This document summarizes a research paper that proposes a system called Nymble to address the problem of restricting mischievous users in anonymizing networks while preserving user privacy. Key points:
1) Anonymizing networks allow anonymous access but some users misuse this for defacing websites. Servers blacklist entire networks, denying access to all users.
2) Nymble issues "nymbles" (pseudonyms) to users through a Pseudonym Manager and Nymble Manager. Servers can blacklist users by obtaining seeds to link nymbles to misbehaviors.
3) Blacklisted users are notified before using nymbles so they don't waste connections. Past connections for blacklisted users remain
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
JAVA
.NET
EMBEDDED SYSTEMS
ROBOTICS
MECHANICAL
MATLAB etc
For further details contact us:
enquiry@ingenioustech.in
044-42046028 or 8428302179.
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#241/85, 4th floor
Rangarajapuram main road,
Kodambakkam (Power House)
http://www.ingenioustech.in/
This document proposes a trust count based validation method to lessen internal attacks in mobile ad hoc networks. The key aspects of the proposed method are:
1. The network is divided into hierarchical clusters, each with a fully trusted cluster head.
2. Each node holds a certificate from an offline certificate authority that includes the node's access policy and expiration time.
3. A trust count is periodically calculated for each node based on its access policy evaluations.
4. Cluster heads renew or reject member nodes' certificates based on their trust count values, aiming to mitigate internal attacks like node capture attacks.
IRJET- Detection of Distributed Denial-of-Service (DDos) Attack on Software D...IRJET Journal
This document discusses detecting distributed denial-of-service (DDoS) attacks on software defined networks (SDNs). It first provides background on SDNs and DDoS attacks. It then reviews related research on DDoS detection methods for SDNs. The document evaluates these methods based on results using the KDD99 dataset in a simulated SDN environment. It finds that the Double P-value of Transductive Confidence Machines for K-Nearest Neighbors (DPTCM-KNN) method achieved the highest true positive rate and lowest false positive rate, making it the most efficient approach for detecting anomalous flows in SDNs.
Tech navigator summarizes several common types of cyber crimes. These include unauthorized access to computer systems like hacking, email bombing which overwhelms systems with messages, spreading viruses and malware, data diddling which alters stored information, cyber stalking which uses technology to harass victims, and child pornography which preys on vulnerable children online. While cyber crimes may not have physical effects, they can still cause psychological and emotional harm, and policing these new forms of crime presents challenges for law enforcement.
A Secure Intrusion Detection System against DDOS Attack in Wireless Ad-Hoc Ne...IJERA Editor
MANET (Wireless Mobile Ad-hoc Network) is a technology which are used in society in daily life an
activities such as in traffic surveillance, in building construction or it’s application is used in battlefield also. In
MANET there is no control of any node here is no centralized controller that’s why each node has its own
routing capability. And each node act as device and its change its connection to other devices.
The main problem of today’s MANET is a security, because there is no any centralized controller. Our main aim
is that we protect them from DDOS attack in terms of flooding through messages, packet drop, end to end delay
and energy dropping etc. For that we are applying many techniques for saving energy of nodes and identifying
malicious node and types of DDOS attack and in this paper we are discussing this technique.
Energy saving Wireless Sensor Networks using KerberosEditor IJCATR
The wireless sensor network is an networking field that combines sensing, computation, and communication into a single
tiny device. As sensor networks frame closer towards well-known deployment, security issues become a vital concern. So far, much
work has focused on making sensor networks realistic and useful, but still security in sensor network data communication is big issue
for research. This paper proposed the idea of having different Kerberos authentication architecture for the different clusters in sensor
network to save energy factor of the sensor nodes and to save time for data communication between the sensor nodes in the network
A Survey: DDOS Attack on Internet of ThingsIJERD Editor
Internet of Things refer as interconnection of smart object, included from small coffee machine to
big car, communicate with each other without human interactions also called as Device to Device
communications. In current emerging world, all of the devices become smarter and can communicate with other
devices as well. With this rapid development of Internet of Things in different area like smart home, smart
hospital etc. it also have to face some difficulty to securing overall privacy due to heterogeneity nature. There
are so many types of vulnerability but here in this paper we put concentration on Distributed Denial of Service
attack (DDoS). DoS is attack which can block the usage for authentic user and make network resource
unavailable, consume bandwidth; if similar attack is penetrated from different sources its call DDoS. To prevent
from such attack it need mechanism that can detect and prevent it from attack, but due to small devices it has
limited power capacity. So that mechanism must be implemented at network entrance. In this paper we discuss
different DDoS attack and its effect on IoT.
IJERA (International journal of Engineering Research and Applications) is International online, ... peer reviewed journal. For more detail or submit your article, please visit www.ijera.com
Dear Students
Ingenious techno Solution offers an expertise guidance on you Final Year IEEE & Non- IEEE Projects on the following domain
JAVA
.NET
EMBEDDED SYSTEMS
ROBOTICS
MECHANICAL
MATLAB etc
For further details contact us:
enquiry@ingenioustech.in
044-42046028 or 8428302179.
Ingenious Techno Solution
#241/85, 4th floor
Rangarajapuram main road,
Kodambakkam (Power House)
http://www.ingenioustech.in/
This document proposes a trust count based validation method to lessen internal attacks in mobile ad hoc networks. The key aspects of the proposed method are:
1. The network is divided into hierarchical clusters, each with a fully trusted cluster head.
2. Each node holds a certificate from an offline certificate authority that includes the node's access policy and expiration time.
3. A trust count is periodically calculated for each node based on its access policy evaluations.
4. Cluster heads renew or reject member nodes' certificates based on their trust count values, aiming to mitigate internal attacks like node capture attacks.
IRJET- Detection of Distributed Denial-of-Service (DDos) Attack on Software D...IRJET Journal
This document discusses detecting distributed denial-of-service (DDoS) attacks on software defined networks (SDNs). It first provides background on SDNs and DDoS attacks. It then reviews related research on DDoS detection methods for SDNs. The document evaluates these methods based on results using the KDD99 dataset in a simulated SDN environment. It finds that the Double P-value of Transductive Confidence Machines for K-Nearest Neighbors (DPTCM-KNN) method achieved the highest true positive rate and lowest false positive rate, making it the most efficient approach for detecting anomalous flows in SDNs.
Tech navigator summarizes several common types of cyber crimes. These include unauthorized access to computer systems like hacking, email bombing which overwhelms systems with messages, spreading viruses and malware, data diddling which alters stored information, cyber stalking which uses technology to harass victims, and child pornography which preys on vulnerable children online. While cyber crimes may not have physical effects, they can still cause psychological and emotional harm, and policing these new forms of crime presents challenges for law enforcement.
A Secure Intrusion Detection System against DDOS Attack in Wireless Ad-Hoc Ne...IJERA Editor
MANET (Wireless Mobile Ad-hoc Network) is a technology which are used in society in daily life an
activities such as in traffic surveillance, in building construction or it’s application is used in battlefield also. In
MANET there is no control of any node here is no centralized controller that’s why each node has its own
routing capability. And each node act as device and its change its connection to other devices.
The main problem of today’s MANET is a security, because there is no any centralized controller. Our main aim
is that we protect them from DDOS attack in terms of flooding through messages, packet drop, end to end delay
and energy dropping etc. For that we are applying many techniques for saving energy of nodes and identifying
malicious node and types of DDOS attack and in this paper we are discussing this technique.
Energy saving Wireless Sensor Networks using KerberosEditor IJCATR
The wireless sensor network is an networking field that combines sensing, computation, and communication into a single
tiny device. As sensor networks frame closer towards well-known deployment, security issues become a vital concern. So far, much
work has focused on making sensor networks realistic and useful, but still security in sensor network data communication is big issue
for research. This paper proposed the idea of having different Kerberos authentication architecture for the different clusters in sensor
network to save energy factor of the sensor nodes and to save time for data communication between the sensor nodes in the network
A Survey: DDOS Attack on Internet of ThingsIJERD Editor
Internet of Things refer as interconnection of smart object, included from small coffee machine to
big car, communicate with each other without human interactions also called as Device to Device
communications. In current emerging world, all of the devices become smarter and can communicate with other
devices as well. With this rapid development of Internet of Things in different area like smart home, smart
hospital etc. it also have to face some difficulty to securing overall privacy due to heterogeneity nature. There
are so many types of vulnerability but here in this paper we put concentration on Distributed Denial of Service
attack (DDoS). DoS is attack which can block the usage for authentic user and make network resource
unavailable, consume bandwidth; if similar attack is penetrated from different sources its call DDoS. To prevent
from such attack it need mechanism that can detect and prevent it from attack, but due to small devices it has
limited power capacity. So that mechanism must be implemented at network entrance. In this paper we discuss
different DDoS attack and its effect on IoT.
DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACKS DETECTION MECHANISM ijcseit
Pushback is a mechanism for defending against Distributed Denial-of-Service (DDoS) attacks. DDoS
attacks are treated as a congestion-control problem, but because most such congestion is caused by
malicious hosts not obeying traditional end-to-end congestion control, the problem must be handled by the
routers. Functionality is added to each router to detect and preferentially drop packets that probably
belong to an attack. Upstream routers are also notified to drop such packets in order that the router’s
resources be used to route legitimate traffic hence term pushback. Client puzzles have been advocated as a
promising countermeasure to DoS attacks in the recent years. In order to identify the attackers, the victim
server issues a puzzle to the client that sent the traffic. When the client is able to solve the puzzle, it is
assumed to be authentic and the traffic from it is allowed into the server. If the victim suspects that the
puzzles are solved by most of the clients, it increases the complexity of the puzzles. This puzzle solving
technique allows the traversal of the attack traffic throughout the intermediate routers before reaching the
destination. In order to attain the advantages of both pushback and puzzle solving techniques, a hybrid
scheme called Router based Pushback technique, which involves both the techniques to solve the problem
of DDoS attacks is proposed. In this proposal, the puzzle solving mechanism is pushed back to the core
routers rather than having at the victim. The router based client puzzle mechanism checks the host system
whether it is legitimate or not by providing a puzzle to be solved by the suspected host.
This document describes a proposed software framework called SmartX that aims to provide advanced network security for the Windows operating system. SmartX seeks to overcome drawbacks of virtual private networks (VPNs) by reducing buffer copies and protocol overhead during network packet transmission. It uses a mutual identity algorithm for authentication between endpoints and 128-bit AES encryption of packets. The framework would reside in the Network Driver Interface Specification (NDIS) and modify packets before transmission to provide secure and efficient communication with reduced processing overhead compared to standard VPNs.
This document summarizes research on enhancing the DSR routing protocol to prevent distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It discusses how DDoS attacks work, the challenges they present for MANETs due to their dynamic nature, and existing research on DDoS attack detection and prevention. The document reviews literature on analyzing DDoS attack behaviors and properties, characterizing attack traffic patterns, and using statistical analysis and neural networks to identify attacks. The goal of the research is to develop an enhanced DSR protocol that can detect and mitigate DDoS attacks in MANETs more effectively than previous approaches.
Design & Implementation of Secure AODV In Multicast Routing To Detect DDOS At...IJNSA Journal
The wireless ad hoc network is particularly vulnerable to DOS attacks due to its features of open medium, dynamic changing topology, cooperative algorithms, decentralization of the protocols, and lack of a clear line of defense is a growing problem in networks today. In Mobile Ad hoc Networks (MANET), various types of Denial of Service Attacks (DOS) are possible because of the inherent limitations of its routing protocols. In this paper we will secure the MANET from the DDOS attack. DDOS attacks are similar to DOS attacks but there is a difference between them and that is DDOS attacks involve breaking in to hundreds or thousands of machines, so for this reason, this attack called Distributed. Very often, systems that use for attack is a part of the networks and users of these systems don’t know about that, their systems used for attack to another systems. This kind of attack, consume more bandwidth and uses more sources in network. . In this work, we study the effect of one of the important attacks that called DDOS in MANET on most vulnerability protocol that named AODV. The product of this study is detection of DDOS attack by
using AODV (adhoc on demand distance vector) protocol. Proposed scheme is distributed in nature it has the capability to prevent Distributed DOS (DDOS) as well..
A secure intrusion detection system against ddos attack in wireless mobile ad...vishnuRajan20
At Softroniics we provide job oriented training for freshers in IT sector. We are providing IEEE project guidance and Final year project guidance. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI, Modelsim, Tanner, Xilinx etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. We are providing long term and short term internship also. We are also providing IEEE project support at Calicut, Thrissur and Palakkad. For more details contact 9037291113, 7907435072
This document summarizes a research paper on a robust watermarking scheme using direct sequence CDMA based on orthogonal pseudorandom sequences. The proposed scheme aims to improve hiding capacity and robustness. It does this by eliminating correlation between code sequences and host images during extraction. This is achieved by projecting the host image onto an orthogonal pseudorandom sequence subspace before embedding. Experimental results on various test images under different attacks show the proposed scheme achieves higher robustness and hiding capacity compared to canonical CDMA watermarking schemes.
This document discusses network traffic monitoring using the Winpcap packet capturing tool. It begins with an introduction to enterprise network monitoring and requirements. It then provides an overview of Winpcap, including its architecture and how it works. Key aspects covered include the packet capture driver, Packet.dll, and WinPcap.dll libraries. The document also discusses related tools like Jpcap for Java packet capturing. It concludes with an overview of a sample network traffic monitoring application that implements packet capturing using Winpcap.
The document summarizes distributed denial of service (DDoS) attacks and defenses against them. It provides an overview of DDoS attacks, describes several common DDoS tools (Trinoo, TFN, TFN2K, Stacheldraht), and discusses challenges in defending against them. It also presents a case study of a DDoS attack against the website GRC.com and the difficulties they faced in getting help stopping the attacks. The document advocates for coordinated technical solutions and consistent incentive structures to defend against DDoS attacks.
The document describes an intrusion detection system for cluster-based wireless sensor networks. It proposes using MAC address-based intruder tracking to detect intruders early. The system divides the network into clusters, with cluster heads monitoring members. It uses port numbers, IP addresses and MAC addresses to authenticate nodes and detect intruders pretending to be valid nodes. If intruder behavior is detected, an alarm is raised. The approach aims to securely transmit data in the network by identifying and preventing malicious intrusions and attacks.
Analysis of denial of service (dos) attacks in wireless sensor networkseSAT Publishing House
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
This document describes a proposed SDN-based scheme for detecting and mitigating distributed denial-of-service (DDoS) attacks mounted by botnets. The scheme involves a DDoS blocking application running on an SDN controller that monitors network traffic flows and detects attacks. When an attack is detected, the application installs rules on SDN switches to block traffic from botnet sources while still allowing legitimate traffic. The target server implements CAPTCHA to differentiate legitimate and bot traffic during attacks. The scheme is implemented using the POX SDN controller and OpenFlow standards and tested on the Mininet emulator.
DoubleGuard is an intrusion detection system that models the network behavior of user sessions across both the front-end web server and back-end database to detect attacks that independent IDS's would miss, by monitoring both web requests and subsequent database queries; it was implemented using Apache, MySQL, and virtualization, and evaluated on real-world traffic over 15 days with 100% accuracy on static web apps and 0.6% false positives on dynamic apps.
This document summarizes a research paper about denial of service (DoS) attacks on wireless sensor networks. It begins by outlining some key security goals for wireless sensor networks, including data confidentiality, integrity, availability, and authentication. It then discusses DoS attacks specifically, noting they aim to degrade efficient use of network resources. The document proposes that DoS attacks can occur at different layers of the OSI model. It provides examples of physical layer attacks like jamming and describes how frequency hopping can help counter jamming. In closing, it notes DoS attacks threaten the availability security goal for wireless sensor networks.
The document proposes modifications to the AODV routing protocol to prevent denial of service attacks in mobile ad hoc networks. It describes how a malicious node can currently overload the network by flooding route requests. The proposed scheme limits the number of route requests a node can accept or forward to prevent this attack. It also blacklists nodes that exceed the route request limit to isolate misbehaving nodes. Simulations show the proposed approach reduces packet loss compared to the standard AODV protocol when under a denial of service attack.
1. The document proposes a privacy-preserving routing protocol called USOR for mobile ad hoc networks that achieves content unobservability. USOR uses anonymous key establishment based on group signatures and establishes secret session keys between nodes.
2. USOR performs an unobservable route discovery process to find routes to destinations. It establishes anonymous keys between nodes without nodes knowing each other's identities. This prevents attacks while achieving key confirmation.
3. USOR pads all packets to achieve strong privacy protection and resistance to attacks from compromised nodes. It provides better anonymity, unobservability and unlinkability than existing schemes like MASK.
IRJET- A Survey on DDOS Attack in ManetIRJET Journal
This document summarizes a survey on distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It begins by introducing MANETs and some of the key security issues they face, including DDoS attacks. It then discusses different types of DDoS attacks like flooding and amplification/reflection attacks. The document proposes a new defense scheme against amplification attacks, which exploit protocols like DNS and NTP to amplify traffic. It describes using the Network Security Simulator to model and simulate DDoS attacks with master, zombie, and server entities to evaluate defense techniques and compare the impact of protocols like DNS and NTP.
Colt IP Guardian is a service that protects customers from DDoS attacks by continuously monitoring customer traffic within Colt's network. When an attack is detected, traffic is automatically diverted to Colt's threat management system (TMS) which mitigates the attack before traffic reaches the customer. Only cleaned traffic flows to the customer. The service offers various options like continuous monitoring, on-demand control by the customer, and emergency implementation. It provides benefits like protection from attacks before they impact the customer, anomaly monitoring for rapid detection, and flexibility.
Denial of Service (DoS) Attacks at Network Layer in WSNIJERA Editor
Recent advancements in technology, tiny size, cost effectiveness have made sensors as a crucial part of real
world sensitive applications. These sensor nodes are scattered over an area to monitor the situations like fire,
flood and record the data and to forward meaningful data to the center head node for observation, resulting an
advance prompt to control the situation. In last decade, WSN have grown significantly in variety of areas and
applications, resulted the high, consistent security mechanism. Also, there is variety of attacks on WSN at their
different layers of architecture. Though sensor nodes are not capable enough in terms of power, processing etc.
but applications based on these sensors demand on-time collection of information or data and then to send same
on reliable, secure delivery medium. Small sensors with limited hardware, processing cannot afford traditional
security mechanisms to face or sustain the attacks. There is variety of attacks at different layers of WSN
architecture to affect sensor‟s roles like signaling, framing, transmission etc. Many Denial of Service (DoS)
attacks are identified at each layer of WSN which are purposeful, planned attacks to hamper the availability of
service, restricting the sensor node‟s utility for problem solution. In this paper we will focus on the WSN
architecture, characteristics, constraints and various types of DoS attacks primarily on physical and data link
layer and particularly at network layer in details with some suggestions against attacks.
This document proposes improving infrastructure as a service (IaaS) cloud computing by overlapping on-demand resource allocation with opportunistic provisioning of cycles from idle cloud nodes. It extends the Nimbus cloud computing toolkit to deploy backfill virtual machines on idle nodes for high throughput computing workloads. Evaluation shows backfill VMs can increase cloud infrastructure utilization from 38.5% to 100% with only 6.39% overhead for processing workloads, benefiting both cloud providers and users.
The document discusses applying the Box-Jenkins ARIMA model to forecast crime, specifically counterfeiting crimes in Gujarat State, India. It provides background on time series forecasting and the ARIMA model. The key steps taken were:
1) The crime data for counterfeiting crimes in Gujarat State was obtained and organized as a time series.
2) The ARIMA model was applied to the time series data to identify the appropriate ARIMA(p,d,q) structure and make a short-term forecast of future counterfeiting crimes.
3) The results and conclusions of forecasting counterfeiting crimes with the ARIMA model are discussed
1) The document presents a new algorithm for defining and segmenting regions in medical images, specifically mammography images, for content-based image compression purposes.
2) The algorithm uses a "division, domination, and quad tree" approach to recursively divide images into regions coded with 0s, 1s, and Ps to represent filled, empty, and further-divided regions.
3) The algorithm provides advantages over other region descriptor methods like chain codes and Fourier descriptors by being less computationally complex, more flexible to transformations, and producing shorter region codes.
DISTRIBUTED DENIAL OF SERVICE (DDOS) ATTACKS DETECTION MECHANISM ijcseit
Pushback is a mechanism for defending against Distributed Denial-of-Service (DDoS) attacks. DDoS
attacks are treated as a congestion-control problem, but because most such congestion is caused by
malicious hosts not obeying traditional end-to-end congestion control, the problem must be handled by the
routers. Functionality is added to each router to detect and preferentially drop packets that probably
belong to an attack. Upstream routers are also notified to drop such packets in order that the router’s
resources be used to route legitimate traffic hence term pushback. Client puzzles have been advocated as a
promising countermeasure to DoS attacks in the recent years. In order to identify the attackers, the victim
server issues a puzzle to the client that sent the traffic. When the client is able to solve the puzzle, it is
assumed to be authentic and the traffic from it is allowed into the server. If the victim suspects that the
puzzles are solved by most of the clients, it increases the complexity of the puzzles. This puzzle solving
technique allows the traversal of the attack traffic throughout the intermediate routers before reaching the
destination. In order to attain the advantages of both pushback and puzzle solving techniques, a hybrid
scheme called Router based Pushback technique, which involves both the techniques to solve the problem
of DDoS attacks is proposed. In this proposal, the puzzle solving mechanism is pushed back to the core
routers rather than having at the victim. The router based client puzzle mechanism checks the host system
whether it is legitimate or not by providing a puzzle to be solved by the suspected host.
This document describes a proposed software framework called SmartX that aims to provide advanced network security for the Windows operating system. SmartX seeks to overcome drawbacks of virtual private networks (VPNs) by reducing buffer copies and protocol overhead during network packet transmission. It uses a mutual identity algorithm for authentication between endpoints and 128-bit AES encryption of packets. The framework would reside in the Network Driver Interface Specification (NDIS) and modify packets before transmission to provide secure and efficient communication with reduced processing overhead compared to standard VPNs.
This document summarizes research on enhancing the DSR routing protocol to prevent distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It discusses how DDoS attacks work, the challenges they present for MANETs due to their dynamic nature, and existing research on DDoS attack detection and prevention. The document reviews literature on analyzing DDoS attack behaviors and properties, characterizing attack traffic patterns, and using statistical analysis and neural networks to identify attacks. The goal of the research is to develop an enhanced DSR protocol that can detect and mitigate DDoS attacks in MANETs more effectively than previous approaches.
Design & Implementation of Secure AODV In Multicast Routing To Detect DDOS At...IJNSA Journal
The wireless ad hoc network is particularly vulnerable to DOS attacks due to its features of open medium, dynamic changing topology, cooperative algorithms, decentralization of the protocols, and lack of a clear line of defense is a growing problem in networks today. In Mobile Ad hoc Networks (MANET), various types of Denial of Service Attacks (DOS) are possible because of the inherent limitations of its routing protocols. In this paper we will secure the MANET from the DDOS attack. DDOS attacks are similar to DOS attacks but there is a difference between them and that is DDOS attacks involve breaking in to hundreds or thousands of machines, so for this reason, this attack called Distributed. Very often, systems that use for attack is a part of the networks and users of these systems don’t know about that, their systems used for attack to another systems. This kind of attack, consume more bandwidth and uses more sources in network. . In this work, we study the effect of one of the important attacks that called DDOS in MANET on most vulnerability protocol that named AODV. The product of this study is detection of DDOS attack by
using AODV (adhoc on demand distance vector) protocol. Proposed scheme is distributed in nature it has the capability to prevent Distributed DOS (DDOS) as well..
A secure intrusion detection system against ddos attack in wireless mobile ad...vishnuRajan20
At Softroniics we provide job oriented training for freshers in IT sector. We are providing IEEE project guidance and Final year project guidance. We are Pioneers in all leading technologies like Android, Java, .NET, PHP, Python, Embedded Systems, Matlab, NS2, VLSI, Modelsim, Tanner, Xilinx etc. We are specializiling in technologies like Big Data, Cloud Computing, Internet Of Things (iOT), Data Mining, Networking, Information Security, Image Processing and many other. We are providing long term and short term internship also. We are also providing IEEE project support at Calicut, Thrissur and Palakkad. For more details contact 9037291113, 7907435072
This document summarizes a research paper on a robust watermarking scheme using direct sequence CDMA based on orthogonal pseudorandom sequences. The proposed scheme aims to improve hiding capacity and robustness. It does this by eliminating correlation between code sequences and host images during extraction. This is achieved by projecting the host image onto an orthogonal pseudorandom sequence subspace before embedding. Experimental results on various test images under different attacks show the proposed scheme achieves higher robustness and hiding capacity compared to canonical CDMA watermarking schemes.
This document discusses network traffic monitoring using the Winpcap packet capturing tool. It begins with an introduction to enterprise network monitoring and requirements. It then provides an overview of Winpcap, including its architecture and how it works. Key aspects covered include the packet capture driver, Packet.dll, and WinPcap.dll libraries. The document also discusses related tools like Jpcap for Java packet capturing. It concludes with an overview of a sample network traffic monitoring application that implements packet capturing using Winpcap.
The document summarizes distributed denial of service (DDoS) attacks and defenses against them. It provides an overview of DDoS attacks, describes several common DDoS tools (Trinoo, TFN, TFN2K, Stacheldraht), and discusses challenges in defending against them. It also presents a case study of a DDoS attack against the website GRC.com and the difficulties they faced in getting help stopping the attacks. The document advocates for coordinated technical solutions and consistent incentive structures to defend against DDoS attacks.
The document describes an intrusion detection system for cluster-based wireless sensor networks. It proposes using MAC address-based intruder tracking to detect intruders early. The system divides the network into clusters, with cluster heads monitoring members. It uses port numbers, IP addresses and MAC addresses to authenticate nodes and detect intruders pretending to be valid nodes. If intruder behavior is detected, an alarm is raised. The approach aims to securely transmit data in the network by identifying and preventing malicious intrusions and attacks.
Analysis of denial of service (dos) attacks in wireless sensor networkseSAT Publishing House
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
This document describes a proposed SDN-based scheme for detecting and mitigating distributed denial-of-service (DDoS) attacks mounted by botnets. The scheme involves a DDoS blocking application running on an SDN controller that monitors network traffic flows and detects attacks. When an attack is detected, the application installs rules on SDN switches to block traffic from botnet sources while still allowing legitimate traffic. The target server implements CAPTCHA to differentiate legitimate and bot traffic during attacks. The scheme is implemented using the POX SDN controller and OpenFlow standards and tested on the Mininet emulator.
DoubleGuard is an intrusion detection system that models the network behavior of user sessions across both the front-end web server and back-end database to detect attacks that independent IDS's would miss, by monitoring both web requests and subsequent database queries; it was implemented using Apache, MySQL, and virtualization, and evaluated on real-world traffic over 15 days with 100% accuracy on static web apps and 0.6% false positives on dynamic apps.
This document summarizes a research paper about denial of service (DoS) attacks on wireless sensor networks. It begins by outlining some key security goals for wireless sensor networks, including data confidentiality, integrity, availability, and authentication. It then discusses DoS attacks specifically, noting they aim to degrade efficient use of network resources. The document proposes that DoS attacks can occur at different layers of the OSI model. It provides examples of physical layer attacks like jamming and describes how frequency hopping can help counter jamming. In closing, it notes DoS attacks threaten the availability security goal for wireless sensor networks.
The document proposes modifications to the AODV routing protocol to prevent denial of service attacks in mobile ad hoc networks. It describes how a malicious node can currently overload the network by flooding route requests. The proposed scheme limits the number of route requests a node can accept or forward to prevent this attack. It also blacklists nodes that exceed the route request limit to isolate misbehaving nodes. Simulations show the proposed approach reduces packet loss compared to the standard AODV protocol when under a denial of service attack.
1. The document proposes a privacy-preserving routing protocol called USOR for mobile ad hoc networks that achieves content unobservability. USOR uses anonymous key establishment based on group signatures and establishes secret session keys between nodes.
2. USOR performs an unobservable route discovery process to find routes to destinations. It establishes anonymous keys between nodes without nodes knowing each other's identities. This prevents attacks while achieving key confirmation.
3. USOR pads all packets to achieve strong privacy protection and resistance to attacks from compromised nodes. It provides better anonymity, unobservability and unlinkability than existing schemes like MASK.
IRJET- A Survey on DDOS Attack in ManetIRJET Journal
This document summarizes a survey on distributed denial of service (DDoS) attacks in mobile ad hoc networks (MANETs). It begins by introducing MANETs and some of the key security issues they face, including DDoS attacks. It then discusses different types of DDoS attacks like flooding and amplification/reflection attacks. The document proposes a new defense scheme against amplification attacks, which exploit protocols like DNS and NTP to amplify traffic. It describes using the Network Security Simulator to model and simulate DDoS attacks with master, zombie, and server entities to evaluate defense techniques and compare the impact of protocols like DNS and NTP.
Colt IP Guardian is a service that protects customers from DDoS attacks by continuously monitoring customer traffic within Colt's network. When an attack is detected, traffic is automatically diverted to Colt's threat management system (TMS) which mitigates the attack before traffic reaches the customer. Only cleaned traffic flows to the customer. The service offers various options like continuous monitoring, on-demand control by the customer, and emergency implementation. It provides benefits like protection from attacks before they impact the customer, anomaly monitoring for rapid detection, and flexibility.
Denial of Service (DoS) Attacks at Network Layer in WSNIJERA Editor
Recent advancements in technology, tiny size, cost effectiveness have made sensors as a crucial part of real
world sensitive applications. These sensor nodes are scattered over an area to monitor the situations like fire,
flood and record the data and to forward meaningful data to the center head node for observation, resulting an
advance prompt to control the situation. In last decade, WSN have grown significantly in variety of areas and
applications, resulted the high, consistent security mechanism. Also, there is variety of attacks on WSN at their
different layers of architecture. Though sensor nodes are not capable enough in terms of power, processing etc.
but applications based on these sensors demand on-time collection of information or data and then to send same
on reliable, secure delivery medium. Small sensors with limited hardware, processing cannot afford traditional
security mechanisms to face or sustain the attacks. There is variety of attacks at different layers of WSN
architecture to affect sensor‟s roles like signaling, framing, transmission etc. Many Denial of Service (DoS)
attacks are identified at each layer of WSN which are purposeful, planned attacks to hamper the availability of
service, restricting the sensor node‟s utility for problem solution. In this paper we will focus on the WSN
architecture, characteristics, constraints and various types of DoS attacks primarily on physical and data link
layer and particularly at network layer in details with some suggestions against attacks.
This document proposes improving infrastructure as a service (IaaS) cloud computing by overlapping on-demand resource allocation with opportunistic provisioning of cycles from idle cloud nodes. It extends the Nimbus cloud computing toolkit to deploy backfill virtual machines on idle nodes for high throughput computing workloads. Evaluation shows backfill VMs can increase cloud infrastructure utilization from 38.5% to 100% with only 6.39% overhead for processing workloads, benefiting both cloud providers and users.
The document discusses applying the Box-Jenkins ARIMA model to forecast crime, specifically counterfeiting crimes in Gujarat State, India. It provides background on time series forecasting and the ARIMA model. The key steps taken were:
1) The crime data for counterfeiting crimes in Gujarat State was obtained and organized as a time series.
2) The ARIMA model was applied to the time series data to identify the appropriate ARIMA(p,d,q) structure and make a short-term forecast of future counterfeiting crimes.
3) The results and conclusions of forecasting counterfeiting crimes with the ARIMA model are discussed
1) The document presents a new algorithm for defining and segmenting regions in medical images, specifically mammography images, for content-based image compression purposes.
2) The algorithm uses a "division, domination, and quad tree" approach to recursively divide images into regions coded with 0s, 1s, and Ps to represent filled, empty, and further-divided regions.
3) The algorithm provides advantages over other region descriptor methods like chain codes and Fourier descriptors by being less computationally complex, more flexible to transformations, and producing shorter region codes.
This document summarizes an algorithm called ESW-FI that efficiently mines frequent itemsets from data streams using a sliding window model. The algorithm actively maintains potentially frequent itemsets in a compact data structure using only a single pass over the data. This is an improvement over existing algorithms that require multiple scans or maintaining all transaction data within the window. The ESW-FI algorithm guarantees output quality and bounds memory usage while processing streams of continuous, unpredictable data in a timely manner.
The document summarizes research on designing local oscillator circuits using FinFET and single-electron transistor (SET) technologies. It describes the structures and operating principles of FinFETs and SETs. Specifically, it discusses how three-stage ring oscillators were designed using both FinFETs and SETs in circuit simulation software. For the SET-based oscillator, output waveform fluctuations were observed initially but stabilized over time, while the FinFET-based circuit was more stable. The calculated frequencies were 40.2 GHz for the SET oscillator and 38.6 GHz for the FinFET oscillator.
The document discusses orthogonal frequency division multiplexing (OFDM) for wireless broadband applications. It describes OFDM as a transmission technique that divides the available bandwidth into multiple orthogonal subcarriers. This allows for high data rates and spectral efficiency while maintaining robustness to multipath fading and intersymbol interference. The key components of an OFDM system include error correction coding, modulation of the subcarriers, serial-to-parallel conversion, inverse fast Fourier transform (IFFT) at the transmitter, addition of a cyclic prefix, parallel-to-serial conversion, digital-to-analog conversion, transmission over a channel, analog-to-digital conversion, removal of the cyclic prefix, fast Fourier transform (FFT) at the receiver, and
This document summarizes a literature review on the use of online discussion forums in e-learning. It discusses how discussion forums are used for communication and informal learning. It reviews several papers on discussion forum design, features like posting and commenting, and challenges like information overload. Research gaps identified include finding quality content among excessive data and addressing invalid, replicated, and login-required pages. Future work could aggregate distributed forum data in one place and combine forums with other web 2.0 tools and social networks to enhance e-learning.
This document discusses using an improved ID3 algorithm with Havrda and Charvat entropy instead of Shannon entropy for intrusion detection and classification. The ID3 decision tree algorithm is used to build an effective decision tree from network data to detect known and unknown attacks. Experiments on the KDD99 intrusion detection dataset show the improved algorithm achieves over 97% detection accuracy while reducing false positives compared to other methods.
This document compares memetic algorithms and particle swarm optimization (PSO) for optimizing multi-job shop scheduling problems. It proposes a memetic algorithm that combines a customized genetic algorithm with a local search algorithm. The genetic algorithm uses new selection, crossover, and mutation operators. An experimental study on a benchmark multi-job shop scheduling problem shows the memetic algorithm performs better than a simple genetic algorithm and PSO. The versatility of the memetic algorithm is demonstrated by comparing its results to those other algorithms.
This document summarizes a study on digital forensics. It discusses the tools used in digital forensics including DriveSpy and Forensic Tool Kit (FTK). It outlines the digital evidence collection process as: 1) Identify systems involved and likely relevant evidence, 2) Collect, observe and preserve evidence following order of volatility, 3) Analyze, identify and rebuild evidence while verifying results. Common reasons for needing digital forensics are discussed like unauthorized access, denial of service attacks, and virus/worm/Trojan attacks. Strategies for computer forensics include preserving evidence without altering it, authenticating recovered evidence, and analyzing without modification. Tools like EnCase are also summarized that perform functions like data acquisition
This document discusses various types of traditional and new malware, including worms. It describes how worms propagate by exploiting vulnerabilities to infect other systems. Specifically, it examines the Code Red, Slammer, and Witty/Sasser worms, noting how Code Red was latency-limited while Slammer was able to achieve extremely fast propagation speeds due to being bandwidth-limited. The document also briefly mentions the Sobig worms. Host-based and network-based detection techniques are discussed as ways to detect not only worms but other malware attacks.
This document presents a method for analyzing mammographic images to classify breast tissue as normal, benign, or malignant. It uses Gabor filtering to extract texture features, principal component analysis (PCA) to reduce dimensionality, and support vector machines (SVM) for classification. Gabor filters at low and high frequencies are applied to image patches. PCA is then used to reduce the features to the top 10 components. SVMs are trained on labeled data and used to classify unlabeled test images. The method achieved a maximum recognition rate of 84.375% when using low frequency Gabor filters with all orientations followed by PCA dimensionality reduction.
This document proposes a new mixed-style architecture for reducing power in multipliers. It combines a traditional Wallace tree-based part with a bypass array-based part. Simulations show the mixed architecture offers up to a 6.5x improvement in delay-power product compared to traditional array and Wallace tree multipliers. The mixed style exploits low power benefits of bypassing in arrays and performance benefits of Wallace trees.
Wireless sensor networks for disaster managmentEditor IJARCET
This document summarizes a journal article about using wireless sensor networks for disaster management. It discusses several potential applications:
1) Flood detection networks that monitor water levels and send alerts.
2) Forest fire detection networks that use sensors to detect temperature, smoke and send alerts.
3) Earthquake detection networks that use sensor data to detect earthquakes and estimate their magnitude.
4) Tsunami detection networks that use underwater pressure sensors to detect tsunamis and activate barriers.
5) Drought forecasting networks that use sensors to monitor factors like rainfall and temperature to predict drought and send alerts.
Nymble blocking misbehaviouring users in anonymizing networksMuthu Samy
This document proposes Nymble, a system that allows servers to block misbehaving anonymous users of anonymizing networks while preserving user anonymity. The system uses "nymbles", special pseudonyms, to authenticate users anonymously. Servers can blacklist users by obtaining seeds that link future nymbles from the same user, while prior connections remain unlinkable. Users check blacklists before connecting to ensure they are not blocked. Nymble aims to balance anonymous access for well-behaving users with accountability for misusers, addressing limitations of prior solutions. It has been implemented and aims to enable practical anonymous publishing applications.
Nymble blocking misbehaviouring users in anonymizing networksMuthu Samy
Sybian Technologies Pvt Ltd
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Contact Details:
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Nymble blocking misbehaviouring users in anonymizing networksMuthu Samy
Sybian Technologies Pvt Ltd
Final Year Projects & Real Time live Projects
JAVA(All Domains)
DOTNET(All Domains)
ANDROID
EMBEDDED
VLSI
MATLAB
Project Support
Abstract, Diagrams, Review Details, Relevant Materials, Presentation,
Supporting Documents, Software E-Books,
Software Development Standards & Procedure
E-Book, Theory Classes, Lab Working Programs, Project Design & Implementation
24/7 lab session
Final Year Projects For BE,ME,B.Sc,M.Sc,B.Tech,BCA,MCA
PROJECT DOMAIN:
Cloud Computing
Networking
Network Security
PARALLEL AND DISTRIBUTED SYSTEM
Data Mining
Mobile Computing
Service Computing
Software Engineering
Image Processing
Bio Medical / Medical Imaging
Contact Details:
Sybian Technologies Pvt Ltd,
No,33/10 Meenakshi Sundaram Building,
Sivaji Street,
(Near T.nagar Bus Terminus)
T.Nagar,
Chennai-600 017
Ph:044 42070551
Mobile No:9790877889,9003254624,7708845605
Mail Id:sybianprojects@gmail.com,sunbeamvijay@yahoo.com
S.A.kalaiselvan blocking misbehaving users in anonymizingkalaiselvanresearch
This document summarizes the Nymble system, which allows servers to blacklist misbehaving anonymous users of anonymizing networks like Tor while preserving user anonymity. The system uses pseudonyms called "nymbles" that are linked to user resources like IP addresses. Users obtain nymbles from a Pseudonym Manager and Nymble Manager to connect anonymously to servers. If a user misbehaves, the server can obtain a "seed" for that user's nymble, allowing it to link that user's future connections within a time window. The system ensures users are notified if blacklisted before connecting anonymously. The document outlines the system components, blacklisting process, and improvements made since an earlier paper that enhance user privacy
The document proposes tweaks to the Nymble system to improve its efficiency in handling adversaries on anonymizing networks. The Nymble system uses a series of routers to hide a user's IP address, but this causes high computation overhead. The proposed tweaks use a series of mix servers and proxy repositories instead of routers to hide IP addresses. This reduces the number of algorithms needed to synchronize target servers from 16 to 10, lowering computation costs. The tweaks also extend the Pseudonym Manager to allocate proxies instead of hiding IP addresses. This mix server-based approach improves anonymization network efficiency while still effectively identifying misbehaving users.
International Journal of Engineering Research and Applications (IJERA) is an open access online peer reviewed international journal that publishes research and review articles in the fields of Computer Science, Neural Networks, Electrical Engineering, Software Engineering, Information Technology, Mechanical Engineering, Chemical Engineering, Plastic Engineering, Food Technology, Textile Engineering, Nano Technology & science, Power Electronics, Electronics & Communication Engineering, Computational mathematics, Image processing, Civil Engineering, Structural Engineering, Environmental Engineering, VLSI Testing & Low Power VLSI Design etc.
Nymble:Blocking misbehaving users in annoying networks(Link)Mysa Vijay
This document presents a system called Nymble that aims to address the problem of blocking misbehaving anonymous users on anonymizing networks like Tor while preserving user privacy. The key properties of Nymble include anonymous authentication, backward unlinkability, subjective blacklisting, fast authentication speeds, and addressing the Sybil attack. Nymble works by having users acquire an ordered collection of "nymbles", a special type of pseudonym, to connect to websites. Websites can blacklist users by obtaining a seed to link a user's future nymbles, while past nymbles remain unlinkable. The document describes the modules of Nymble manager and pseudonym manager and compares Nymble to existing approaches like dynamic accumulators and verifier-local
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This document discusses a system called Nymble that allows servers to blacklist misbehaving anonymous users of anonymizing networks like Tor while still preserving the anonymity of blacklisted users. Nymble uses pseudonyms called nymbles that are computationally difficult to link, simulating anonymous access. However, servers can blacklist users by obtaining a seed to link future nymbles from that user, blocking them specifically. This allows servers to deny access to misbehaving anonymous users without knowledge of their IP addresses, addressing the problem where servers currently block all exit nodes of anonymizing networks in response to misuse.
Nymble: Blocking Misbehaving Users In Anonymizing NetworksIOSR Journals
The advent of anonymizing networks assured that users could access internet services with complete
privacy avoiding any possible hindrance. This arrangement where series of routers form a network, hide the
user’s IP address from the server. However malfeasance of few malpractitioners has left this system with a
loophole where users make use of this anonymity to deface popular websites. Administrators who cannot
practically block a user using IP address are forced to shut all possible nodes that lead to exit. Thus deny access
to both behaving and non-behavingusers altogether. And so end up blocking users with no compromise to their
anonymity. Hence we propose a system which is undogmatic with different servers. Thus we aim at giving the
administrator the right to block the malicious user without hindering the anonymity of the rest.
blocking misbehaving users in anonymizing networks full ppt with screenshots ...dinesh krishna
The document summarizes the Nymble system, which allows website administrators to blacklist misbehaving anonymous users without compromising their anonymity. Nymble uses a pseudonym manager and nymble manager to issue pseudonyms and nymbles (special pseudonyms) tied to user-controlled resources. This allows administrators to blacklist individual users by obtaining a seed to link future nymbles from a blacklisted user, while past nymbles remain unlinkable. The system provides anonymous authentication, backward unlinkability, subjective blacklisting abilities and addresses Sybil attacks to enable practical deployment.
Blocking Misbehaving Users In Anonymizing Network(1st review)dinesh krishna
The document describes a system called Nymble that allows website administrators to blacklist misbehaving anonymous users without compromising their anonymity. Nymble uses pseudonyms and nymbles, which are computationally hard to link, to simulate anonymous access. While past nymbles remain unlinkable, administrators can obtain a seed to link future nymbles from blacklisted users. This allows blocking of misbehaving anonymous users while preserving the privacy of behaving users.
The document discusses a three-tier architecture for web applications with clients, application servers, and databases. It proposes a system called Double Guard that uses lightweight virtualization to assign each user session to an isolated container. This allows Double Guard to build models of normal network behavior that capture the relationship between front-end web requests and back-end database queries, enabling it to detect attacks. The document outlines limitations of existing intrusion detection systems in multi-tier environments and the objectives of the Double Guard system.
IRJET- Software Defined Network: DDOS Attack DetectionIRJET Journal
This document discusses software defined networks (SDNs) and detecting distributed denial-of-service (DDoS) attacks in SDNs. It provides background on SDN architecture and how DDoS attacks work. The paper aims to address risks of DDoS attacks in SDNs and focuses on detection. It describes existing DDoS attack techniques and solutions. The document proposes using algorithms like TCM-KNN and DPTCM-KNN for detection of attacks in network traffic flows, and compares the two algorithms using parameters like packet length and response time.
A Novel Method for Blocking Misbehaving Users over Anonymizing 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.
International Journal of Modern Engineering Research (IJMER) covers all the fields of engineering and science: Electrical Engineering, Mechanical Engineering, Civil Engineering, Chemical Engineering, Computer Engineering, Agricultural Engineering, Aerospace Engineering, Thermodynamics, Structural Engineering, Control Engineering, Robotics, Mechatronics, Fluid Mechanics, Nanotechnology, Simulators, Web-based Learning, Remote Laboratories, Engineering Design Methods, Education Research, Students' Satisfaction and Motivation, Global Projects, and Assessment…. And many more.
Employment Feedback by Securing Data using Anonymous AuthenticationIRJET Journal
This document summarizes a research paper that proposes a method for anonymous user authentication and access control of securely stored data in cloud computing. The method aims to ensure user anonymity while authenticating users and allowing flexible access control. It uses attribute-based signatures to authenticate users without revealing their identities. The access control scheme is decentralized and can revoke user access. It also aims to automatically send any uploaded evidence or reports directly to relevant organizations if the original user is unable to post it, while still maintaining user anonymity. The document discusses concepts like anonymous communication, privacy and the AES encryption algorithm used in the proposed method.
EFFICIENT IDENTIFICATION AND REDUCTION OF MULTIPLE ATTACKS ADD VICTIMISATION ...IRJET Journal
This document discusses efficient identification and reduction of multiple attacks in IoT networks using deep learning techniques. It proposes a Deep Learning based secure RPL routing (DLRP) protocol to detect attacks like rank, version number, and Denial of Service attacks. The DLRP protocol first creates a complex dataset of normal and attack behaviors using network simulation. It then trains a machine learning model using this dataset to efficiently identify attack behaviors. Additionally, it classifies attack types using a Generative Adversarial Network to reduce the dataset dimensionality. Simulation results show the DLRP protocol improves attack detection accuracy and fits IoT environments well, achieving 80% packet delivery ratio using only 1474 control packets in a 30 node IoT scenario.
Blocking misbehaving users in anonymizing network-project ppt*dinesh krishna
Anonymizing networks such as Tor allow users to access Internet services privately by using a series of routers to hide the client’s IP address from the server. The success of such networks, however, has been limited by users employing this anonymity for abusive purposes such as defacing popular websites. Website administrators routinely rely on IP-address blocking for disabling access to misbehaving users, but blocking IP addresses is not practical if the abuser routes through an anonymizing network. As a result, administrators block all known exit nodes of anonymizing networks, denying anonymous access to misbehaving and behaving users alike. To address this problem, we present Nymble, a system in which servers can “blacklist” misbehaving users, thereby blocking users without compromising their anonymity. Our system is thus agnostic to different servers’ definitions of misbehavior — servers can blacklist users for whatever reason, and the privacy of blacklisted users is maintained.
IRJET- Nebula and Cloud Computing – Analyzing all Aspects of Both EntitiesIRJET Journal
The document analyzes nebula and cloud computing by comparing their aspects. It discusses how nebula, which uses distributed voluntary resources donated by end users, can address some of the limitations of current cloud services. Nebula aims to provide more adaptable, low cost and distributed alternatives for users with varying needs that are not fully met by existing cloud platforms. The objectives of nebula include leveraging large numbers of existing volunteer resources to provide diverse storage and deployment options while keeping costs negligible. This is described as providing more options for users in terms of speed, data movement costs and other factors compared to rigid plans of major cloud providers.
A survey on cloud security issues and techniquesijcsa
This document summarizes security issues and techniques related to cloud computing. It discusses common cloud security threats such as multi-tenancy, elasticity, insider and outsider attacks, loss of control, data loss, network attacks, malware injection, and flooding attacks. The document also outlines techniques for securing data in the cloud, including authentication, encryption, privacy, availability, and information management. Finally, it briefly discusses cloud computing security standards like SAML, OAuth, OpenID and SSL/TLS.
Electrically small antennas: The art of miniaturizationEditor IJARCET
We are living in the technological era, were we preferred to have the portable devices rather than unmovable devices. We are isolating our self rom the wires and we are becoming the habitual of wireless world what makes the device portable? I guess physical dimensions (mechanical) of that particular device, but along with this the electrical dimension is of the device is also of great importance. Reducing the physical dimension of the antenna would result in the small antenna but not electrically small antenna. We have different definition for the electrically small antenna but the one which is most appropriate is, where k is the wave number and is equal to and a is the radius of the imaginary sphere circumscribing the maximum dimension of the antenna. As the present day electronic devices progress to diminish in size, technocrats have become increasingly concentrated on electrically small antenna (ESA) designs to reduce the size of the antenna in the overall electronics system. Researchers in many fields, including RF and Microwave, biomedical technology and national intelligence, can benefit from electrically small antennas as long as the performance of the designed ESA meets the system requirement.
This document provides a comparative study of two-way finite automata and Turing machines. Some key points:
- Two-way finite automata are similar to read-only Turing machines in that they have a finite tape that can be read in both directions, but cannot write to the tape.
- Turing machines have an infinite tape that can be read from and written to, allowing them to recognize recursively enumerable languages.
- Both models are examined in their ability to accept the regular language L={anbm|m,n>0}.
- The time complexity of a two-way finite automaton for this language is O(n2) due to making two passes over the
This document analyzes and compares the performance of the AODV and DSDV routing protocols in a vehicular ad hoc network (VANET) simulation. Simulations were conducted using NS-2, SUMO, and MOVE simulators for a grid map scenario with varying numbers of nodes. The results show that AODV performed better than DSDV in terms of throughput and packet delivery fraction, while DSDV had lower end-to-end delays. However, neither protocol was found to be fully suitable for the highly dynamic VANET environment. The document concludes that further work is needed to develop improved routing protocols optimized for VANETs.
This document discusses the digital circuit layout problem and approaches to solving it using graph partitioning techniques. It begins by introducing the digital circuit layout problem and how it has become more complex with increasing circuit sizes. It then discusses how the problem can be decomposed into subproblems using graph partitioning to assign geometric coordinates to circuit components. The document reviews several traditional approaches to solve the problem, such as the Kernighan-Lin algorithm, and discusses their limitations for larger circuit sizes. It also discusses more recent approaches using evolutionary algorithms and concludes by analyzing the contributions of various approaches.
This document summarizes various data mining techniques that have been used for intrusion detection systems. It first describes the architecture of a data mining-based IDS, including sensors to collect data, detectors to evaluate the data using detection models, a data warehouse for storage, and a model generator. It then discusses supervised and unsupervised learning approaches that have been applied, including neural networks, support vector machines, K-means clustering, and self-organizing maps. Finally, it reviews several related works applying these techniques and compares their results, finding that combinations of approaches can improve detection rates while reducing false alarms.
This document provides an overview of speech recognition systems and recent progress in the field. It discusses different types of speech recognition including isolated word, connected word, continuous speech, and spontaneous speech. Various techniques used in speech recognition are also summarized, such as simulated evolutionary computation, artificial neural networks, fuzzy logic, Kalman filters, and Hidden Markov Models. The document reviews several papers published between 2004-2012 that studied speech recognition methods including using dynamic spectral subband centroids, Kalman filters, biomimetic computing techniques, noise estimation, and modulation filtering. It concludes that Hidden Markov Models combined with MFCC features provide good recognition results for large vocabulary, speaker-independent, continuous speech recognition.
This document discusses integrating two assembly lines, Line A and Line B, based on lean line design concepts to reduce space and operators. It analyzes the current state of the lines using tools like takt time analysis and MTM/UAS studies. Improvements are identified to eliminate waste, including methods improvements, workplace rearrangement, ergonomic changes, and outsourcing. Paper kaizen is conducted and work elements are retimed. The goal is to integrate the lines to better utilize space and manpower while meeting manufacturing standards.
This document summarizes research on the exposure of microwaves from cellular networks. It describes how microwaves interact with biological systems and discusses measurement techniques and safety standards regarding microwave exposure. While some studies have alleged health hazards from microwaves, independent reviews by health organizations have found no evidence that exposure to microwaves below international safety limits causes harm. The document concludes that with precautions like limiting exposure time and using phones with lower SAR ratings, microwaves from cell phones pose minimal health risks.
This document summarizes a research paper that examines the effect of feature reduction in sentiment analysis of online reviews. It uses principle component analysis to reduce the number of features (product attributes) from a dataset of 500 camera reviews labeled as positive or negative. Two models are developed - one using the original set of 95 product attributes, and one using the reduced set. Support vector machines and naive Bayes classifiers are applied to both models and their performance is evaluated to determine if classification accuracy can be maintained while using fewer features. The results show it is possible to achieve similar accuracy levels with less features, improving computational efficiency.
This document provides a review of multispectral palm image fusion techniques. It begins with an introduction to biometrics and palm print identification. Different palm print images capture different spectral information about the palm. The document then reviews several pixel-level fusion methods for combining multispectral palm images, finding that Curvelet transform performs best at preserving discriminative patterns. It also discusses hardware for capturing multispectral palm images and the process of region of interest extraction and localization. Common fusion methods like wavelet transform and Curvelet transform are also summarized.
This document describes a vehicle theft detection system that uses radio frequency identification (RFID) technology. The system involves embedding an RFID chip in each vehicle that continuously transmits a unique identification signal. When a vehicle is stolen, the owner reports it to the police, who upload the vehicle's information to a central database. Police vehicles are equipped with RFID receivers. If a stolen vehicle passes within range of a receiver, the receiver detects the vehicle's ID signal and displays its details on a tablet. This allows police to quickly identify and recover stolen vehicles. The system aims to make it difficult for thieves to hide a vehicle's identity and allows vehicles to be tracked globally wherever the detection system is implemented.
This document discusses and compares two techniques for image denoising using wavelet transforms: Dual-Tree Complex DWT and Double-Density Dual-Tree Complex DWT. Both techniques decompose an image corrupted by noise using filter banks, apply thresholding to the wavelet coefficients, and reconstruct the image. The Double-Density Dual-Tree Complex DWT yields better denoising results than the Dual-Tree Complex DWT as it produces more directional wavelets and is less sensitive to shifts and noise variance. Experimental results on test images demonstrate that the Double-Density method achieves higher peak signal-to-noise ratios, especially at higher noise levels.
This document compares the k-means and grid density clustering algorithms. It summarizes that grid density clustering determines dense grids based on the densities of neighboring grids, and is able to handle different shaped clusters in multi-density environments. The grid density algorithm does not require distance computation and is not dependent on the number of clusters being known in advance like k-means. The document concludes that grid density clustering is better than k-means clustering as it can handle noise and outliers, find arbitrary shaped clusters, and has lower time complexity.
This document proposes a method for detecting, localizing, and extracting text from videos with complex backgrounds. It involves three main steps:
1. Text detection uses corner metric and Laplacian filtering techniques independently to detect text regions. Corner metric identifies regions with high curvature, while Laplacian filtering highlights intensity discontinuities. The results are combined through multiplication to reduce noise.
2. Text localization then determines the accurate boundaries of detected text strings.
3. Text binarization filters background pixels to extract text pixels for recognition. Thresholding techniques are used to convert localized text regions to binary images.
The method exploits different text properties to detect text using corner metric and Laplacian filtering. Combining the results improves
This document describes the design and implementation of a low power 16-bit arithmetic logic unit (ALU) using clock gating techniques. A variable block length carry skip adder is used in the arithmetic unit to reduce power consumption and improve performance. The ALU uses a clock gating circuit to selectively clock only the active arithmetic or logic unit, reducing dynamic power dissipation from unnecessary clock charging/discharging. The ALU was simulated in VHDL and synthesized for a Xilinx Spartan 3E FPGA, achieving a maximum frequency of 65.19MHz at 1.98mW power dissipation, demonstrating improved performance over a conventional ALU design.
This document describes using particle swarm optimization (PSO) and genetic algorithms (GA) to tune the parameters of a proportional-integral-derivative (PID) controller for an automatic voltage regulator (AVR) system. PSO and GA are used to minimize the objective function by adjusting the PID parameters to achieve optimal step response with minimal overshoot, settling time, and rise time. The results show that PSO provides high-quality solutions within a shorter calculation time than other stochastic methods.
This document discusses implementing trust negotiations in multisession transactions. It proposes a framework that supports voluntary and unexpected interruptions, allowing negotiating parties to complete negotiations despite temporary unavailability of resources. The Trust-x protocol addresses issues related to validity, temporary loss of data, and extended unavailability of one negotiator. It allows a peer to suspend an ongoing negotiation and resume it with another authenticated peer. Negotiation portions and intermediate states can be safely and privately passed among peers to guarantee stability for continued suspended negotiations. An ontology is also proposed to provide formal specification of concepts and relationships, which is essential in complex web service environments for sharing credential information needed to establish trust.
This document discusses and compares various nature-inspired optimization algorithms for resolving the mixed pixel problem in remote sensing imagery, including Biogeography-Based Optimization (BBO), Genetic Algorithm (GA), and Particle Swarm Optimization (PSO). It provides an overview of each algorithm, explaining key concepts like migration and mutation in BBO. The document aims to prove that BBO is the best algorithm for resolving the mixed pixel problem by comparing it to other evolutionary algorithms. It also includes figures illustrating concepts like the species model and habitat in BBO.
This document discusses principal component analysis (PCA) for face recognition. It begins with an introduction to face recognition and PCA. PCA works by calculating eigenvectors from a set of face images, which represent the principal components that account for the most variance in the image data. These eigenvectors are called "eigenfaces" and can be used to reconstruct the face images. The document then discusses how the system is implemented, including preparing a face database, normalizing the training images, calculating the eigenfaces/principal components, projecting the face images into this reduced space, and recognizing faces by calculating distances between projected test images and training images.
This document summarizes research on using wireless sensor networks to detect mobile targets. It discusses two optimization problems: 1) maximizing the exposure of the least exposed path within a sensor budget, and 2) minimizing sensor installation costs while ensuring all paths have exposure above a threshold. It proposes using tabu search heuristics to provide near-optimal solutions. The research also addresses extending the models to consider wireless connectivity, heterogeneous sensors, and intrusion detection using a game theory approach. Experimental results show the proposed mobile replica detection scheme can rapidly detect replicas with no false positives or negatives.
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.
“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.
Cosa hanno in comune un mattoncino Lego e la backdoor XZ?Speck&Tech
ABSTRACT: A prima vista, un mattoncino Lego e la backdoor XZ potrebbero avere in comune il fatto di essere entrambi blocchi di costruzione, o dipendenze di progetti creativi e software. La realtà è che un mattoncino Lego e il caso della backdoor XZ hanno molto di più di tutto ciò in comune.
Partecipate alla presentazione per immergervi in una storia di interoperabilità, standard e formati aperti, per poi discutere del ruolo importante che i contributori hanno in una comunità open source sostenibile.
BIO: Sostenitrice del software libero e dei formati standard e aperti. È stata un membro attivo dei progetti Fedora e openSUSE e ha co-fondato l'Associazione LibreItalia dove è stata coinvolta in diversi eventi, migrazioni e formazione relativi a LibreOffice. In precedenza ha lavorato a migrazioni e corsi di formazione su LibreOffice per diverse amministrazioni pubbliche e privati. Da gennaio 2020 lavora in SUSE come Software Release Engineer per Uyuni e SUSE Manager e quando non segue la sua passione per i computer e per Geeko coltiva la sua curiosità per l'astronomia (da cui deriva il suo nickname deneb_alpha).
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
Infrastructure Challenges in Scaling RAG with Custom AI modelsZilliz
Building Retrieval-Augmented Generation (RAG) systems with open-source and custom AI models is a complex task. This talk explores the challenges in productionizing RAG systems, including retrieval performance, response synthesis, and evaluation. We’ll discuss how to leverage open-source models like text embeddings, language models, and custom fine-tuned models to enhance RAG performance. Additionally, we’ll cover how BentoML can help orchestrate and scale these AI components efficiently, ensuring seamless deployment and management of RAG systems in the cloud.
Things to Consider When Choosing a Website Developer for your Website | FODUUFODUU
Choosing the right website developer is crucial for your business. This article covers essential factors to consider, including experience, portfolio, technical skills, communication, pricing, reputation & reviews, cost and budget considerations and post-launch support. Make an informed decision to ensure your website meets your business goals.
Your One-Stop Shop for Python Success: Top 10 US Python Development Providersakankshawande
Simplify your search for a reliable Python development partner! This list presents the top 10 trusted US providers offering comprehensive Python development services, ensuring your project's success from conception to completion.
Monitoring and Managing Anomaly Detection on OpenShift.pdfTosin Akinosho
Monitoring and Managing Anomaly Detection on OpenShift
Overview
Dive into the world of anomaly detection on edge devices with our comprehensive hands-on tutorial. This SlideShare presentation will guide you through the entire process, from data collection and model training to edge deployment and real-time monitoring. Perfect for those looking to implement robust anomaly detection systems on resource-constrained IoT/edge devices.
Key Topics Covered
1. Introduction to Anomaly Detection
- Understand the fundamentals of anomaly detection and its importance in identifying unusual behavior or failures in systems.
2. Understanding Edge (IoT)
- Learn about edge computing and IoT, and how they enable real-time data processing and decision-making at the source.
3. What is ArgoCD?
- Discover ArgoCD, a declarative, GitOps continuous delivery tool for Kubernetes, and its role in deploying applications on edge devices.
4. Deployment Using ArgoCD for Edge Devices
- Step-by-step guide on deploying anomaly detection models on edge devices using ArgoCD.
5. Introduction to Apache Kafka and S3
- Explore Apache Kafka for real-time data streaming and Amazon S3 for scalable storage solutions.
6. Viewing Kafka Messages in the Data Lake
- Learn how to view and analyze Kafka messages stored in a data lake for better insights.
7. What is Prometheus?
- Get to know Prometheus, an open-source monitoring and alerting toolkit, and its application in monitoring edge devices.
8. Monitoring Application Metrics with Prometheus
- Detailed instructions on setting up Prometheus to monitor the performance and health of your anomaly detection system.
9. What is Camel K?
- Introduction to Camel K, a lightweight integration framework built on Apache Camel, designed for Kubernetes.
10. Configuring Camel K Integrations for Data Pipelines
- Learn how to configure Camel K for seamless data pipeline integrations in your anomaly detection workflow.
11. What is a Jupyter Notebook?
- Overview of Jupyter Notebooks, an open-source web application for creating and sharing documents with live code, equations, visualizations, and narrative text.
12. Jupyter Notebooks with Code Examples
- Hands-on examples and code snippets in Jupyter Notebooks to help you implement and test anomaly detection models.
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.
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.
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!