This presentation aims to create awareness for IoT device makers on the various aspects they might encounter with their products. Security challenges which need to be addressed are listed to try to guide developers along the right path.
The document discusses the need for data analysis closer to IoT devices due to increasing data volumes, variety of connected objects, and efficiency needs. It outlines requirements like minimizing latency, conserving network bandwidth, and increasing local efficiency. It then describes challenges with IoT systems like limited bandwidth, high latency, unreliable backhaul links, high data volumes, and issues with analyzing all data in the cloud. The document introduces fog computing as a solution, noting its key characteristics include low latency processing near IoT endpoints, geographic distribution, deployment near large numbers of wireless IoT devices, and use for real-time interactions through preprocessing of data. Finally, it states that fog nodes are naturally located in network devices closest to IoT endpoints throughout a
The document discusses security issues that arise from using fog computing in internet of things (IoT) systems. It begins with introducing cloud computing, IoT, and fog computing. Fog computing provides benefits over cloud by acting as an intermediate layer between IoT devices and cloud to reduce latency. However, fog introduces new security threats including man-in-the-middle attacks, malicious fog nodes, and privacy issues. The document examines existing security technologies that could help address these threats and proposes that future work develop systems to efficiently analyze logs from fog environments.
This document provides a high-level overview of protocols for the Internet of Things (IoT). It discusses some of the key challenges for IoT including scalability, configurability, interoperability, discovery, and security. It then reviews several common IoT protocols, including HTTP, WebSockets, MQTT, CoAP, and mentions others like AMQP and XMPP. For each protocol, it summarizes their purpose, model (e.g. publish-subscribe vs client-server), efficiency considerations, and role in the protocol stack. It emphasizes that existing protocols like MQTT and CoAP are preferable to reinventing the wheel for IoT.
IoT is an interconnectivity paradigm that aspires to connect everything in order to give a seamless user experience. Starting with end consumer, there are plenty of use cases for IoT solutions. Before building an end-to-end IoT solution, it is important for you to build an architectural understanding. This introductory module on IoT is aimed to provide you the necessary foundations like architecture to get you started. Added to that, this module also covers IoT workflow setup in some popular cloud platforms like AWS and non-functional considerations like performance and security.
This document discusses IoT networking and quality of service (QoS) for IoT networks. It begins by describing the characteristics of IoT devices such as low processing power, small size, and energy constraints. It then discusses enabling the classical Internet for IoT devices through standards developed by the IETF, including 6LoWPAN, ROLL, and CoRE. CoRE provides a framework for IoT applications and services discovery. The document concludes by examining policies for QoS in IoT networks to guarantee intended service, covering resource utilization, data timeliness, availability, and delivery.
The document outlines a plan for presenting on the topic of the Internet of Things (IoT). It begins with defining IoT as the network of physical objects embedded with sensors that can collect and exchange data over existing network infrastructure. It then lists the following key points that will be covered in the presentation: how IoT works by leveraging technologies like RFID, sensors, and embedded processing; the current status and future prospects of IoT; how IoT can help turn data into wisdom through knowledge management; potential applications of IoT in various industries; technological challenges facing IoT development; and criticisms around privacy, security, and control issues with a ubiquitous IoT network.
IoT Security: Problems, Challenges and SolutionsLiwei Ren任力偉
As a novel computing platform in network, IoT will bring many security challenges to enterprise networks, and create new opportunities for security industry. This talk will provide a general overview of enterprise network security problems, especially the data security, caused by IoT. After that, a few existing security technologies are evaluated as necessary elements of a holistic network security that cover IoT devices. These technologies include : (a) IoT security monitoring and control; (b) FOTA for firmware vulnerability management; (c) NetFlow based big data security analysis. In the end, the practice of standard security protocols (such as OpenIoC and IODEF) will be strongly advocated for delivering effective IoT security solutions.
The document discusses the need for data analysis closer to IoT devices due to increasing data volumes, variety of connected objects, and efficiency needs. It outlines requirements like minimizing latency, conserving network bandwidth, and increasing local efficiency. It then describes challenges with IoT systems like limited bandwidth, high latency, unreliable backhaul links, high data volumes, and issues with analyzing all data in the cloud. The document introduces fog computing as a solution, noting its key characteristics include low latency processing near IoT endpoints, geographic distribution, deployment near large numbers of wireless IoT devices, and use for real-time interactions through preprocessing of data. Finally, it states that fog nodes are naturally located in network devices closest to IoT endpoints throughout a
The document discusses security issues that arise from using fog computing in internet of things (IoT) systems. It begins with introducing cloud computing, IoT, and fog computing. Fog computing provides benefits over cloud by acting as an intermediate layer between IoT devices and cloud to reduce latency. However, fog introduces new security threats including man-in-the-middle attacks, malicious fog nodes, and privacy issues. The document examines existing security technologies that could help address these threats and proposes that future work develop systems to efficiently analyze logs from fog environments.
This document provides a high-level overview of protocols for the Internet of Things (IoT). It discusses some of the key challenges for IoT including scalability, configurability, interoperability, discovery, and security. It then reviews several common IoT protocols, including HTTP, WebSockets, MQTT, CoAP, and mentions others like AMQP and XMPP. For each protocol, it summarizes their purpose, model (e.g. publish-subscribe vs client-server), efficiency considerations, and role in the protocol stack. It emphasizes that existing protocols like MQTT and CoAP are preferable to reinventing the wheel for IoT.
IoT is an interconnectivity paradigm that aspires to connect everything in order to give a seamless user experience. Starting with end consumer, there are plenty of use cases for IoT solutions. Before building an end-to-end IoT solution, it is important for you to build an architectural understanding. This introductory module on IoT is aimed to provide you the necessary foundations like architecture to get you started. Added to that, this module also covers IoT workflow setup in some popular cloud platforms like AWS and non-functional considerations like performance and security.
This document discusses IoT networking and quality of service (QoS) for IoT networks. It begins by describing the characteristics of IoT devices such as low processing power, small size, and energy constraints. It then discusses enabling the classical Internet for IoT devices through standards developed by the IETF, including 6LoWPAN, ROLL, and CoRE. CoRE provides a framework for IoT applications and services discovery. The document concludes by examining policies for QoS in IoT networks to guarantee intended service, covering resource utilization, data timeliness, availability, and delivery.
The document outlines a plan for presenting on the topic of the Internet of Things (IoT). It begins with defining IoT as the network of physical objects embedded with sensors that can collect and exchange data over existing network infrastructure. It then lists the following key points that will be covered in the presentation: how IoT works by leveraging technologies like RFID, sensors, and embedded processing; the current status and future prospects of IoT; how IoT can help turn data into wisdom through knowledge management; potential applications of IoT in various industries; technological challenges facing IoT development; and criticisms around privacy, security, and control issues with a ubiquitous IoT network.
IoT Security: Problems, Challenges and SolutionsLiwei Ren任力偉
As a novel computing platform in network, IoT will bring many security challenges to enterprise networks, and create new opportunities for security industry. This talk will provide a general overview of enterprise network security problems, especially the data security, caused by IoT. After that, a few existing security technologies are evaluated as necessary elements of a holistic network security that cover IoT devices. These technologies include : (a) IoT security monitoring and control; (b) FOTA for firmware vulnerability management; (c) NetFlow based big data security analysis. In the end, the practice of standard security protocols (such as OpenIoC and IODEF) will be strongly advocated for delivering effective IoT security solutions.
This document discusses the logical design and building blocks of IoT systems. It describes the key functional blocks that provide identification, sensing, actuation, communication, and management capabilities. These include hardware components, IoT networking using various wireless standards, communication protocols like MQTT for messaging, and higher layer protocols. Challenges in IoT like interoperability, security, scalability, and data issues are also summarized. Finally, examples of IoT applications like connected cars, health, farms and smart grids are provided.
The document provides an introduction to IoT including definitions, characteristics, genesis, applications and challenges. It describes the physical design of IoT including IoT devices, protocols, and the generic block diagram of an IoT device. It also describes the logical design including IoT functional blocks, communication models like publish-subscribe, request-response, levels of IoT deployment from level 1 to 6, and enabling technologies.
The document provides an introduction to IoT and discusses its impact. It defines IoT as connecting physical objects to the internet so they can communicate and interact. This allows improvements in efficiency, accuracy and automation. The document estimates that the number of connected devices will grow from 14 billion in 2017 to 50 billion by 2020. IoT will fundamentally shift how people and businesses interact with their environment by enabling data-driven decision making and new services. Examples of IoT impact discussed include connected roadways which will allow self-driving vehicles to better interact with transportation infrastructure through data exchange.
Blockchain in IoT and Other Considerations by Dinis GuardaDinis Guarda
Blockchain in IOT And other considerations:
IoT, Business Strategy, Tech, Security and Blockchain as a foundation tech
How to manage IoT / Blockchain for business strategy, technical set up, security, plus blockchain
The natural tech evolution marriage that has yet to properly consummate?
Why IOT products may not live up to their promise and how to overcome these to build successful IoT / Blockchain products.
This document provides an overview of 5G technology, including its objectives and architecture. 5G is expected to offer data rates over 1 Gbps, support for high capacity and numbers of connections, and new capabilities like integrated access across cell towers and WiFi. It will require integration across standards and a common infrastructure platform. Challenges include integrating various standards and ensuring high redundancy across the core network. 5G networks are expected to launch around 2020 and enable new applications requiring high bandwidth and low latency.
The document discusses the key features and architecture of the Internet of Things (IoT). It describes IoT as connecting physical devices through sensors and software to collect and exchange data over networks. The key features discussed are artificial intelligence, interconnectivity, distributed processing, heterogeneity, interoperability, scalability, security, and dynamic changes. The basic IoT architecture includes sensor networks, gateways, and communication technologies to connect devices. Sensor networks gather data from various sensors, while gateways act as an interface between sensor networks and cloud/application services. Common wireless technologies enabling IoT device connectivity include RFID, WLAN, and short-range wireless protocols.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someone’s documents in a Cloud service. Decoy documents stored in the Cloud alongside the user’s real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the user’s real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
GI-FI (Gigabit Fidelity) or Giga bit wireless refers to wireless communication at a data rate of more than one billion bits (gigabits) per second. GI-FI offers some advantages over WI-FI, a similar wireless technology. In that it offers faster information rate in GBPS, less power consumption and low cost for short range transmission as compare to current technology. GI-FI consists of a chip which has facility to deliver short-range multi gigabit data transfer in a local environment and compared to other technologies in the market it is ten times faster. GI-FI has the data transfer speed up to 5 GBPS within a short-range of 10 metres. It operates in 60 GHZ frequency band. GI-FI is developed on an integrated wireless transceiver chip. It has both transmitter and receiver, integrated on a single chip which is fabricated using the CMOS (complementary metal oxide semiconductor) process and it also consists of a small antenna. GI-FI allows transferring large videos, audio files, data files etc. within few seconds.
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
ZigBee is a wireless networking standard used for control and sensor applications that requires low data rates, low power consumption, and secure networking. It is based on the IEEE 802.15.4 standard and allows for up to 65,000 nodes to connect in a mesh network topology. ZigBee operates in the 2.4GHz, 868MHz, and 915MHz frequency bands and is designed for use in personal area networks for applications like home automation, lighting control, and wireless sensor networks. Research is ongoing to expand ZigBee's uses in fields like wireless communications and neuroengineering.
The document discusses fundamentals of IoT security. It defines IoT as the interconnection of physical devices to the internet to share and exchange data. IoT security protects connected devices from cyberattacks by securing the network functionality and data privacy. The need for IoT security increased after hacking attacks showed catastrophic consequences. The document outlines eight principles of IoT security including no universal passwords, secured interfaces, proven cryptography, security by default, signed software updates, and a vulnerability reporting scheme.
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
Internet of things are exploding. This whitepaper would help product developers to understand the Security and Privacy issues, their impact and a recommendation for embedding the best practices during PDLC.
Fog computing is a model that processes data closer to IoT devices rather than in the cloud. It addresses the limitations of cloud like high latency and bandwidth issues. Fog extends cloud services by providing computation, storage and applications at the edge of the network. Key applications of fog include connected vehicles, smart grids, smart buildings and healthcare. Fog computing supports mobility, location awareness, low latency and real-time interactions between heterogeneous edge devices and sensors.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
The document discusses the importance of IoT security training. It outlines topics covered in IoT security courses such as device vulnerabilities, authentication, encryption, and privacy enhancements. Software attacks pose serious risks by exploiting entire systems. IoT security training teaches principles of security, attack areas, vulnerabilities, and how to assess devices' security. The document promotes an IoT security training course and workshop from Tonex that has helped over 20,000 professionals globally.
A reference architecture for the internet of thingsCharles Gibbons
The document proposes a reference architecture for the Internet of Things (IoT). It consists of distributed devices that communicate using various protocols. These devices are supported by a distributed service layer that provides functions like messaging, data transformation and protocol support. This service layer connects to business support systems providing capabilities like fulfilment, assurance and billing. The architecture supports various channels for device management and integration with identity management systems.
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles between cloud, APIs and native hardware/software configurations.
This document discusses the logical design and building blocks of IoT systems. It describes the key functional blocks that provide identification, sensing, actuation, communication, and management capabilities. These include hardware components, IoT networking using various wireless standards, communication protocols like MQTT for messaging, and higher layer protocols. Challenges in IoT like interoperability, security, scalability, and data issues are also summarized. Finally, examples of IoT applications like connected cars, health, farms and smart grids are provided.
The document provides an introduction to IoT including definitions, characteristics, genesis, applications and challenges. It describes the physical design of IoT including IoT devices, protocols, and the generic block diagram of an IoT device. It also describes the logical design including IoT functional blocks, communication models like publish-subscribe, request-response, levels of IoT deployment from level 1 to 6, and enabling technologies.
The document provides an introduction to IoT and discusses its impact. It defines IoT as connecting physical objects to the internet so they can communicate and interact. This allows improvements in efficiency, accuracy and automation. The document estimates that the number of connected devices will grow from 14 billion in 2017 to 50 billion by 2020. IoT will fundamentally shift how people and businesses interact with their environment by enabling data-driven decision making and new services. Examples of IoT impact discussed include connected roadways which will allow self-driving vehicles to better interact with transportation infrastructure through data exchange.
Blockchain in IoT and Other Considerations by Dinis GuardaDinis Guarda
Blockchain in IOT And other considerations:
IoT, Business Strategy, Tech, Security and Blockchain as a foundation tech
How to manage IoT / Blockchain for business strategy, technical set up, security, plus blockchain
The natural tech evolution marriage that has yet to properly consummate?
Why IOT products may not live up to their promise and how to overcome these to build successful IoT / Blockchain products.
This document provides an overview of 5G technology, including its objectives and architecture. 5G is expected to offer data rates over 1 Gbps, support for high capacity and numbers of connections, and new capabilities like integrated access across cell towers and WiFi. It will require integration across standards and a common infrastructure platform. Challenges include integrating various standards and ensuring high redundancy across the core network. 5G networks are expected to launch around 2020 and enable new applications requiring high bandwidth and low latency.
The document discusses the key features and architecture of the Internet of Things (IoT). It describes IoT as connecting physical devices through sensors and software to collect and exchange data over networks. The key features discussed are artificial intelligence, interconnectivity, distributed processing, heterogeneity, interoperability, scalability, security, and dynamic changes. The basic IoT architecture includes sensor networks, gateways, and communication technologies to connect devices. Sensor networks gather data from various sensors, while gateways act as an interface between sensor networks and cloud/application services. Common wireless technologies enabling IoT device connectivity include RFID, WLAN, and short-range wireless protocols.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider.
For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
CONCLUSION
This proposal of monitoring data access patterns by profiling user behavior to determine if and when a malicious insider illegitimately accesses someone’s documents in a Cloud service. Decoy documents stored in the Cloud alongside the user’s real data also serve as sensors to detect illegitimate access. Once unauthorized data access or exposure is suspected, and later verified, with challenge questions for instance, this inundate the malicious insider with bogus information in order to dilute the user’s real data. Such preventive attacks that rely on disinformation technology could provide unprecedented levels of security in the Cloud and in social networks.
GI-FI (Gigabit Fidelity) or Giga bit wireless refers to wireless communication at a data rate of more than one billion bits (gigabits) per second. GI-FI offers some advantages over WI-FI, a similar wireless technology. In that it offers faster information rate in GBPS, less power consumption and low cost for short range transmission as compare to current technology. GI-FI consists of a chip which has facility to deliver short-range multi gigabit data transfer in a local environment and compared to other technologies in the market it is ten times faster. GI-FI has the data transfer speed up to 5 GBPS within a short-range of 10 metres. It operates in 60 GHZ frequency band. GI-FI is developed on an integrated wireless transceiver chip. It has both transmitter and receiver, integrated on a single chip which is fabricated using the CMOS (complementary metal oxide semiconductor) process and it also consists of a small antenna. GI-FI allows transferring large videos, audio files, data files etc. within few seconds.
The internet of things (IoT) is the internetworking of physical devices, vehicles, buildings and other items—embedded with electronics, software, sensors, actuators, and network connectivity that enable these objects to collect and exchange data.
ZigBee is a wireless networking standard used for control and sensor applications that requires low data rates, low power consumption, and secure networking. It is based on the IEEE 802.15.4 standard and allows for up to 65,000 nodes to connect in a mesh network topology. ZigBee operates in the 2.4GHz, 868MHz, and 915MHz frequency bands and is designed for use in personal area networks for applications like home automation, lighting control, and wireless sensor networks. Research is ongoing to expand ZigBee's uses in fields like wireless communications and neuroengineering.
The document discusses fundamentals of IoT security. It defines IoT as the interconnection of physical devices to the internet to share and exchange data. IoT security protects connected devices from cyberattacks by securing the network functionality and data privacy. The need for IoT security increased after hacking attacks showed catastrophic consequences. The document outlines eight principles of IoT security including no universal passwords, secured interfaces, proven cryptography, security by default, signed software updates, and a vulnerability reporting scheme.
The growth of embedded systems connecting to the Internet or "Internet of Things" (IoT) increases year by year. Thus, the IoT ecosystems become new targets of the attackers. This presentation will talk about the basic principle of information security, why we need to secure IoT ecosystems, and also the vulnerabilities and solutions from OWASP.
Internet of things are exploding. This whitepaper would help product developers to understand the Security and Privacy issues, their impact and a recommendation for embedding the best practices during PDLC.
Fog computing is a model that processes data closer to IoT devices rather than in the cloud. It addresses the limitations of cloud like high latency and bandwidth issues. Fog extends cloud services by providing computation, storage and applications at the edge of the network. Key applications of fog include connected vehicles, smart grids, smart buildings and healthcare. Fog computing supports mobility, location awareness, low latency and real-time interactions between heterogeneous edge devices and sensors.
ABSTRACT
Cloud computing promises to significantly change the way we use computers and access and store our personal and business information. With these new computing and communications paradigms arise new data security challenges. Existing data protection mechanisms such as encryption have failed in preventing data theft attacks, especially those perpetrated by an insider to the cloud provider. For securing user data from such attacks a new paradigm called fog computing can be used. Fog Computing is a paradigm that extends Cloud computing and services to the edge of the network. Similar to Cloud, Fog provides data, compute, storage, and application services to end-users. The motivation of Fog computing lies in a series of real scenarios, such as Smart Grid, smart traffic lights in vehicular networks and software defined network .This technique can monitor the user activity to identify the legitimacy and prevent from any unauthorized user access. Here we have discussed this paradigm for preventing misuse of user data and securing information.
The document discusses the importance of IoT security training. It outlines topics covered in IoT security courses such as device vulnerabilities, authentication, encryption, and privacy enhancements. Software attacks pose serious risks by exploiting entire systems. IoT security training teaches principles of security, attack areas, vulnerabilities, and how to assess devices' security. The document promotes an IoT security training course and workshop from Tonex that has helped over 20,000 professionals globally.
A reference architecture for the internet of thingsCharles Gibbons
The document proposes a reference architecture for the Internet of Things (IoT). It consists of distributed devices that communicate using various protocols. These devices are supported by a distributed service layer that provides functions like messaging, data transformation and protocol support. This service layer connects to business support systems providing capabilities like fulfilment, assurance and billing. The architecture supports various channels for device management and integration with identity management systems.
How do APIs and IoT relate? The answer is not as simple as merely adding an API on top of a dumb device, but rather about understanding the architectural patterns for implementing an IoT fabric. There are typically two or three trends:
Exposing the device to a management framework
Exposing that management framework to a business centric logic
Exposing that business layer and data to end users.
This last trend is the IoT stack, which involves a new shift in the separation of what stuff happens, where data lives and where the interface lies. For instance, it's a mix of architectural styles between cloud, APIs and native hardware/software configurations.
Patrick Letizia • Madison Avenue Securities, Inc.
- The role of gold: what is the optimal allocation? by David Varadi, Jerry Wagner, David Wismer
- What happens when the NASDAQ breaks its 200-day moving average?
- Actively managing 401(k)s (Paul Mauro, SII Investments)
Internet of Things and the Value of Tracking EverythingPaul Barsch
This presentation was given to an executive MBA session at UCSD in April 2016. The session reviewed big data, internet of things, and how companies are gaining value from location, sensor, manufacturing and other data to make better business decisions.
Dan Friedlander has over 44 years of experience at Israel Aerospace Industries (IAI) as the Head of Components Engineering. He has held leadership roles establishing standards and policies for electronic and electromechanical components. Notable achievements include pioneering the use of commercial components for both military and space projects. He has also represented IAI at numerous international conferences on topics such as components engineering, counterfeiting avoidance, and reliability.
New Framework for Improving Bigdata Analaysis Using Mobile AgentMohammed Adam
In So many Companies Using Hadoop for bigdata Analysis. So the Hadoop has some drawbacks. To Overcome the Drawbacks of Hadoop Introducing Mobile Agent Under JADE.
Manuscript Speech (Oral Communication Grade 11)stephanieluise
A manuscript speech is when a speaker writes out their entire speech and reads directly from the prepared text at a podium for the audience. It involves reading a pre-written speech word-for-word. Manuscript speeches are often used for official meetings, conferences, and commencement exercises where precision is important or complex information needs to be conveyed concisely. While it ensures accuracy, a manuscript speech runs the risk of becoming boring if not delivered engagingly.
Guide to IoT Projects and Architecture with Microsoft Cloud and AzureBarnaba Accardi
This document provides an overview of IoT project architectures and processes. It discusses common IoT initiatives by function and approval levels. It also summarizes typical project timelines and business objectives. Additionally, it outlines the key components of an IoT solution including device connectivity, analytics, and presentation layers. Finally, it provides examples of how IoT can benefit different industries.
As the internet changes our life, cloud of things will change our life again This new technology cloud of things Emerging the following technology(iot-cloud-5g-nano tech-Hci-context awareness-natural interaction) that change the concept from love things and use people to love people and use things •we all specially developing countries /Africa
must catch the cloud of everything (thing-people-process-data)train to address
the 17 SDG Goals but if any one miss it will no hope at all
•The cloud of things technology, helping elderly and handicapped people and holds the promise of fixing the millennium-old human problems of poverty, disease, violence, and poor leadership in Africa and all the world
At a time when all the world are worried about the fast spreading Zika virus, it is figured out that a wearable device could be an effective tool for preventing it, "You can compute the genome of a human being in less than seven days," "One day we will have the genome sequence of all our patients and we are then in the position to compare [that] data on a regular base with reference data."
This allows clinicians to easily identify defects in the genome and can also be used to compute the chance that someone will get a type of cancer
. A true success comes when you help others be successful leaders create leader not followers. s. It is estimated that approximately 50 billion things will be connected to each other through the communication network by 2020. A massive set of data will be created
Or by 2030 for Africa…it will be good for 10 years difference so we can fix all Africa and developing countries problems in 2030 for developed countries in 2020
The IOT will create new services based on real-time physical world data and will transform businesses, industries, and the daily life of people. Smart cities (connected communities), smart planet (green environment), smart building (building, smart homes), smart industry (industrial environment), smart energy (electric grid), smart transport (intelligent transport system), smart living (entertainment, leisure), smart health (health care system) are examples of the Internet of things.
a true success comes when you help others be successful and this true success comes in case of universal adoption of cloud of things in Africa and all the world.
“If cloud of things opportunity does not knock, build a door for it” the only impossible cloud of things journey is the one you never begin
https://onedrive.live.com/?id=94B6ABA85272A3A5%21443&cid=94B6ABA85272A3A5&group=0
http://globecom2015.ieee-globecom.org/program/industry-program/posters
http://www.ijird.com/index.php/ijird/issue/view/6167
https://www.slideshare.net
search by :assem abdl hamied moussa/assem abdel hamed mousa/assem moussa/assem mousa
http://www.ipoareview.org/wp-content/uploads/2016/05/Statement-by-Dr.Assem-Abdel-Hamied-Mousa-President-of-the-Association-of-Scientists-Developers-and-FacultiesASDF.pdf
This document is an excerpt from the book "Apache Server 2 Bible" which provides a comprehensive guide to installing, configuring, and managing the Apache web server. The summary is:
1) The book guides readers through obtaining and installing Apache server and getting it running with minimal configuration changes.
2) It covers topics like virtual web site creation, user authentication, logging, and securing Apache.
3) Readers learn how to serve dynamic content using technologies like CGI, SSI, PHP, and Java servlets.
4) The book also discusses performance tuning and optimizing Apache for high-traffic websites.
The document discusses logistics and the Internet of Things (IoT). It summarizes that logistics is Germany's third largest industry, employing over 2.8 million people and generating €220 billion in turnover annually. It also outlines several Fraunhofer IML projects that apply IoT concepts to logistics, including using intelligent containers to track cargo in real-time, implementing agent-based control systems for autonomous transportation vehicles, and developing a "Logistics Mall" service-oriented architecture. The document advocates for a transition in logistics from hierarchical systems to distributed mesh networks of intelligent, autonomous entities representing the physical and virtual connection of all things.
How Olympus Controls Automates Predictive Maintenance with Telit, MQTT and In...InfluxData
Olympus Controls specializes in simplifying the integration of motion control, machine vision, and robotic technologies through better automation. They partner with their clients from creation to implementation, and nearly half of the Fortune 100 use Olympus Controls to improve manufacturing plants and factories. Discover how Olympus Controls uses a time series database to collect and analyze industrial sensor data, which is ultimately used to increase their customers' competitive advantage.
Join this webinar to learn as Nick Armenta dives into:
· Olympus Controls' strategy to developing hardware and software used to improved IIoT monitoring
· How they use Telit and MQTT to reduce siloed manufacturing operations, including monitoring robotic arms (i.e. vibration and temperature)
· Their approach to developing IoT analysis using InfluxDB, Telegraf and Flux
AWS Finland March meetup 2017 - selecting enterprise IoT platformRolf Koski
Rolf Koski from Cybercom presented on selecting an enterprise IoT platform. He discussed common functions of IoT solutions like devices/sensors, gateways, connectivity, analytics, and applications. Platform selection criteria include security, cost, availability, continuity, and risks. Options mentioned include end-to-end software, PaaS, IaaS with some PaaS, and open source DIY. While some platforms are leaders in certain attributes, no option is absolutely right, and business needs must be considered along with an organization's competence and ability to execute.
WSO2Con USA 2017: Building Enterprise Grade IoT Architectures for Digital Tra...WSO2
WSO2 IoT Server provides an enterprise grade platform for building IoT architectures and enabling digital transformation through devices. It offers key components like device management, analytics, integration and security. Device plugins allow new device types to be supported. Analytics capabilities include visualizing device data. The platform can be extended through new transports, authentication methods or analytic functions. WSO2 IoT Server addresses challenges in scaling, integration, application distribution and security for IoT.
OSGi -Simplifying the IoT Gateway - Walt Bowersmfrancis
OSGi Community Event 2015
Why do IoT gateways have to be so difficult? Currently the fragmentation, complexity, and potential lock-in of the gateway make picking an IoT gateway solution appear difficult. Add to that developer integration challenges and the gateway picture seems overly complex. Enter OSGi to simplify the development and deployment of the IoT Gateway.</p>
Built on OSGi, Eclipse Kura provides an open platform for developing and deploying IoT gateways. Combining live demonstrations on the Raspberry Pi and Eurotech Reliagate with real world Eurotech use cases, this talk will provide an overview of Kura demonstrating how it leverages OSGi to simplify IoT gateway solutions.
IoT market description and solutions based on Microsoft technologies/products:
- IoT Central
- Accelerators
- Azure services (PaaS and IaaS)
Ex: IoT Hub, DPS, IoT Plug and Play, IoT Edge, Event Hubs, Stream Analytics, etc
This document provides an introduction to Internet of Things (IoT) and firmware reversing. It defines IoT as network-connected physical devices that can collect and exchange data. Examples of IoT devices include routers, medical devices, vehicles and smart home appliances. The document discusses common IoT protocols, security risks of IoT devices, and demonstrates extracting and analyzing firmware from a D-Link router using the Binwalk tool. It concludes by outlining topics for further learning like firmware extraction methods, IDA Pro for reversing, IoT components, protocols and the OWASP IoT security risks.
The document discusses the challenges of testing the Internet of Everything (IoE). It notes that the IoE will include vast numbers of static and mobile devices integrated with hundreds of services. Testing the IoE will require strategies for functional testing, testing at scale, network testing, big data testing, and the use of modeling, test environments, tools, and analytics. A new model for testing is needed that focuses on exploration and learning skills over process. Testers may need new skills like writing code and working more closely with developers to test the complex IoE.
Reshaping Business Through IoT: Key Technology Factors to ConsiderEurotech
The IoT is the manifestation that the raw material of the information age is datum. Data are the new source of innovation and the lever to achieve business sustainability. By extracting data from assets and products, companies can become more efficient through a strategic rethinking of their value chains and business processes. In so doing, companies will add the required readiness to shift from products to services, and eventually enter in the outcome economy. To truly embrace the digital transformation, organizations need to collect actionable data from their assets, processes, and products and then connect the OT (Operational Technology) world where data are generated to IT (Information Technology) world where data are consumed. Beside predictive maintenance and asset usage maximization/optimization the benefits are huge: the transformation of any business into a smart business, increasing competitiveness also in mature markets; the creation of new innovative products and services; and the enablement of service prosumerization.
To make this happen there are some key technology factors to consider during the implementation of an IoT architecture.
meet2016: Reshaping Business Through IoT: Key Technology Factors to ConsiderRoberto Siagri
The IoT is the manifestation that the raw material of the information age is datum. Data are the new source of innovation and the lever to achieve business sustainability. By extracting data from assets and products, companies can become more efficient through a strategic rethinking of their value chains and business processes. In so doing, companies will add the required readiness to shift from products to services, and eventually enter in the outcome economy. To truly embrace the digital transformation, organizations need to collect actionable data from their assets, processes, and products and then connect the OT (Operational Technology) world where data are generated to IT (Information Technology) world where data are consumed. Beside predictive maintenance and asset usage maximization/optimization the benefits are huge: the transformation of any business into a smart business, increasing competitiveness also in mature markets; the creation of new innovative products and services; and the enablement of service prosumerization.
To make this happen there are some key technology factors to consider during the implementation of an IoT architecture.
This document discusses the key components needed for an Internet of Things (IoT) product, including required skill sets, areas to get started, and an example execution plan. It covers the basic building blocks of an IoT architecture, outlines skills in areas like firmware engineering, hardware, networking, security, data analysis, and software development. It also provides steps for taking an IoT idea from concept to market, including developing a proof of concept, specifications documentation, testing prototypes, and planning for marketing, finances, and mass production. Finally, it gives an example IoT product idea of a smart doorbell and highlights features addressed in its proof of concept testing.
Microsoft Hello World IoT 2017 - Embedded Systems Design - Build vs BuyFernando Luiz Cola
This document discusses hardware solutions for IoT and embedded systems. It provides a case study of the Nest Learning Thermostat, noting its key features like auto-scheduling, auto-away functionality, and remote control via mobile devices. It then discusses trends in embedded system design like improving time-to-market and lowering costs with standardized middleware and operating systems. Finally, it introduces Toradex as a provider of SOM and SBC solutions for IoT applications, highlighting their long product availability, scalable platforms, and global support network.
This document discusses securing the Internet of Things (IoT). It notes that IoT devices differ from traditional devices in ways that impact security, such as limited ability to update firmware. It recommends not relying on security through obscurity and discusses practical crypto implementations for small devices. The document also covers securing communication protocols like MQTT, CoAP and DTLS, as well as approaches like OAuth2 for authentication without passwords on devices. It describes a demonstration of using OAuth2 with MQTT to limit a device's access to an API by giving it a revocable token rather than a static password.
Onboarding a Historical Company on the Cloud Journey (IT Camp 2018)Marius Zaharia
1. The document describes the journey of a historical French transportation company moving parts of its IT infrastructure and workloads to the cloud with Microsoft Azure.
2. Key challenges included modernizing the company's culture and processes to be more agile and innovative while maintaining security, as well as gaining approval from the larger corporate group.
3. An Azure team was established within the company to manage cloud projects and provide services like infrastructure setup, governance, and acting as an intermediary for other Azure services. This helped drive more cloud adoption over time.
This document provides information about an IoT workshop hosted by Null Mumbai. It introduces the workshop organizers, Nitesh Malviya and Ganesh Naik, and their backgrounds in security and embedded systems. It then defines IoT and discusses its various components, including physical devices, sensors, networks, and cloud services. The document outlines common processor architectures, operating systems, protocols, and hardware that are used in IoT, such as Arduino, Raspberry Pi, MQTT, and more. It provides examples of how these pieces fit together in an IoT system and references materials for further learning.
Software-Infrastrukturen modernisieren in der Produktion - Digitale Transform...Dominik Obermaier
[GERMAN]
Welche Probleme tauchen bei der Modernisierung von Software-Infrastrukturen in der Fertigungsindustrie auf, wie sehen gängige Architekturmuster moderner Fabriken aus und wie kann MQTT & Sparkplug helfen, operative Technik und IT-Systeme zu verbinden?
Die digitale Transformation hat längst die Produktionshallen erreicht und verspricht revolutionäre Möglichkeiten in der Fertigung. Industrie 4.0 vernetzt alle am Produktionsprozess beteiligten Systeme. Damit steigt die Bedeutung von Standards, die einen systemübergreifenden Datenaustausch und eine reibungslose Maschine-zu-Maschine-Kommunikation gewährleisten.
In diesem Webinar werden die Probleme bei der Modernisierung von Software-Infrastrukturen in der Produktionsumgebung erörtert. Es werden gängige Architekturmuster vorgestellt, die moderne Fabriken verwenden, um die digitale Transformation in der Fabrik zu ermöglichen. MQTT wird dabei als Protokoll für die Verbindung von operativer Technik (OT-Systemen) und IT-Systemen verwendet. Außerdem wird die neue Sparkplug-Spezifikation vorgestellt, die Plug-and-Play-Interoperabilität zwischen IoT-Geräten und IoT-Anwendungen ermöglicht.
Erfahren Sie in dieser Webinaraufzeichnung:
Wie Automatisierungsdaten mit industriellen Messaging-Protokollen integriert werden,
Wie MQTT in einer unternehmenskritischen Echtzeitumgebung eingesetzt wird,
Wie Sie einen MQTT-Broker in der Cloud oder “on-premise” einsetzen und OT-Daten mit industriellen und business Anwendungen verbinden,
Wie Sparkplug die Datensilos in Ihrer Organisation aufbrechen und eine “Single Source of Truth” bereitstellen kann, die neue Anwendungen, wie Machine-Learning und KI, ermöglicht.
Webinar recording in German is available here: https://www.maschinenmarkt.vogel.de/software-infrastrukturen-modernisieren-in-der-produktion-w-43958/
Enabling IoT Devices’ Hardware and Software Interoperability, IPSO Alliance (...Open Mobile Alliance
Presentation delivered during the Internet of Things World, Santa Clara pre-event workshop by Christian Legare - IPSO Alliance Chairman, Chief of Software Engineering, Micrium (Part of Silicon Labs)
Internet Protocol for Smart Objects (IPSO) is an alliance that, among other things, defines a data model to represent sensor values and attributes. OMA uses IPSO Smart Objects v1.0 as its resource model to expose sensor information to a remote LwM2M Server. From the speaker from IPSO Alliance, you will learn:
● What is an IPSO Smart Object data model
● What do these Objects and Resources look like
● How to create and register your own resources
● What is next for IPSO Alliance
The CSIRO Autonomous Systems Lab has been researching autonomous systems since 1995, with a vision of humans and autonomous systems seamlessly collaborating. Their research focuses on areas like persistent robotics, bespoke robotics, reality capture, reality display, pervasive sensing, connected sensing, and high performance workplaces. They discussed challenges like managing disruptive technologies and building absorptive capacity in companies. They proposed potential solutions like innovation hubs to bridge research and industry. The i3Hub was presented as a proposed innovation hub to inspire and transform Australian businesses through industrial internet technologies.
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Honeypots Unveiled: Proactive Defense Tactics for Cyber Security, Phoenix Sum...APNIC
Adli Wahid, Senior Internet Security Specialist at APNIC, delivered a presentation titled 'Honeypots Unveiled: Proactive Defense Tactics for Cyber Security' at the Phoenix Summit held in Dhaka, Bangladesh from 23 to 24 May 2024.
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HijackLoader Evolution: Interactive Process HollowingDonato Onofri
CrowdStrike researchers have identified a HijackLoader (aka IDAT Loader) sample that employs sophisticated evasion techniques to enhance the complexity of the threat. HijackLoader, an increasingly popular tool among adversaries for deploying additional payloads and tooling, continues to evolve as its developers experiment and enhance its capabilities.
In their analysis of a recent HijackLoader sample, CrowdStrike researchers discovered new techniques designed to increase the defense evasion capabilities of the loader. The malware developer used a standard process hollowing technique coupled with an additional trigger that was activated by the parent process writing to a pipe. This new approach, called "Interactive Process Hollowing", has the potential to make defense evasion stealthier.
2. Agenda
• Embedded Devices and the IoT
• Product Life-Cycle
– Development
– Sales and Deployment
– Operations and Maintenance
• Security in the Product Life-Cycle
Oliver Meili @oooohhhmmy
4. The Thing
• Your Fridge, Washing
Machine, Sensor on an
Assembly Line
• Software built by ageing
(mechanical, electrical)
engineers who are experts
in
– Interfacing the electronics
with the physical world
– Dealing with limited memory
(16+kB ROM, 1+kB RAM)
– Dealing with real-time
constraints
– Reliability
Based on Small Microcontroller
8-bit, 16-bit, 32-bit (Cortex-M)
No or Embedded (RT)OS
FreeRTOS, TinyOS, Contiki OS, RIOT-OS
Low Power
Sleep Modes
Interfaces with Physical World
Connects Sensors
Network Interface
BLE, 802.15.4, WiFi
Oliver Meili @oooohhhmmy
5. The Gateway
• Your Home or Industrial
Router
• Often based on OSS and
third-party components
• Software built by
software engineers
• Needs to support new
functionality
– Device Management
– Key Management
– New wireless interfaces
Based on Large CPU
32-bit (Cortex-A, Intel x86)
Powerful Embedded OS
Linux, Windows (CE), QNX
Low Power
Sleep Modes
Separates the Things from the Internet
Might be an Application Gateway
Network Interface
WiFi, Ethernet, 3G, 4G
Oliver Meili @oooohhhmmy
6. Product Life-Cycle: Development
• Consists of mechanics, electronics and software
– They have to work together!
• Can take several years, depending on complexity
– Products exist in various variants and with tons of configuration
options
• Software is becoming more and more componentized
– Third-party and open-source components
• Testing is very difficult
– Need to test real world interfaces, unknown conditions
Development
Oliver Meili @oooohhhmmy
8. Product Life-Cycle: Development
Development
• There is an embedded way of writing software – everything is static
– No heap/memory allocation to improve reliability
– Software is configured statically, i.e. OS tacks, stack size, features
• Firmware contains very few parameter checks for efficiency reasons
(runtime and code size)
– Parameter checks only activated during functional testing
• Modern Things have a network interface!
– Firmware engineers know little about networking protocols and very
little about security
– Integration of lwIP or mIP, maybe (D)TLS
Oliver Meili @oooohhhmmy
9. Product Life-Cycle: Sales
• Embedded products stay on the market for years
– How often do home appliances get refreshed in stores?
• For more complex products, there is a provisioning step
when deploying a device
– Someone needs to configure the Thing before it can be used
• Reliability is often more important than the number of
features
– Extreme case: air traffic control
Sales
Oliver Meili @oooohhhmmy
10. Operations & Maintenance
Product Life-Cycle: Operations
• Embedded products stay in operations for a very
long time
– Cars reach an average age of 13 years
– How often do you exchange home appliances?
– How old is the oldest MRT train in Singapore?
• Spare parts need to be available
– Components (mechanical/hardware) will be reused
– Not just software bits ;-)
Oliver Meili @oooohhhmmy
11. Operations & Maintenance
Product Life-Cycle: Operations
• Traditionally there are no or only very few software
updates
– This is changing drastically with connected devices
– And no security management
• Any update requires re-testing
– Use of huge test equipment, old software
– Upgrade of third-party software is a big risk
• Requires detailed analysis of changes in components
Oliver Meili @oooohhhmmy
12. Operations & Maintenance
The Product Life-Cycle
• Embedded Products
– Take years to develop
• Verification is one of the hardest tasks to do
– Are sold for a considerable amount of time
• How long do you find a new car model for sale at the dealer?
– Are in operations for a very long time
• When was the last time you bought a new washing
machines?
Development
Sales
Oliver Meili @oooohhhmmy
13. Security Requirements
• Things in foreign lands
– Developers don’t know the Thing’s environment and it’s
not going to be a well protected network (IPv6 instead of
NAT, firewalls?)
• Enterprise integration
– Identity and key management, authentication, logging
• Minimizing attack surface
– Does every Thing need a webserver, a shell and other
ports open?
• Things need identities
– And they need to be managed
• Over-the-air (OTA) update is a must!
Oliver Meili @oooohhhmmy
14. Security Challenges
• Threat modeling?
– Physical security: theft of parts and Things
• Secure architecture and design?
– Integration into enterprise solutions (auth, PKI, …)
– Logging on small devices, anyone?
• Secure coding?
– Input validation!
• Understanding of security concepts?
– “just disable feature XY and it will work”
– “some even enable firewalls on gateways!”
– “security has to deal with protocols”
Oliver Meili @oooohhhmmy
15. Security Challenges
• Documentation of software components?
• Examples or demos of third-party software?
• Verification and validation
– Working test environment for the whole product
life-cycle, particularly during maintenance
• Vulnerability management?
– Internal and external vulnerabilities
– For the whole product life-cycle
– Disclosure!
Oliver Meili @oooohhhmmy
16. Conclusion
• Things in the Internet of Things sometimes live a
very long time
– Think multiple decades
– Testing and maintenance are the tough part
• Developers are not always up to the task to
implement security
– There are still mechanical engineers writing firmware
• Configuration management is crucial
– Manage variants and vulnerabilities
Oliver Meili @oooohhhmmy