This document describes a proposed model for collaborative infrastructure monitoring using participatory sensing. The model involves:
1) Individual sensor networks deployed in homes/buildings that are connected to a cluster head. Cluster heads share some data with a central base station.
2) Users have control over what data they share and at what level of granularity. They can authorize other users to access their data at different levels.
3) Trust between users is calculated based on their past interactions, to determine how much data one user will share with others. If no past interactions exist, opinions from other trusted users can be used to establish an initial trust value.
4) The goal is to integrate individual sensor networks to monitor infrastructure
Context-aware systems represent extremely complex and heterogeneous systems. The need for middleware to bind components together is well recognized and many attempts to build middleware for context-aware systems have been made.
We provide a general introduction about the evolution of the middlewares and then we proceed with an analysis of the requirements and the issues for context-aware middleware.
1. Context-aware computing uses information about a user's environment and situation to provide tailored services, with the goal of delivering the right service at the right moment.
2. Context includes information such as location, identity, activity, schedule, nearby resources and more. It comes from various sources and changes over time.
3. Designing context-aware applications and systems requires acquiring context information, reasoning about it, and using it intelligently to benefit users or services while maintaining user privacy and control. Many technical and research challenges remain open.
The document discusses security mechanisms for spontaneous networks. It begins with an overview of the growth of mobile communications and challenges in configuring services and providing security in spontaneous networks that imitate human relationships. Key management schemes are needed for node authorization and user authentication in mobile ad hoc networks. Existing methods require initial configuration or external authorities. The proposed system aims to reduce dependence on a central authority for re-authentication to avoid possible attacks, increase performance by reducing server utilization, and implement a workload mechanism for efficient server usage.
WEARABLE TECHNOLOGY DEVICES SECURITY AND PRIVACY VULNERABILITY ANALYSISIJNSA Journal
Wearable Technology also called wearable gadget, is acategory of technology devices with low processing
capabilities that can be worn by a user with the aim to provide information and ease of access to the master
devices its pairing with. Such examples are Google Glass and Smart watch. The impact of wearable
technology becomes significant when people start their invention in wearable computing, where their
mobile devices become one of the computation sources. However, wearable technology is not mature yet in
term of device security and privacy acceptance of the public. There exists some security weakness that
prompts such wearable devices vulnerable to attack. One of the critical attack on wearable technology is
authentication issue. The low processing due to less computing power of wearable device causethe
developer's inability to equip some complicated security mechanisms and algorithm on the device.In this
study, an overview of security and privacy vulnerabilities on wearable devices is presented.
THE INTERNET OF THINGS: NEW INTEROPERABILITY, MANAGEMENT AND SECURITY CHALLENGESIJNSA Journal
The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It
extends connectivity to everyday objects. From connected fridges, cars and cities, the IoT creates
opportunities in numerous domains. However, this increase in connectivity creates many prominent
challenges. This paper provides a survey of some of the major issues challenging the widespread adoption
of the IoT. Particularly, it focuses on the interoperability, management, security and privacy issues in the
IoT. It is concluded that there is a need to develop a multifaceted technology approach to IoT security,
management, and privacy.
This document proposes a trust management scheme for unattended wireless sensor networks (UWSNs). UWSNs differ from traditional wireless sensor networks in that they operate without a trusted third party continuously collecting data. The proposed scheme uses a geographic hash table to store trust data across sensor nodes without relying on a centralized trusted entity. It also employs subjective logic-based consensus techniques to mitigate fluctuations in trust caused by environmental factors. Additionally, the scheme uses trust similarity functions to detect and remove trust outliers, making the system more robust against trust pollution attacks.
This document discusses context awareness in mobile computing. It defines context awareness and describes how mobile applications can utilize contextual information like user location, preferences, and device/network capabilities to provide more relevant services with less user interaction. The document presents several scenarios that demonstrate how context-aware applications could work and examines some challenges like imperfect context information. It also outlines typical components of context-aware applications like context modeling, acquisition, and adaptation.
Context-aware systems represent extremely complex and heterogeneous systems. The need for middleware to bind components together is well recognized and many attempts to build middleware for context-aware systems have been made.
We provide a general introduction about the evolution of the middlewares and then we proceed with an analysis of the requirements and the issues for context-aware middleware.
1. Context-aware computing uses information about a user's environment and situation to provide tailored services, with the goal of delivering the right service at the right moment.
2. Context includes information such as location, identity, activity, schedule, nearby resources and more. It comes from various sources and changes over time.
3. Designing context-aware applications and systems requires acquiring context information, reasoning about it, and using it intelligently to benefit users or services while maintaining user privacy and control. Many technical and research challenges remain open.
The document discusses security mechanisms for spontaneous networks. It begins with an overview of the growth of mobile communications and challenges in configuring services and providing security in spontaneous networks that imitate human relationships. Key management schemes are needed for node authorization and user authentication in mobile ad hoc networks. Existing methods require initial configuration or external authorities. The proposed system aims to reduce dependence on a central authority for re-authentication to avoid possible attacks, increase performance by reducing server utilization, and implement a workload mechanism for efficient server usage.
WEARABLE TECHNOLOGY DEVICES SECURITY AND PRIVACY VULNERABILITY ANALYSISIJNSA Journal
Wearable Technology also called wearable gadget, is acategory of technology devices with low processing
capabilities that can be worn by a user with the aim to provide information and ease of access to the master
devices its pairing with. Such examples are Google Glass and Smart watch. The impact of wearable
technology becomes significant when people start their invention in wearable computing, where their
mobile devices become one of the computation sources. However, wearable technology is not mature yet in
term of device security and privacy acceptance of the public. There exists some security weakness that
prompts such wearable devices vulnerable to attack. One of the critical attack on wearable technology is
authentication issue. The low processing due to less computing power of wearable device causethe
developer's inability to equip some complicated security mechanisms and algorithm on the device.In this
study, an overview of security and privacy vulnerabilities on wearable devices is presented.
THE INTERNET OF THINGS: NEW INTEROPERABILITY, MANAGEMENT AND SECURITY CHALLENGESIJNSA Journal
The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It
extends connectivity to everyday objects. From connected fridges, cars and cities, the IoT creates
opportunities in numerous domains. However, this increase in connectivity creates many prominent
challenges. This paper provides a survey of some of the major issues challenging the widespread adoption
of the IoT. Particularly, it focuses on the interoperability, management, security and privacy issues in the
IoT. It is concluded that there is a need to develop a multifaceted technology approach to IoT security,
management, and privacy.
This document proposes a trust management scheme for unattended wireless sensor networks (UWSNs). UWSNs differ from traditional wireless sensor networks in that they operate without a trusted third party continuously collecting data. The proposed scheme uses a geographic hash table to store trust data across sensor nodes without relying on a centralized trusted entity. It also employs subjective logic-based consensus techniques to mitigate fluctuations in trust caused by environmental factors. Additionally, the scheme uses trust similarity functions to detect and remove trust outliers, making the system more robust against trust pollution attacks.
This document discusses context awareness in mobile computing. It defines context awareness and describes how mobile applications can utilize contextual information like user location, preferences, and device/network capabilities to provide more relevant services with less user interaction. The document presents several scenarios that demonstrate how context-aware applications could work and examines some challenges like imperfect context information. It also outlines typical components of context-aware applications like context modeling, acquisition, and adaptation.
InfoSec Technology Management of User Space and Services Through Security Thr...ecarrow
The focus of this paper will demonstrate the need to clearly define
and segregate various user space environments in the enterprise
network infrastructure with controls ranging from administrative
to technical and still provide the various services needed to
facilitate the work space environment and administrative
requirements of an enterprise system. Standards assumed are
industry practices and associated regulatory requirements with
implementations as they apply to the various contextual
applications. This is a high level approach to understanding the
significance and application of an effective secure network
infrastructure. The focus is on end user needs and the associated
services to support those needs. Conceptually user space is a
virtual area allocated to the end user needs identified with specific
services to support those needs by creating a virtual playground.
To manage risk, the concept of creating a "security threat gateway
(STG)" isolates and secures each user space with its associated
services. Emphasis will be placed on the functional managerial
process and application of the STG, safeguarding one user space
from another, to facilitate the use of the needed services to
perform the operational tasks of the organization. When user’s
needs and associated components are clearly identified, then it is
possible for anyone to use this model as a template, to guide them
in creating an effective strategy for their own network security.
This approach is practical in orientation and application, focusing
on a high level perspective and assumes the reader already has a
low level technical background for a tactical implementation in
mitigating risk to the enterprise network infrastructure.
A NOVEL SECURITY PROTOCOL FOR WIRELESS SENSOR NETWORKS BASED ON ELLIPTIC CURV...IJCNCJournal
With the growing usage of wireless sensors in a variety of applications including Internet of Things, the security aspects of wireless sensor networks have been on priority for the researchers. Due to the constraints of resources in wireless sensor networks, it has been always a challenge to design efficient security protocols for wireless sensor networks. An novel elliptic curve signcryption based security protocol for wireless sensor networks has been presented in this paper, which provides anonymity, confidentiality, mutual authentication, forward security, secure key establishment, and key privacy at the same time providing resistance from replay attack, impersonation attack, insider attack, offline dictionary attack, and stolen-verifier attack. Results have revealed that the proposed elliptic curve signcryption based protocol consumes the least time in comparison to other protocols while providing the highest level of security.
What is Ubiquitous Computing?
Ubiquitous computing (alias: Pervasive Computing) is a paradigm in which the processing of information is linked with each activity or object as encountered. It involves connecting electronic devices, including embedding microprocessors to communicate information. Devices that use ubiquitous computing have constant availability and are completely connected.
Ubiquitous computing focuses on learning by removing the complexity of computing and increases efficiency while using computing for different daily activities.
Ubiquitous computing is also known as pervasive computing, everyware and ambient intelligence.
Context-aware mobile computing allows mobile applications to take advantage of contextual information about the user's environment to provide better services. This literature review explores the evolution of context-aware technologies and their impact on society. Key developments include location sensing technologies like GPS and WiFi that provide context data, as well as augmented reality projects like Google Glass and Project Tango that give mobile devices a 3D understanding of space. Context-aware software like Google Now uses this information to deliver the right data to users at the appropriate time.
The document discusses cybersecurity in the mobile communications industry. It notes that delivering advanced cybersecurity is complex due to a constantly evolving threat landscape. The mobile industry, including carriers, manufacturers, and application providers, work together through organizations like CTIA to provide solutions. All players have a shared economic interest in ensuring an effective cybersecurity system across the entire mobile ecosystem. The document provides an overview of today's mobile cybersecurity landscape and solutions.
Digital Marketing First 2014 - Context Aware Computing and Cross Channel Pers...Argus Labs
The document discusses context-aware computing and how Argus Labs is addressing it. Argus Labs has created a sensor fusion platform that can understand context, behavior, and mood using deep learning. It can profile users based on sensors to understand habits and predict human behavior. Argus Labs is applying this across industries like insurance, healthcare, advertising, and more to engage users based on their context in a personalized manner.
Multi-Tiered Communication Security Schemes in Wireless Ad-Hoc Sensor NetworksIDES Editor
Networks of wireless micro-sensors for monitoring
physical environments have emerged as an important new
application area for wireless technology. Key attributes of
these new types of networked systems are the severely
constrained computational and energy resources and an ad
hoc operational environment. This paper is a study of the
communication security aspects of these networks. Resource
limitations and specific architecture of sensor networks call
for customized security mechanisms. Our approach is to
classify the types of data existing in sensor networks, and
identify possible communication security threats according
to that classification. We propose a communication security
scheme where for each type of data we define a corresponding
security mechanism. By employing this multi-tiered security
architecture where each mechanism has different resource
requirements, we allow for efficient resource management,
which is essential for wireless sensor networks.
A Security Framework for Replication Attacks in Wireless Sensor NetworksIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
A review of privacy preserving techniques in wireless sensor networkAlexander Decker
This document reviews privacy preserving techniques in wireless sensor networks. It discusses the need for privacy in wireless sensor network applications due to various privacy attacks. It summarizes location privacy, data privacy, and network privacy techniques that have been developed to address challenges in preserving privacy for wireless sensor networks. The document also outlines unique challenges for privacy preservation in wireless sensor networks, such as an uncontrollable environment and resource constraints of sensor nodes.
As the Supervisory Control and Data Acquisition (SCADA) system are deployed in infrastructures which are critical to the survival of a nation, they have emerged as a potential terrain for cyber-war, thus attracting the considered attention of ‘nation-states’. The analysis of worms like ‘stuxnet’ ‘flame’ and ‘duqu’ reveals the hand of a ‘nation-state’ in their design and deployment. Hence, the necessity to understand various issues in the defence of SCADA systems arises. The forensics of the SCADA system provide deep insight into the design and deployment of the worm (the malware) once the system is attacked. This is precisely the scope of this essay.
A trust-based authentication framework for security of WPAN using network sli...IJECEIAES
This document proposes a lightweight trust-based authentication framework for security in wireless personal area networks (WPANs). The framework divides nodes into primary and secondary groups through network slicing. It calculates trust values for nodes based on direct, indirect, and integrated trust models. The trust values are used to authenticate nodes' requests to access WPAN resources. The framework aims to distinguish valid requests from untrustworthy nodes to enhance security while maintaining energy efficiency in WPANs.
AUTHENTICATION USING TRUST TO DETECT MISBEHAVING NODES IN MOBILE AD HOC NETWO...IJNSA Journal
Providing security in Mobile Ad Hoc Network is crucial problem due to its open shared wireless medium,
multi-hop and dynamic nature, constrained resources, lack of administration and cooperation.
Traditionally routing protocols are designed to cope with routing operation but in practice they may be
affected by misbehaving nodes so that they try to disturb the normal routing operations by launching
different attacks with the intention to minimize or collapse the overall network performance. Therefore
detecting a trusted node means ensuring authentication and securing routing can be expected. In this
article we have proposed a Trust and Q-learning based Security (TQS) model to detect the misbehaving
nodes over Ad Hoc On Demand Distance-Vector (AODV) routing protocol. Here we avoid the misbehaving
nodes by calculating an aggregated reward, based on the Q-learning mechanism by using their historical
forwarding and responding behaviour by the way misbehaving nodes can be isolated.
International Journal of Computational Engineering Research(IJCER) ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Even in difficult places to reach, the new networking technique allows the easy deployment of sensor networks although these wireless sensor networks confront a lot of constraints. The major constraint is related to the quality of information sent by the network. The wireless sensor networks use different methods to achieve data to the base station. Data aggregation is an important one, used by these wireless sensor networks. But this aggregated data can be subject to several types of attacks and provides security is necessary to resist against malicious attacks, secure communication between severely resource constrained sensor nodes while maintaining the flexibility of the topology changes. Recently, several secure data aggregation schemes have been proposed for wireless sensor networks, it provides better security compared with traditional aggregation. In this paper, we try to focus on giving a brief statement of the various approaches used for the purpose of secure data aggregation in wireless sensor networks.
An IOT Based Low Power Health Monitoring with Active Personal Assistanceijtsrd
Among sensible goals of active and assisted living paradigm is the unobtrusive monitoring of daily living activities. A lot of research has been going on continuous home and personal monitoring applications. There are many solutions were adapted by these technologies to make better remote monitoring applications. The traditional continuous home and personal monitoring systems which are implemented with traditional client server architecture which may fail in factors like low power consumption, un deterministic data delivery time, More sensitive to external connectivity issues temporary failures of servers , adhoc networks using ZigBee and Z wave etc. and also increase the cost of implementation. However, when dealing with the home environment, and especially with older adults, obtrusiveness, usability, and cost concerns are of the utmost relevance for active and assisted Living AAL joint program. With advent of cloud services, the continuous remote monitoring based applications became truly plug and play' approach implementation and also reduce the problems of temporary failures. One of the biggest challenges in this area is to make such application devices work with low power battery based applications . The main drawback comes from the higher power consumption, inherently needed to sustain much higher data rates. In this project, a solution is proposed to improve the low power consumption in Wi Fi sensors by making use of advanced RF based Microprocessor from Texas instruments CC3200 . Bed Occupancy sensor automation has been designed and implemented to test the feasibility of the approach. The TI CC3200 comes with ARM Cortex M4 as a core and inbuilt Wi Fi subsystem. The CC3200 provides different power modes to make the device enter into sleep or hibernate mode. This device will only enter only in work phase when the sensor is active state. During this phase, the processor sample and processes the sensor data and uploads to the cloud using REST API. Thing speak is an IoT cloud service used to present the sensory data as graphs, bar charts, and dashboards on the cloud remaining time it will enter into sleep phase to save the power of the device, so that it will extend the battery life time of the device. B. N. Meenakshi | Mrs. N. V. Durga "An IOT Based Low Power Health Monitoring with Active Personal Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29603.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/29603/an-iot-based-low-power-health-monitoring-with-active-personal-assistance/b-n-meenakshi
IRJET- A Novel Mechanism for Clone Attack Detection in Hybrid IoT DevicesIRJET Journal
This document proposes a new method called MDSClone for detecting clone attacks in hybrid IoT networks. MDSClone uses multidimensional scaling (MDS) to generate a network map based on relative distances between nodes, without requiring knowledge of node locations. This overcomes limitations of existing methods that rely on node geography or assume static networks. MDSClone can detect clones in hybrid networks containing both static and mobile nodes. It parallelizes parts of the detection process to speed up clone identification. The method is designed specifically for IoT environments where nodes may lack accurate location data and have varying mobility.
In this presentation, I describe the Context-Aware concept, Context-Aware Computing, and Context-Aware application with some application example of use it
Torsten Braun presented on developing and evaluating energy-efficient and adaptive protocols for wireless sensor networks. He discussed wireless sensor network applications like environmental and building monitoring. Key application requirements include energy efficiency, low delays, reliability, and adaptivity. He described designing, implementing, and evaluating WSN protocols through simulations and experiments on a wireless sensor network testbed called WISEBED, which is a pan-European federation of over 1000 sensor nodes across 9 testbeds. The testbed infrastructure includes sensor nodes, backbones to connect to a portal, and a portal that acts as a gateway between the internet and the wireless sensor network.
Context refers to information that can characterize an entity's situation, such as a user's location, identity, activity, time, nearby objects and people. Context-aware computing uses sensors to automatically collect context and adapt applications and services to the user's context. There is a need for context-aware computing because computers lack the implicit contextual cues that humans use in communication. Context-aware applications can make interactions between humans and computers more natural by tailoring information and services to the user's changing context.
A review of privacy preserving techniques in wireless sensor networkAlexander Decker
This document reviews various techniques for preserving privacy in wireless sensor networks. It discusses the challenges of privacy preservation in WSNs due to their unique characteristics like resource constraints and topological constraints. It then summarizes several key techniques explored in research for preserving data privacy, source location privacy, sink location privacy and network privacy. These techniques include clustering-based approaches, random walk-based approaches and mixing-based approaches. The document concludes that while progress has been made, more research is still needed in areas like peer-to-peer network privacy preservation.
An Information Maximization approach of ICA for Gender ClassificationIDES Editor
In this paper, a novel and successful method for
gender classification from human faces using dimensionality
reduction technique is proposed. Independent Component
Analysis (ICA) is one of such techniques. In the current
scheme, a thrust is given on the different algorithms and
architectures of ICA. An information maximization ICA is
discussed with its two architecture and compared with the two
architectures of fast ICA. Support Vector Machine (SVM) is
used as a classifier for the separation of male and female
classes. All experiments are done on FERET database. Results
are obtained for the different combinations of train and test
database sizes. For larger
training set SVM is performing with an accuracy of 98%. The
accuracy values are varied for change in size of testing set and
the proposed system performs with an average accuracy of
96%. An improvement in performance is achieved using class
discriminability which performs with 100% accuracy.
Inverse Gamma Distribution based Delay and Slew Modeling for On- Chip VLSI RC...IDES Editor
The Elmore delay is fast becoming ineffective for
deep submicron technologies, and reduced order transfer
function delays are impractical for use as early-phase design
metrics or as design optimization cost functions. This paper
describes an accurate approach for fitting moments of the
impulse response to probability density functions so that delay
and slew metric can be estimated accurately at an early
physical design stage. PERI (Probability distribution function
Extension for Ramp Inputs) technique has been used that
extends the delay and slew metrics for step inputs to the more
general and realistic non-step or ramp inputs. The accuracy
of the proposed model is justified by the results obtained from
the proposed model and that of SPICE simulations
InfoSec Technology Management of User Space and Services Through Security Thr...ecarrow
The focus of this paper will demonstrate the need to clearly define
and segregate various user space environments in the enterprise
network infrastructure with controls ranging from administrative
to technical and still provide the various services needed to
facilitate the work space environment and administrative
requirements of an enterprise system. Standards assumed are
industry practices and associated regulatory requirements with
implementations as they apply to the various contextual
applications. This is a high level approach to understanding the
significance and application of an effective secure network
infrastructure. The focus is on end user needs and the associated
services to support those needs. Conceptually user space is a
virtual area allocated to the end user needs identified with specific
services to support those needs by creating a virtual playground.
To manage risk, the concept of creating a "security threat gateway
(STG)" isolates and secures each user space with its associated
services. Emphasis will be placed on the functional managerial
process and application of the STG, safeguarding one user space
from another, to facilitate the use of the needed services to
perform the operational tasks of the organization. When user’s
needs and associated components are clearly identified, then it is
possible for anyone to use this model as a template, to guide them
in creating an effective strategy for their own network security.
This approach is practical in orientation and application, focusing
on a high level perspective and assumes the reader already has a
low level technical background for a tactical implementation in
mitigating risk to the enterprise network infrastructure.
A NOVEL SECURITY PROTOCOL FOR WIRELESS SENSOR NETWORKS BASED ON ELLIPTIC CURV...IJCNCJournal
With the growing usage of wireless sensors in a variety of applications including Internet of Things, the security aspects of wireless sensor networks have been on priority for the researchers. Due to the constraints of resources in wireless sensor networks, it has been always a challenge to design efficient security protocols for wireless sensor networks. An novel elliptic curve signcryption based security protocol for wireless sensor networks has been presented in this paper, which provides anonymity, confidentiality, mutual authentication, forward security, secure key establishment, and key privacy at the same time providing resistance from replay attack, impersonation attack, insider attack, offline dictionary attack, and stolen-verifier attack. Results have revealed that the proposed elliptic curve signcryption based protocol consumes the least time in comparison to other protocols while providing the highest level of security.
What is Ubiquitous Computing?
Ubiquitous computing (alias: Pervasive Computing) is a paradigm in which the processing of information is linked with each activity or object as encountered. It involves connecting electronic devices, including embedding microprocessors to communicate information. Devices that use ubiquitous computing have constant availability and are completely connected.
Ubiquitous computing focuses on learning by removing the complexity of computing and increases efficiency while using computing for different daily activities.
Ubiquitous computing is also known as pervasive computing, everyware and ambient intelligence.
Context-aware mobile computing allows mobile applications to take advantage of contextual information about the user's environment to provide better services. This literature review explores the evolution of context-aware technologies and their impact on society. Key developments include location sensing technologies like GPS and WiFi that provide context data, as well as augmented reality projects like Google Glass and Project Tango that give mobile devices a 3D understanding of space. Context-aware software like Google Now uses this information to deliver the right data to users at the appropriate time.
The document discusses cybersecurity in the mobile communications industry. It notes that delivering advanced cybersecurity is complex due to a constantly evolving threat landscape. The mobile industry, including carriers, manufacturers, and application providers, work together through organizations like CTIA to provide solutions. All players have a shared economic interest in ensuring an effective cybersecurity system across the entire mobile ecosystem. The document provides an overview of today's mobile cybersecurity landscape and solutions.
Digital Marketing First 2014 - Context Aware Computing and Cross Channel Pers...Argus Labs
The document discusses context-aware computing and how Argus Labs is addressing it. Argus Labs has created a sensor fusion platform that can understand context, behavior, and mood using deep learning. It can profile users based on sensors to understand habits and predict human behavior. Argus Labs is applying this across industries like insurance, healthcare, advertising, and more to engage users based on their context in a personalized manner.
Multi-Tiered Communication Security Schemes in Wireless Ad-Hoc Sensor NetworksIDES Editor
Networks of wireless micro-sensors for monitoring
physical environments have emerged as an important new
application area for wireless technology. Key attributes of
these new types of networked systems are the severely
constrained computational and energy resources and an ad
hoc operational environment. This paper is a study of the
communication security aspects of these networks. Resource
limitations and specific architecture of sensor networks call
for customized security mechanisms. Our approach is to
classify the types of data existing in sensor networks, and
identify possible communication security threats according
to that classification. We propose a communication security
scheme where for each type of data we define a corresponding
security mechanism. By employing this multi-tiered security
architecture where each mechanism has different resource
requirements, we allow for efficient resource management,
which is essential for wireless sensor networks.
A Security Framework for Replication Attacks in Wireless Sensor NetworksIJMER
International Journal of Modern Engineering Research (IJMER) is Peer reviewed, online Journal. It serves as an international archival forum of scholarly research related to engineering and science education.
A review of privacy preserving techniques in wireless sensor networkAlexander Decker
This document reviews privacy preserving techniques in wireless sensor networks. It discusses the need for privacy in wireless sensor network applications due to various privacy attacks. It summarizes location privacy, data privacy, and network privacy techniques that have been developed to address challenges in preserving privacy for wireless sensor networks. The document also outlines unique challenges for privacy preservation in wireless sensor networks, such as an uncontrollable environment and resource constraints of sensor nodes.
As the Supervisory Control and Data Acquisition (SCADA) system are deployed in infrastructures which are critical to the survival of a nation, they have emerged as a potential terrain for cyber-war, thus attracting the considered attention of ‘nation-states’. The analysis of worms like ‘stuxnet’ ‘flame’ and ‘duqu’ reveals the hand of a ‘nation-state’ in their design and deployment. Hence, the necessity to understand various issues in the defence of SCADA systems arises. The forensics of the SCADA system provide deep insight into the design and deployment of the worm (the malware) once the system is attacked. This is precisely the scope of this essay.
A trust-based authentication framework for security of WPAN using network sli...IJECEIAES
This document proposes a lightweight trust-based authentication framework for security in wireless personal area networks (WPANs). The framework divides nodes into primary and secondary groups through network slicing. It calculates trust values for nodes based on direct, indirect, and integrated trust models. The trust values are used to authenticate nodes' requests to access WPAN resources. The framework aims to distinguish valid requests from untrustworthy nodes to enhance security while maintaining energy efficiency in WPANs.
AUTHENTICATION USING TRUST TO DETECT MISBEHAVING NODES IN MOBILE AD HOC NETWO...IJNSA Journal
Providing security in Mobile Ad Hoc Network is crucial problem due to its open shared wireless medium,
multi-hop and dynamic nature, constrained resources, lack of administration and cooperation.
Traditionally routing protocols are designed to cope with routing operation but in practice they may be
affected by misbehaving nodes so that they try to disturb the normal routing operations by launching
different attacks with the intention to minimize or collapse the overall network performance. Therefore
detecting a trusted node means ensuring authentication and securing routing can be expected. In this
article we have proposed a Trust and Q-learning based Security (TQS) model to detect the misbehaving
nodes over Ad Hoc On Demand Distance-Vector (AODV) routing protocol. Here we avoid the misbehaving
nodes by calculating an aggregated reward, based on the Q-learning mechanism by using their historical
forwarding and responding behaviour by the way misbehaving nodes can be isolated.
International Journal of Computational Engineering Research(IJCER) ijceronline
International Journal of Computational Engineering Research(IJCER) is an intentional online Journal in English monthly publishing journal. This Journal publish original research work that contributes significantly to further the scientific knowledge in engineering and Technology.
Even in difficult places to reach, the new networking technique allows the easy deployment of sensor networks although these wireless sensor networks confront a lot of constraints. The major constraint is related to the quality of information sent by the network. The wireless sensor networks use different methods to achieve data to the base station. Data aggregation is an important one, used by these wireless sensor networks. But this aggregated data can be subject to several types of attacks and provides security is necessary to resist against malicious attacks, secure communication between severely resource constrained sensor nodes while maintaining the flexibility of the topology changes. Recently, several secure data aggregation schemes have been proposed for wireless sensor networks, it provides better security compared with traditional aggregation. In this paper, we try to focus on giving a brief statement of the various approaches used for the purpose of secure data aggregation in wireless sensor networks.
An IOT Based Low Power Health Monitoring with Active Personal Assistanceijtsrd
Among sensible goals of active and assisted living paradigm is the unobtrusive monitoring of daily living activities. A lot of research has been going on continuous home and personal monitoring applications. There are many solutions were adapted by these technologies to make better remote monitoring applications. The traditional continuous home and personal monitoring systems which are implemented with traditional client server architecture which may fail in factors like low power consumption, un deterministic data delivery time, More sensitive to external connectivity issues temporary failures of servers , adhoc networks using ZigBee and Z wave etc. and also increase the cost of implementation. However, when dealing with the home environment, and especially with older adults, obtrusiveness, usability, and cost concerns are of the utmost relevance for active and assisted Living AAL joint program. With advent of cloud services, the continuous remote monitoring based applications became truly plug and play' approach implementation and also reduce the problems of temporary failures. One of the biggest challenges in this area is to make such application devices work with low power battery based applications . The main drawback comes from the higher power consumption, inherently needed to sustain much higher data rates. In this project, a solution is proposed to improve the low power consumption in Wi Fi sensors by making use of advanced RF based Microprocessor from Texas instruments CC3200 . Bed Occupancy sensor automation has been designed and implemented to test the feasibility of the approach. The TI CC3200 comes with ARM Cortex M4 as a core and inbuilt Wi Fi subsystem. The CC3200 provides different power modes to make the device enter into sleep or hibernate mode. This device will only enter only in work phase when the sensor is active state. During this phase, the processor sample and processes the sensor data and uploads to the cloud using REST API. Thing speak is an IoT cloud service used to present the sensory data as graphs, bar charts, and dashboards on the cloud remaining time it will enter into sleep phase to save the power of the device, so that it will extend the battery life time of the device. B. N. Meenakshi | Mrs. N. V. Durga "An IOT Based Low Power Health Monitoring with Active Personal Assistance" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-1 , December 2019, URL: https://www.ijtsrd.com/papers/ijtsrd29603.pdfPaper URL: https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/29603/an-iot-based-low-power-health-monitoring-with-active-personal-assistance/b-n-meenakshi
IRJET- A Novel Mechanism for Clone Attack Detection in Hybrid IoT DevicesIRJET Journal
This document proposes a new method called MDSClone for detecting clone attacks in hybrid IoT networks. MDSClone uses multidimensional scaling (MDS) to generate a network map based on relative distances between nodes, without requiring knowledge of node locations. This overcomes limitations of existing methods that rely on node geography or assume static networks. MDSClone can detect clones in hybrid networks containing both static and mobile nodes. It parallelizes parts of the detection process to speed up clone identification. The method is designed specifically for IoT environments where nodes may lack accurate location data and have varying mobility.
In this presentation, I describe the Context-Aware concept, Context-Aware Computing, and Context-Aware application with some application example of use it
Torsten Braun presented on developing and evaluating energy-efficient and adaptive protocols for wireless sensor networks. He discussed wireless sensor network applications like environmental and building monitoring. Key application requirements include energy efficiency, low delays, reliability, and adaptivity. He described designing, implementing, and evaluating WSN protocols through simulations and experiments on a wireless sensor network testbed called WISEBED, which is a pan-European federation of over 1000 sensor nodes across 9 testbeds. The testbed infrastructure includes sensor nodes, backbones to connect to a portal, and a portal that acts as a gateway between the internet and the wireless sensor network.
Context refers to information that can characterize an entity's situation, such as a user's location, identity, activity, time, nearby objects and people. Context-aware computing uses sensors to automatically collect context and adapt applications and services to the user's context. There is a need for context-aware computing because computers lack the implicit contextual cues that humans use in communication. Context-aware applications can make interactions between humans and computers more natural by tailoring information and services to the user's changing context.
A review of privacy preserving techniques in wireless sensor networkAlexander Decker
This document reviews various techniques for preserving privacy in wireless sensor networks. It discusses the challenges of privacy preservation in WSNs due to their unique characteristics like resource constraints and topological constraints. It then summarizes several key techniques explored in research for preserving data privacy, source location privacy, sink location privacy and network privacy. These techniques include clustering-based approaches, random walk-based approaches and mixing-based approaches. The document concludes that while progress has been made, more research is still needed in areas like peer-to-peer network privacy preservation.
An Information Maximization approach of ICA for Gender ClassificationIDES Editor
In this paper, a novel and successful method for
gender classification from human faces using dimensionality
reduction technique is proposed. Independent Component
Analysis (ICA) is one of such techniques. In the current
scheme, a thrust is given on the different algorithms and
architectures of ICA. An information maximization ICA is
discussed with its two architecture and compared with the two
architectures of fast ICA. Support Vector Machine (SVM) is
used as a classifier for the separation of male and female
classes. All experiments are done on FERET database. Results
are obtained for the different combinations of train and test
database sizes. For larger
training set SVM is performing with an accuracy of 98%. The
accuracy values are varied for change in size of testing set and
the proposed system performs with an average accuracy of
96%. An improvement in performance is achieved using class
discriminability which performs with 100% accuracy.
Inverse Gamma Distribution based Delay and Slew Modeling for On- Chip VLSI RC...IDES Editor
The Elmore delay is fast becoming ineffective for
deep submicron technologies, and reduced order transfer
function delays are impractical for use as early-phase design
metrics or as design optimization cost functions. This paper
describes an accurate approach for fitting moments of the
impulse response to probability density functions so that delay
and slew metric can be estimated accurately at an early
physical design stage. PERI (Probability distribution function
Extension for Ramp Inputs) technique has been used that
extends the delay and slew metrics for step inputs to the more
general and realistic non-step or ramp inputs. The accuracy
of the proposed model is justified by the results obtained from
the proposed model and that of SPICE simulations
Depth-Image-based Facial Analysis between Age Groups and Recognition of 3D FacesIDES Editor
Face recognition is still an open problem. Many 2D
face recognition approaches came into light to achieve high
recognition rate. But these approaches are still challenged by
the changes in illuminations, expressions, pose, noise, etc. A
3D face recognition technique is proposed to overcome such
challenges and to enhance robustness to expression variations.
Here, we compare the person at different age groups with
higher recognition rate in comparison to 2D face recognition
techniques. We propose a two stage procedure of 3D face
recognition based on FLD (Fisher Linear Discriminant), SURF
operator and depth-image. First, FLD is used on depth-image
to perform recognition and then the SURF features of 2D
gray images to carry out the refined recognition. Finally, our
proposed work will increase the robustness in expression
variations.
Neural Network Based Noise Identification in Digital ImagesIDES Editor
Image noise is unwanted information in an image
and can occur at any moment of time such as during image
capture, transmission, or processing and it may or may not
depend on image content. In order to remove the noise from
the noisy image, prior knowledge about the nature of noise
must be known otherwise noise removal causes the image
blurring. Identifying nature of noise is a challenging problem.
Many researchers have proposed their ideas on image noise
identification and each of the work has its assumptions,
advantages and limitations. In this paper, we proposed a new
methodology based on neural network for identifying the
different types of noise such as Non Gaussian, Gaussian white,
Salt and Pepper and Speckle noise.
An Adaptive Energy Efficient Reliable Routing Protocol for Wireless Sensor Ne...IDES Editor
A reliable routing protocol for wireless sensor
networks (WSN) should be capable of adjusting to
constantly varying network conditions while conserving
maximum power. Existing Routing protocols provide
reliability at the cost of high energy consumption. In this
paper, we propose to develop an Adaptive Energy Efficient
Reliable Routing Protocol (AEERRP) with the aim of
keeping the energy consumption low while achieving high
reliability. In our proposed protocol, the data forwarding
probability is adaptively adjusted based on the measured
loss conditions at the sink. So only for high loss rates, a node
makes use of high transmission power to arrive at the sink.
Whenever the loss rate is low, it adaptively lessens the
transmission power. Since the source rebroadcasts the data,
until the packet loss is minimized, high data reliability is
achieved. By simulation results we show that the proposed
protocol achieves high reliability while ensuring low energy
consumption and overhead.
Energy efficient reliable routing considering residual energy in wireless ad ...LeMeniz Infotech
Energy Efficient Reliable Routing Considering Residual Energy in Wireless Ad Hoc Networks
A model for the energy consumption of a node as a function of its throughput in a wireless CSMA network is proposed. A single-hop network is modeled, and then a multi-hop network
Optimal Placement of DG for Loss Reduction and Voltage Sag Mitigation in Radi...IDES Editor
This paper presents the need to operate the power
system economically and with optimum levels of voltages has
further led to an increase in interest in Distributed
Generation. In order to reduce the power losses and to improve
the voltage in the distribution system, distributed generators
(DGs) are connected to load bus. To reduce the total power
losses in the system, the most important process is to identify
the proper location for fixing and sizing of DGs. It presents a
new methodology using a new population based meta heuristic
approach namely Artificial Bee Colony algorithm(ABC) for
the placement of Distributed Generators(DG) in the radial
distribution systems to reduce the real power losses and to
improve the voltage profile, voltage sag mitigation. The power
loss reduction is important factor for utility companies because
it is directly proportional to the company benefits in a
competitive electricity market, while reaching the better power
quality standards is too important as it has vital effect on
customer orientation. In this paper an ABC algorithm is
developed to gain these goals all together. In order to evaluate
sag mitigation capability of the proposed algorithm, voltage
in voltage sensitive buses is investigated. An existing 20KV
network has been chosen as test network and results are
compared with the proposed method in the radial distribution
system.
Design and Performance Analysis of Genetic based PID-PSS with SVC in a Multi-...IDES Editor
Damping of power system oscillations with the help
of proposed optimal Proportional Integral Derivative Power
System Stabilizer (PID-PSS) and Static Var Compensator
(SVC)-based controllers are thoroughly investigated in this
paper. This study presents robust tuning of PID-PSS and
SVC-based controllers using Genetic Algorithms (GA) in
multi machine power systems by considering detailed model
of the generators (model 1.1). The effectiveness of FACTSbased
controllers in general and SVC-based controller in
particular depends upon their proper location. Modal
controllability and observability are used to locate SVC–based
controller. The performance of the proposed controllers is
compared with conventional lead-lag power system stabilizer
(CPSS) and demonstrated on 10 machines, 39 bus New England
test system. Simulation studies show that the proposed genetic
based PID-PSS with SVC based controller provides better
performance.
Power System State Estimation - A ReviewIDES Editor
This document provides a review of power system state estimation techniques. It discusses both static and dynamic state estimation algorithms. For static state estimation, it covers weighted least squares, decoupled, and robust estimation methods. Weighted least squares is commonly used but can have numerical instability issues. Decoupled state estimation approximates the gain matrix for faster computation. Robust estimation uses M-estimators and other techniques to handle outliers and bad data. Dynamic state estimation applies Kalman filtering, leapfrog algorithms, and other methods to continuously monitor system states over time.
Secure Distributed Collection of Data Using Participator Sensing ParadigmIJERA Editor
Distributed collection of data has been made possible with the deployment of sensor devices across many
geographical areas. Mobile phone users who employ sensors to acquire local knowledge pertaining to
temperature, product pricing, transportation facilities and so on can participate in the network that is distributed
in nature. Such network can acquire varied knowledge from diversified geographical locations. This kind of
knowledge acquisition from across the globe is known as participatory sensing (PS). Of late it has become
ubiquitous and rigorous research is on this field. Cristofaro and Soriente studied the operations of PS recently
and came to know the fact that participation of mobile users is at risk when incentives or not considered and the
users’ privacy is at stake. Their framework could provide privacy besides improving the rate of mobile user
participation in PS. However, their solution can be enhanced with respect to query privacy in the operations of
PS. Towards this end we propose a framework that incorporates TLS security among the network so as to ensure
foolproof security in the distributed collection of data through participatory sensing.
Paper Florencio Cano - Patient data security in a wireless and mobile worldWTHS
1. Mobile devices and wireless networks introduce new security threats to patient data and medical devices in healthcare environments.
2. A risk assessment should be conducted to identify the most critical risks and prioritize security measures. This involves analyzing important information assets, threats, vulnerabilities, and calculating risk levels.
3. Defense in depth with security policies, endpoint security measures, and network security controls at multiple layers is recommended to secure healthcare networks with mobile devices and protect sensitive patient data and medical devices from various threats.
I want you to Read intensively papers and give me a summary for ever.pdfamitkhanna2070
I want you to Read intensively papers and give me a summary for every paper and the linghth for
each paper is 2 pages or more. In the summary, you need to provide some of your own ideas.
Research Interests: Privacy-Aware Computing,Wireless and Mobile Security,Fog
Computing,Mobile Health and Safety, Cognitive Radio Networking,Algorithm Design and
Analysis.
You should select papers from the following conferences:
IEEE INFOCOM, IEEE Symposium on security and privacy, ACM CCS, USENIX Security.
Solution
PRIVACY AWARE COMPUTING
Introduction
With the increasing public concerns of security and personal data privacy worldwide, security
and privacy become an important research area. This research area is very broad and covers
many application domains.
The security and privacy aware computing research group actually focuses on
(1) privacy-preserved computing,
(2) Video surveillance, and
(3) secure biometric system.
Now let us briefly discuss the above three groups.
Privacy-preserved Computing
Concerns on the data privacy have been increasing worldwide. For example, Apple was
reportedly fined by South Korea’s telecommunications regulator for allegedly collecting and
storing private location data of iPhone users. The privacy concerns raised by both end-users and
government authorities have been hindering the deployment of many valuable IT services, such
as data mining and analysis, data outsourcing, and mobile location-aware computing.
soo, in response to the growing necessity of protecting data privacy, our research group has been
focusing on developing innovative solutions towards information services --- to support these
services while preserving users’ personal privacy.
Video Surveillance
With the growing installation of surveillance video cameras in both private and public areas, the
closed-circuit TV (CCTV) has been evolved from a single camera system to a multiple camera
system; and has recently been extended to a large-scale network of cameras.
One of the objectives of a camera network is to monitor and understand security issues in the
area under surveillance. While the camera network hardware is generally well-designed and
roundly installed, the development of intelligent video analysis software lags far behind. As
such, our group has been focusing on developing video surveillance algorithms such as face
tracking, person re-identification, human action recognition.
Our goal is to develop an intelligent video surveillance system.
Secure Biometric System
With the growing use of biometrics, there is a rising concern about the security and privacy of
the biometric data. Recent studies show that simple attacks on a biometric system, such as hill
climbing, are able to recover the raw biometric data from stolen biometric template. Moreover,
the attacker may be able to make use of the stolen face template to access the system or cross-
match across databases. Our group has been working on face template protection, multimodality
template protection, and .
- The document discusses securing the Internet of Things (IoT), where every physical object has a virtual presence and can interact over the Internet.
- Several obstacles stand in the way of fulfilling the IoT vision, including security issues as the Internet and its users are already under attack and constrained IoT devices are vulnerable.
- To implement IoT security successfully, researchers must understand the IoT conceptually, evaluate current Internet security, and develop solutions that can reasonably assure a secure IoT.
This document summarizes a chapter from a book on wireless sensor networks. It discusses wireless sensor networks and their applications in monitoring various environmental parameters in greenhouses. It describes the components of a wireless sensor network including sensor nodes that collect data and multi-hop gateway nodes that transmit data to a central location. It also discusses some challenges with wireless sensor networks including hardware limitations and issues with power consumption and software. Finally, it provides examples of platforms and databases that enable online collaboration of sensor data.
Wireless sensor network plays vital role in today’s life, it is a collection of sensors that are scattered in different directions which are further used to control and measure the physical conditions of environment as well as to organize to the data somewhere at centre location. As in context of greenhouse we can measure various parameters such as temperature, humidity, water level, insect monitoring and light intensity.
Chapter 1 of insect monitoring using wsn sensornehasharma12345
This document summarizes a chapter about wireless sensor networks that includes:
1) Wireless sensor networks allow for monitoring various environmental parameters like temperature, humidity, and light intensity using scattered sensor nodes.
2) Sensor nodes are connected through sensors to other nodes to transmit data to a central location using multi-hop routing techniques.
3) Challenges for collaborative sensor data platforms include organizing conflicting or contradictory information from different sensors and users.
IJRET : International Journal of Research in Engineering and Technology is an international peer reviewed, online journal published by eSAT Publishing House for the enhancement of research in various disciplines of Engineering and Technology. The aim and scope of the journal is to provide an academic medium and an important reference for the advancement and dissemination of research results that support high-level learning, teaching and research in the fields of Engineering and Technology. We bring together Scientists, Academician, Field Engineers, Scholars and Students of related fields of Engineering and Technology
Security Attacks And Solutions On Ubiquitous Computing NetworksAhmad Sharifi
This document discusses security challenges in ubiquitous computing environments. It begins by defining ubiquitous computing as involving the integration of computing technology into everyday objects and environments. This allows information access from any device at any time, but also increases security risks. The document then outlines some common ubiquitous applications like smart homes. It identifies key security issues like lack of authentication, unauthorized access, and privacy concerns. Finally, it discusses challenges in ubiquitous security including how the expanded computing environment impacts traditional security methods and introduces new privacy and trust issues.
Privacy Preserving Aggregate Statistics for Mobile CrowdsensingIJSRED
This document summarizes a research paper on preserving privacy in mobile crowdsensing applications. It discusses how crowdsourced data can be aggregated and mined for valuable information but also risks disclosing sensitive user information. The paper proposes a new framework that introduces multiple agents between users and an untrusted server to help preserve location privacy of both workers and tasks in spatial crowdsourcing applications. Users upload sensed data to random agents, who then aggregate and perturb the statistics before further aggregation to publish overall statistics to third parties while protecting individual privacy through differential privacy techniques. The framework aims to enable privacy-preserving participation in crowdsourcing without relying on any single trusted entity.
This document provides an overview of energy harvesting technologies for sustainable wireless sensor networks. It discusses how wireless sensor networks (WSNs) are being used in applications like structural health monitoring and battlefield surveillance. WSNs allow for distributed sensing and processing but face challenges around limited energy resources. The document reviews different energy harvesting technologies that could provide sustainable power sources for sensor nodes, like solar, thermal, and kinetic energy harvesting. It examines how these technologies work and their potential to enable long-term operation of energy-constrained wireless sensor networks.
The document discusses implementing Zigbee in home automation using wireless sensors. It describes wireless sensor networks (WSN) which consist of distributed autonomous devices using sensors to monitor environmental conditions. WSN integrate a gateway providing wireless connectivity back to wired networks and distributed sensor nodes. The document outlines challenges for WSN including converting raw sensor data to usable knowledge, maintaining system robustness over time as conditions change, dealing with open and heterogeneous systems, and addressing security, privacy, real-time and actuation issues.
Privacy-aware secured discrete framework in wireless sensor networkIJECEIAES
Rapid expansion of wireless sensor network-internet of things (WSN-IoT) in terms of application and technologies has led to wide research considering efficiency and security aspects. Considering the efficiency approach such as data aggregation along with consensus mechanism has been one of the efficient and secure approaches, however, privacy has been one of major concern and it remains an open issue due to low classification and high misclassification rate. This research work presents the privacy and reliable aware discrete (PRD-aggregation) framework to protect and secure the privacy of the node. It works by initializing the particular variable for each node and defining the threshold; further nodes update their state through the functions, and later consensus is developed among the sensor nodes, which further updates. The novelty of PRD is discretized transmission for efficiency and security. PRD-aggregation offers reliability through efficient termination criteria and avoidance of transmission failure. PRD-aggregation framework is evaluated considering the number of deceptive nodes for securing the node in the network. Furthermore, comparative analysis proves the marginal improvisation in terms of discussed parameter against the existing protocol.
A survey on hiding user privacy in location based services through clusteringeSAT Journals
Abstract Smartphone’s are being more and more popular as the technology being evolve. The Smartphone’s are capable of providing the location aware services like GPS. They share all the location information with the central location server. When user submit any query then these query also carries some personal information of the user. This query and information is then submitted to the LGS server. At the LBS server this information is not much confidential. Someone can use this information to make user panic. To overcome this we are proposing the new collaborative approach to hide user’s personal data from the LBS server. Our approach does not lead to make changes in the architecture of the LBS server. And we are also not going to use the third party server. Here we are going to use the other user’s device to search other users query so that other user can be get hide from the LBS server. Keywords: Mobile networks, location-based services, location privacy, Bayesian inference attacks, epidemic models
Vertical Fragmentation of Location Information to Enable Location Privacy in ...ijasa
The aim of the development of Pervasive computing was to simplify our lives by integrating
communication technologies into real life. Location aware computing which is evolved from pervasive
computing performs services which are dependent on the location of the user or his communication
device. The advancements in this area have led to major revolutions in various application areas,
especially mass advertisements. It has long been evident that privacy of personal information, in this
case location of the user, is rather a touchy subject with most people. This paper explores the Location
Privacy issue in location aware computing. Vertical fragmentation of the stored location information of
users has been proposed as an effective solution for this issue.
Ambient intelligence (AmI) refers to electronic environments that are sensitive and responsive to human presence. AmI aims to support users by having devices work together to automatically meet users' needs through context awareness and personalized interactions. Key technologies that enable AmI include ubiquitous computing, ubiquitous communication, and intelligent user interfaces to create a seamless experience between users and their digitally augmented surroundings. While AmI offers benefits like increased convenience, control, and efficiency, open challenges remain regarding privacy, security, complexity of modeling multiple users, and ensuring reliability of networked devices.
This document discusses security threats and techniques in wireless sensor networks. It begins by describing wireless sensor networks and their components like sensor nodes. It then discusses some applications of wireless sensor networks such as in military, environment monitoring, healthcare, and robotics. The document outlines several common network attacks on wireless sensor networks including spoofed or altered routing information, selective forwarding, Sybil attacks, denial of service attacks, sinkhole/blackhole attacks, and wormhole attacks. It explains how traditional security mechanisms can detect some internal attacks but fail against compromised nodes. The document introduces trust and reputation techniques as alternatives to overcome issues with compromised nodes.
A review of privacy preserving techniques in wireless sensor networkAlexander Decker
1. This document reviews privacy preserving techniques in wireless sensor networks. It discusses challenges to privacy in WSNs including data privacy, location privacy, and network privacy.
2. Wireless sensor networks face unique challenges to privacy preservation due to their constrained environment, limited sensor resources, and multi-hop network topology. This makes existing privacy techniques difficult to apply directly to WSNs.
3. The document surveys several techniques that have been proposed for preserving different types of privacy in WSNs, including location privacy, data privacy during aggregation, and preventing traffic analysis attacks on network privacy. More research is still needed to address open problems in privacy for WSNs.
This document discusses wireless micro-sensor network models and classifies them according to communication functions, data delivery models, and network dynamics. It describes four data delivery models for sensor networks: continuous, event-driven, observer-initiated, and hybrid. The continuous model involves sensors communicating data continuously at a pre-specified rate. This taxonomy framework can help network designers choose appropriate communication protocols for different sensor network applications. The classifications are meant to aid in defining communication infrastructure and selecting protocol architectures matched to specific application requirements.
Similar to User Controlled Privacy in Participatory Sensing (20)
Artificial Intelligence Technique based Reactive Power Planning Incorporating...IDES Editor
This document summarizes a research paper that proposes using artificial intelligence techniques and FACTS controllers for reactive power planning in real-time power transmission systems. The paper formulates the reactive power planning problem and incorporates flexible AC transmission system (FACTS) devices like static VAR compensators (SVC), thyristor controlled series capacitors (TCSC), and unified power flow controllers (UPFC). Evolutionary algorithms like evolutionary programming (EP) and differential evolution (DE) are applied to find the optimal locations and settings of the FACTS controllers to minimize losses and costs. Simulation results on IEEE 30-bus and 72-bus Indian test systems show that UPFC performs best in reducing losses compared to SVC and TCSC.
Line Losses in the 14-Bus Power System Network using UPFCIDES Editor
Controlling power flow in modern power systems
can be made more flexible by the use of recent developments
in power electronic and computing control technology. The
Unified Power Flow Controller (UPFC) is a Flexible AC
transmission system (FACTS) device that can control all the
three system variables namely line reactance, magnitude and
phase angle difference of voltage across the line. The UPFC
provides a promising means to control power flow in modern
power systems. Essentially the performance depends on proper
control setting achievable through a power flow analysis
program. This paper presents a reliable method to meet the
requirements by developing a Newton-Raphson based load
flow calculation through which control settings of UPFC can
be determined for the pre-specified power flow between the
lines. The proposed method keeps Newton-Raphson Load Flow
(NRLF) algorithm intact and needs (little modification in the
Jacobian matrix). A MATLAB program has been developed to
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between the lines after the load flow is converged. Case studies
have been performed on IEEE 5-bus system and 14-bus system
to show that the proposed method is effective. These studies
indicate that the method maintains the basic NRLF properties
such as fast computational speed, high degree of accuracy and
good convergence rate.
Study of Structural Behaviour of Gravity Dam with Various Features of Gallery...IDES Editor
The size and shape of opening in dam causes the
stress concentration, it also causes the stress variation in the
rest of the dam cross section. The gravity method of the analysis
does not consider the size of opening and the elastic property
of dam material. Thus the objective of study is comprises of
the Finite Element Method which considers the size of
opening, elastic property of material, and stress distribution
because of geometric discontinuity in cross section of dam.
Stress concentration inside the dam increases with the opening
in dam which results in the failure of dam. Hence it is
necessary to analyses large opening inside the dam. By making
the percentage area of opening constant and varying size and
shape of opening the analysis is carried out. For this purpose
a section of Koyna Dam is considered. Dam is defined as a
plane strain element in FEM, based on geometry and loading
condition. Thus this available information specified our path
of approach to carry out 2D plane strain analysis. The results
obtained are then compared mutually to get most efficient
way of providing large opening in the gravity dam.
Assessing Uncertainty of Pushover Analysis to Geometric ModelingIDES Editor
Pushover Analysis a popular tool for seismic
performance evaluation of existing and new structures and is
nonlinear Static procedure where in monotonically increasing
loads are applied to the structure till the structure is unable
to resist the further load .During the analysis, whatever the
strength of concrete and steel is adopted for analysis of
structure may not be the same when real structure is
constructed and the pushover analysis results are very sensitive
to material model adopted, geometric model adopted, location
of plastic hinges and in general to procedure followed by the
analyzer. In this paper attempt has been made to assess
uncertainty in pushover analysis results by considering user
defined hinges and frame modeled as bare frame and frame
with slab modeled as rigid diaphragm and results compared
with experimental observations. Uncertain parameters
considered includes the strength of concrete, strength of steel
and cover to the reinforcement which are randomly generated
and incorporated into the analysis. The results are then
compared with experimental observations.
Secure Multi-Party Negotiation: An Analysis for Electronic Payments in Mobile...IDES Editor
This document summarizes and analyzes secure multi-party negotiation protocols for electronic payments in mobile computing. It presents a framework for secure multi-party decision protocols using lightweight implementations. The main focus is on synchronizing security features to avoid agreement manipulation and reduce user traffic. The paper describes negotiation between an auctioneer and bidders, showing multiparty security is better than existing systems. It analyzes the performance of encryption algorithms like ECC, XTR, and RSA for use in the multiparty negotiation protocols.
Selfish Node Isolation & Incentivation using Progressive ThresholdsIDES Editor
The problems associated with selfish nodes in
MANET are addressed by a collaborative watchdog approach
which reduces the detection time for selfish nodes thereby
improves the performance and accuracy of watchdogs[1]. In
the related works they make use of credit based systems, reputation
based mechanisms, pathrater and watchdog mechanism
to detect such selfish nodes. In this paper we follow an approach
of collaborative watchdog which reduces the detection
time for selfish nodes and also involves the removal of such
selfish nodes based on some progressively assessed thresholds.
The threshold gives the nodes a chance to stop misbehaving
before it is permanently deleted from the network.
The node passes through several isolation processes before it
is permanently removed. Another version of AODV protocol
is used here which allows the simulation of selfish nodes in
NS2 by adding or modifying log files in the protocol.
Various OSI Layer Attacks and Countermeasure to Enhance the Performance of WS...IDES Editor
Wireless sensor networks are networks having non
wired infrastructure and dynamic topology. In OSI model each
layer is prone to various attacks, which halts the performance
of a network .In this paper several attacks on four layers of
OSI model are discussed and security mechanism is described
to prevent attack in network layer i.e wormhole attack. In
Wormhole attack two or more malicious nodes makes a covert
channel which attracts the traffic towards itself by depicting a
low latency link and then start dropping and replaying packets
in the multi-path route. This paper proposes promiscuous mode
method to detect and isolate the malicious node during
wormhole attack by using Ad-hoc on demand distance vector
routing protocol (AODV) with omnidirectional antenna. The
methodology implemented notifies that the nodes which are
not participating in multi-path routing generates an alarm
message during delay and then detects and isolate the
malicious node from network. We also notice that not only
the same kind of attacks but also the same kind of
countermeasures can appear in multiple layer. For example,
misbehavior detection techniques can be applied to almost all
the layers we discussed.
Responsive Parameter based an AntiWorm Approach to Prevent Wormhole Attack in...IDES Editor
The recent advancements in the wireless technology
and their wide-spread deployment have made remarkable
enhancements in efficiency in the corporate and industrial
and Military sectors The increasing popularity and usage of
wireless technology is creating a need for more secure wireless
Ad hoc networks. This paper aims researched and developed
a new protocol that prevents wormhole attacks on a ad hoc
network. A few existing protocols detect wormhole attacks but
they require highly specialized equipment not found on most
wireless devices. This paper aims to develop a defense against
wormhole attacks as an Anti-worm protocol which is based on
responsive parameters, that does not require as a significant
amount of specialized equipment, trick clock synchronization,
no GPS dependencies.
Cloud Security and Data Integrity with Client Accountability FrameworkIDES Editor
This document summarizes a proposed cloud security and data integrity framework that provides client accountability. The framework aims to address issues like lack of user control over cloud data, need for data transparency and tracking, and ensuring data integrity. It proposes using JAR (Java Archive) files for data sharing due to benefits like portability. The framework incorporates client-side verification using MD5 hashing, digital signature-based authentication of JAR files, and use of HMAC to ensure data integrity. It also uses password-based encryption of log files to keep them tamper-proof. The framework is intended to provide both accountability and security for data sharing in cloud environments.
Genetic Algorithm based Layered Detection and Defense of HTTP BotnetIDES Editor
A System state in HTTP botnet uses HTTP protocol
for the creation of chain of Botnets thereby compromising
other systems. By using HTTP protocol and port number 80,
attacks can not only be hidden but also pass through the
firewall without being detected. The DPR based detection
leads to better analysis of botnet attacks [3]. However, it
provides only probabilistic detection of the attacker and also
time consuming and error prone. This paper proposes a Genetic
algorithm based layered approach for detecting as well as
preventing botnet attacks. The paper reviews p2p firewall
implementation which forms the basis of filtering.
Performance evaluation is done based on precision, F-value
and probability. Layered approach reduces the computation
and overall time requirement [7]. Genetic algorithm promises
a low false positive rate.
Enhancing Data Storage Security in Cloud Computing Through SteganographyIDES Editor
This document summarizes a research paper that proposes a method for enhancing data security in cloud computing through steganography. The method hides user data in digital images stored on cloud servers. When data needs to be accessed, it is extracted from the images. The document outlines the cloud architecture and security issues addressed. It then describes the proposed system architecture, security model, and data storage and retrieval process. Data is partitioned and hidden in multiple images to improve security. The goal is to prevent unauthorized access to user data stored on cloud servers.
The main tasks of a Wireless Sensor Network
(WSN) are data collection from its nodes and communication
of this data to the base station (BS). The protocols used for
communication among the WSN nodes and between the WSN
and the BS, must consider the resource constraints of nodes,
battery energy, computational capabilities and memory. The
WSN applications involve unattended operation of the network
over an extended period of time. In order to extend the lifetime
of a WSN, efficient routing protocols need to be adopted. The
proposed low power routing protocol based on tree-based
network structure reliably forwards the measured data towards
the BS using TDMA. An energy consumption analysis of the
WSN making use of this protocol is also carried out. It is
found that the network is energy efficient with an average
duty cycle of 0:7% for the WSN nodes. The OmNET++
simulation platform along with MiXiM framework is made
use of.
Permutation of Pixels within the Shares of Visual Cryptography using KBRP for...IDES Editor
The security of authentication of internet based
co-banking services should not be susceptible to high risks.
The passwords are highly vulnerable to virus attacks due to
the lack of high end embedding of security methods. In order
for the passwords to be more secure, people are generally
compelled to select jumbled up character based passwords
which are not only less memorable but are also equally prone
to insecurity. Multiple use of distributed shares has been
studied to solve the problem of authentication by algorithms
based on thresholding of pixels in image processing and visual
cryptography concepts where the subset of shares is considered
for the recovery of the original image for authentication using
correlation function[1][2].The main disadvantage in the above
study is the plain storage of shares and also one of the shares
is being supplied to the customer, which will lead to the
possibility of misuse by a third party. This paper proposes a
technique for scrambling of pixels by key based random
permutation (KBRP) within the shares before the
authentication has been attempted. Total number of shares to
be created is dependent on the multiplicity of ownership of
the account. By this method the problem of uncertainty among
the customers with regard to security, storage, retrieval of
holding of half of the shares is minimized.
This paper presents a trifocal Rotman Lens Design
approach. The effects of focal ratio and element spacing on
the performance of Rotman Lens are described. A three beam
prototype feeding 4 element antenna array working in L-band
has been simulated using RLD v1.7 software. Simulated
results show that the simulated lens has a return loss of –
12.4dB at 1.8GHz. Beam to array port phase error variation
with change in the focal ratio and element spacing has also
been investigated.
Band Clustering for the Lossless Compression of AVIRIS Hyperspectral ImagesIDES Editor
Hyperspectral images can be efficiently compressed
through a linear predictive model, as for example the one
used in the SLSQ algorithm. In this paper we exploit this
predictive model on the AVIRIS images by individuating,
through an off-line approach, a common subset of bands, which
are not spectrally related with any other bands. These bands
are not useful as prediction reference for the SLSQ 3-D
predictive model and we need to encode them via other
prediction strategies which consider only spatial correlation.
We have obtained this subset by clustering the AVIRIS bands
via the clustering by compression approach. The main result
of this paper is the list of the bands, not related with the
others, for AVIRIS images. The clustering trees obtained for
AVIRIS and the relationship among bands they depict is also
an interesting starting point for future research.
Microelectronic Circuit Analogous to Hydrogen Bonding Network in Active Site ...IDES Editor
A microelectronic circuit of block-elements
functionally analogous to two hydrogen bonding networks is
investigated. The hydrogen bonding networks are extracted
from â-lactamase protein and are formed in its active site.
Each hydrogen bond of the network is described in equivalent
electrical circuit by three or four-terminal block-element.
Each block-element is coded in Matlab. Static and dynamic
analyses are performed. The resultant microelectronic circuit
analogous to the hydrogen bonding network operates as
current mirror, sine pulse source, triangular pulse source as
well as signal modulator.
Texture Unit based Monocular Real-world Scene Classification using SOM and KN...IDES Editor
In this paper a method is proposed to discriminate
real world scenes in to natural and manmade scenes of similar
depth. Global-roughness of a scene image varies as a function
of image-depth. Increase in image depth leads to increase in
roughness in manmade scenes; on the contrary natural scenes
exhibit smooth behavior at higher image depth. This particular
arrangement of pixels in scene structure can be well explained
by local texture information in a pixel and its neighborhood.
Our proposed method analyses local texture information of a
scene image using texture unit matrix. For final classification
we have used both supervised and unsupervised learning using
K-Nearest Neighbor classifier (KNN) and Self Organizing
Map (SOM) respectively. This technique is useful for online
classification due to very less computational complexity.
Mental Stress Evaluation using an Adaptive ModelIDES Editor
Chronic stress can have serious physiological and
psychological impact on an individual’s health. Wearable
sensor systems can enable physicians to monitor physiological
variables and observe the impact of stress over long periods of
time. To correlate an individual’s physiological measures with
their perception of psychological stress, it is essential that
the stress monitoring system accounts for individual
differences in self-reporting. Self-reporting of stress is highly
subjective as it is dependent on an individual’s perception of
stress and thus prone to errors. In addition, subjects can tailor
their answers to present their behavior more favorably. In
this paper we present an adaptive model which allows recorded
stress scores and physiological variables to be tuned to remove
biases in self-reported scores. The model takes an individual’s
physiological and psychological responses into account and
adapts to the user’s variations. Using our adaptive model,
physiological data is mapped efficiently to perceived stress
levels with 90% accuracy.
Genetic Algorithm based Mosaic Image Steganography for Enhanced SecurityIDES Editor
The document summarizes previous work on mosaic image steganography and proposes using genetic algorithms and key-based random permutation to improve the technique. Mosaic image steganography hides a secret image by dividing it into fragments and embedding the fragments into a target image to create a mosaic. Previous methods required a large database of images or allowed only arbitrary target image selection. The proposed method uses genetic algorithms to generate a mapping sequence for embedding tile images without a database, improving clarity and reducing computational complexity. It also applies a key-based random permutation to the mapping sequence for enhanced security and robustness. The mosaic image can be recovered using the same key and mapping sequence, making it a lossless data hiding method.
3-D FFT Moving Object Signatures for Velocity FilteringIDES Editor
In this paper a bank of velocity filters is devised to
be used for isolating a moving object with specific velocity
(amplitude and direction) in a sequence of frames. The
approach used is a 3-D FFT based experimental procedure
without applying any theoretical concept from velocity filters.
Accordingly, each velocity filter is built using the spectral
signature of an object moving with specific velocity.
Experimentation reveals the capabilities of the constructed
filter bank to separate moving objects as far as the amplitude
as well as the direction of the velocity are concerned.
Accordingly, weak objects can be detected when moving with
different velocity close to strong vehicles. Accelerating objects
can be detected only on the part of their trajectory they have
the specific velocity. Problems which arise due to the
discontinuities at the edges of the frame sequences are
discussed.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
“An Outlook of the Ongoing and Future Relationship between Blockchain Technologies and Process-aware Information Systems.” Invited talk at the joint workshop on Blockchain for Information Systems (BC4IS) and Blockchain for Trusted Data Sharing (B4TDS), co-located with with the 36th International Conference on Advanced Information Systems Engineering (CAiSE), 3 June 2024, Limassol, Cyprus.
How to Get CNIC Information System with Paksim Ga.pptxdanishmna97
Pakdata Cf is a groundbreaking system designed to streamline and facilitate access to CNIC information. This innovative platform leverages advanced technology to provide users with efficient and secure access to their CNIC details.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Dr. Sean Tan, Head of Data Science, Changi Airport Group
Discover how Changi Airport Group (CAG) leverages graph technologies and generative AI to revolutionize their search capabilities. This session delves into the unique search needs of CAG’s diverse passengers and customers, showcasing how graph data structures enhance the accuracy and relevance of AI-generated search results, mitigating the risk of “hallucinations” and improving the overall customer journey.
LF Energy Webinar: Electrical Grid Modelling and Simulation Through PowSyBl -...DanBrown980551
Do you want to learn how to model and simulate an electrical network from scratch in under an hour?
Then welcome to this PowSyBl workshop, hosted by Rte, the French Transmission System Operator (TSO)!
During the webinar, you will discover the PowSyBl ecosystem as well as handle and study an electrical network through an interactive Python notebook.
PowSyBl is an open source project hosted by LF Energy, which offers a comprehensive set of features for electrical grid modelling and simulation. Among other advanced features, PowSyBl provides:
- A fully editable and extendable library for grid component modelling;
- Visualization tools to display your network;
- Grid simulation tools, such as power flows, security analyses (with or without remedial actions) and sensitivity analyses;
The framework is mostly written in Java, with a Python binding so that Python developers can access PowSyBl functionalities as well.
What you will learn during the webinar:
- For beginners: discover PowSyBl's functionalities through a quick general presentation and the notebook, without needing any expert coding skills;
- For advanced developers: master the skills to efficiently apply PowSyBl functionalities to your real-world scenarios.
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
UiPath Test Automation using UiPath Test Suite series, part 5DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 5. In this session, we will cover CI/CD with devops.
Topics covered:
CI/CD with in UiPath
End-to-end overview of CI/CD pipeline with Azure devops
Speaker:
Lyndsey Byblow, Test Suite Sales Engineer @ UiPath, Inc.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!