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For further details contact: N.RAJASEKARAN B.E M.S 9841091117,9840103301. IMPULSE TECHNOLOGIES, Old No 251, New No 304, 2nd Floor, Arcot road , Vadapalani , Chennai-26. www.impulse.net.in Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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55
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
23
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
IEEE Projects 2012-2013 Network Security
IEEE Projects 2012, IEEE Projects, IEEE Projects 2012 Network Security, IEEE Projects 2013 Network Security,
Network security java ieee projects 2012 @ Seabirds ( Trichy, Pudukkottai, Ta...
This document provides summaries of 7 IEEE papers from 2012 related to software projects in various domains such as Java, J2ME, J2EE, .NET, MATLAB and NS2. The papers discuss topics such as password security, data provenance, trust-aware routing in wireless sensor networks, content distribution via network coding, detecting insider threats, secure message passing interfaces, and the security of an anonymity system with traceability.
Mobile computing java ieee projects 2012 Seabirds ( Chennai, Pondicherry, Vel...
SBGC provides IEEE projects for students in various domains including Java, J2ME, J2EE, .NET and MATLAB. It offers projects in categories 1) with new ideas/papers and 2) selecting from their project list. They ensure projects are fully implemented and students understand all aspects. SBGC provides latest IEEE projects for students in many engineering and technology fields as well as business and science. It has training and R&D divisions to help students become job ready. Project deliverables include abstracts, papers, materials, presentations, reports, procedures, explanations and certificates.
14
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
42
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Iaetsd secure data dissemination based on
This document proposes a secure data dissemination protocol called Se-Drip for wireless sensor networks. Se-Drip uses a Merkle hash tree to securely disseminate data from a base station to sensor nodes in the network. The protocol has three phases: 1) initialization where the base station generates keys and loads them on nodes, 2) packet preprocessing where the base station constructs data packets and their authentication paths in a Merkle hash tree, and 3) packet verification where nodes verify received packets against the hash tree to authenticate the data. Se-Drip aims to securely disseminate data while being lightweight, robust to packet loss, and resistant to denial-of-service attacks.
Recommended
55
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
23
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
IEEE Projects 2012-2013 Network Security
IEEE Projects 2012, IEEE Projects, IEEE Projects 2012 Network Security, IEEE Projects 2013 Network Security,
Network security java ieee projects 2012 @ Seabirds ( Trichy, Pudukkottai, Ta...
This document provides summaries of 7 IEEE papers from 2012 related to software projects in various domains such as Java, J2ME, J2EE, .NET, MATLAB and NS2. The papers discuss topics such as password security, data provenance, trust-aware routing in wireless sensor networks, content distribution via network coding, detecting insider threats, secure message passing interfaces, and the security of an anonymity system with traceability.
Mobile computing java ieee projects 2012 Seabirds ( Chennai, Pondicherry, Vel...
SBGC provides IEEE projects for students in various domains including Java, J2ME, J2EE, .NET and MATLAB. It offers projects in categories 1) with new ideas/papers and 2) selecting from their project list. They ensure projects are fully implemented and students understand all aspects. SBGC provides latest IEEE projects for students in many engineering and technology fields as well as business and science. It has training and R&D divisions to help students become job ready. Project deliverables include abstracts, papers, materials, presentations, reports, procedures, explanations and certificates.
14
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
42
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Iaetsd secure data dissemination based on
This document proposes a secure data dissemination protocol called Se-Drip for wireless sensor networks. Se-Drip uses a Merkle hash tree to securely disseminate data from a base station to sensor nodes in the network. The protocol has three phases: 1) initialization where the base station generates keys and loads them on nodes, 2) packet preprocessing where the base station constructs data packets and their authentication paths in a Merkle hash tree, and 3) packet verification where nodes verify received packets against the hash tree to authenticate the data. Se-Drip aims to securely disseminate data while being lightweight, robust to packet loss, and resistant to denial-of-service attacks.
18
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Final_Report
This document summarizes a student's paper on using reinforcement learning for anomaly detection in software defined networks. The student aims to use machine learning techniques, specifically reinforcement learning, to make network traffic control decisions given certain network attack scenarios. The student's methodology involves using network statistics collected from an OpenFlow switch to define states for a reinforcement learning algorithm. The algorithm is deployed on the application plane of an SDN architecture and aims to identify anomalous traffic flows based on features like flow size and packet counts, then take actions through the controller to stop anomalous traffic from affecting the network. Initial testing of the approach showed potential for detecting ping flood and SYN flood attacks on the simulated network.
Security issues performance in ad hoc oddv
This document discusses security issues with the Ad Hoc On-Demand Distance Vector (AODV) routing protocol for mobile ad hoc networks. It first provides background on AODV and security challenges in mobile ad hoc networks. It then analyzes specific attacks on AODV like traffic redirection, replay attacks, and loop formation. The document presents simulation results for a 5 node network that show that insecure AODV has good throughput but higher packet dropping and delay. It concludes that providing security for AODV is needed to address these issues.
Catching packet droppers and modifiers
The document proposes a scheme to identify packet droppers and modifiers in wireless sensor networks. It involves establishing a routing tree with the sink at the root. Each packet sender or forwarder adds a small number of packet marks. Based on these marks, the sink can determine the dropping ratio for each node and identify for sure or suspicious droppers/modifiers. Over time as node behaviors are observed in different scenarios, the sink uses ranking algorithms to gradually identify the most likely bad nodes with small false positives. The proposed scheme is effective at identifying droppers and modifiers with low overhead and works with existing filtering schemes.
Maximizing network interruption in wireless
With the colossal growth of wireless sensor networks (WSNs) in different applications starting from home
automation to military affairs, the pressure on ensuring security in such a network is paramount.
Considering the security challenges, it is really a hard-hitting effort to develop a secured WSN system.
Moreover, as the information technology is getting popular, the intruders are also planning new ideas to
break the system security, to harm the network and to make the system quality down with the target of
taking the control of the network to corrupt it or to get benefits from it anyway. The intruders corrupt the
system only when the security breaking cost (SBC) is lower compared with the benefits they attained or the
harm it can make to others. In this paper, the authors define the term “maximizing network interruption
problem” and propose a technique, called the grid point approximation algorithm, to estimate the SBC of a
multi-hop WSN so that it can be made tougher for an intruder to break the system security. It is assumed
that the intruder has the complete picture of the entire network. The technique is designed from the
intruder’s point of view for completely jamming all the sensor nodes in the network through placing
jammers or malicious nodes strategically and at the same time keeping the number of jammer nodes to
minimum or near minimum. To the best of the authors’ knowledge, there is no work proposed so far of the
same kind. Experimental results with the changes of the different network parameters show that the
proposed algorithm is able to provide excellent performances to achieve the targets.
Secure data dissemination protocol in wireless sensor networks using xor netw...
Secure data dissemination protocol in wireless sensor networks using xor netw...eSAT Publishing House
1. The document discusses a secure data dissemination protocol for wireless sensor networks using XOR network coding. It aims to achieve fast, secure, reliable and energy efficient data dissemination.
2. Wireless sensor networks require regular software updates through the wireless medium, which is known as data dissemination or network reprogramming. Existing dissemination protocols have security issues when combined with network coding techniques.
3. The proposed protocol uses simple cryptographic techniques with network coding to prevent pollution and denial of service attacks, while still achieving fast dissemination. It focuses on disseminating small data values securely and efficiently in wireless sensor networks.IRJET- SDN Multi-Controller based Framework to Detect and Mitigate DDoS i...
This document proposes a scalable framework using SDN and machine learning techniques to detect and mitigate DDoS attacks in large-scale networks. The framework uses a lightweight detection layer implemented across multiple controllers to detect anomalies locally using entropy calculations. It also includes a heavyweight detection layer in a centralized system that employs machine learning for more accurate detection. The goal is to provide robust intrusion detection that can quickly detect network attacks efficiently in large networks.
Distributed Packet Filtering Firewall for Enhanced Security In Mobile Ad-Hoc ...
The nodes in MANET are free to move in a limited grid layout without the presence of vision of the superior
authority or administration. The nodes in network are free to move in any other network at any time. That means
the nodes are join or leave the network at any instant, that's why the security is the major issue in MANET.
Routing protocols are not able to handle the malicious activities of attacker because their function is to provide
the path in between sender to receiver and route data from the path which is selected for transferring information.
This paper proposed the distributed security scheme for providing reliable path and secure communication. The
proposed bloom filtering technique is not only filtering the unwanted infected packets of routing attacker. It's
also recovered the modified data and protects IP modification with the help of new route establishment
mechanism. The proposed bloom filter is provides the secure communication and stop the attacker infection. The
Bloom filter removes the IP modified packets that shows the presence of malicious routing attacker in dynamic
network. The normal routing performance and proposed bloom filter is almost equivalent. The performance of
network is measured through performance metrics and proposed distributed security scheme provides better
performance.
Staab Itp 251 Chapter 9 Swl Case Presentation
The document discusses tasks for a wireless network management software project including selecting network management software, recommendations for installing a wireless network, and a wireless security plan. It outlines 10 tasks for the system architecture including evaluating enterprise resource planning, cost of ownership, scalability, integration, security, design, monitoring and how the tasks are related. Management is ultimately responsible for network security but everyone shares responsibility by following security practices and requirements.
Risk Assessment for Identifying Intrusion in Manet
This document presents a risk assessment approach for identifying intrusions in mobile ad hoc networks (MANETs). It proposes using Dempster-Shafer theory to combine evidence from an intrusion detection system and routing table changes to assess the risk of attacks and countermeasures. An adaptive decision module then determines the response based on the risk assessment. The approach is evaluated experimentally and shown to effectively mitigate attack damages in MANETs.
Paper1
This document discusses security challenges in wireless sensor networks. It outlines key challenges like limited energy and communication capabilities as sensors are often deployed in accessible areas. It discusses approaches for secure key establishment, privacy concerns around surveillance, threats like denial of service attacks, and the need for secure routing, intrusion detection, and data aggregation given the resource constraints of sensor networks. Research is still needed to address security challenges posed by the unique aspects of sensor network environments and applications.
Agent based intrusion detection, response and blocking using signature method...
This document discusses an approach to intrusion prevention using active networks. It proposes using agents for intrusion detection and response that are integrated with a collaborative intrusion detection system (IDS) to provide a wider array of information. Signatures are used to detect intrusions, and when detected, responses include blocking the connection to prevent further access to data. The system is intended to provide rapid detection and response to evolving network threats.
JAVA 2013 IEEE NETWORKSECURITY PROJECT Eaack—a secure intrusion detection sys...
JAVA 2013 IEEE NETWORKSECURITY PROJECT Eaack—a secure intrusion detection sys...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgEaack—a secure intrusion detection system for mane ts
The document proposes a new intrusion detection system called EAACK that is designed specifically for mobile ad hoc networks (MANETs). Existing intrusion detection systems for MANETs have weaknesses including being vulnerable to false misbehavior reports and forged acknowledgment packets. EAACK addresses these weaknesses by using digital signatures to authenticate acknowledgment packets and thereby guarantee their validity. This helps EAACK more accurately detect malicious nodes and behaviors. The system is also designed to reduce network overhead compared to previous acknowledgment-based approaches.
20
The document discusses node localizability in wireless ad hoc and sensor networks. It introduces the concept of node localizability, which allows analyzing how many nodes can be located in sparsely or moderately connected networks. The study derives necessary and sufficient conditions for node localizability to determine if a specific node can be located. Experimental results on a real-world system show that node localizability provides useful guidance for network deployment and location-based services.
52
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Resource Guid
The document discusses various components of computer networks including network interface cards, switches, routers, hubs, modems, and different types of data cables. It also covers network security concerns such as vulnerabilities in wired and wireless networks, risks associated with mobile networks, and threats posed by phishing emails and cryptojacking. The conclusion emphasizes the importance of properly setting up and managing networks to ensure security and allow for future expansion.
Discovery and verification of neighbor positions in mobile ad hoc networks
This document proposes a distributed cooperative solution for mobile nodes in an ad hoc network to discover and verify the positions of their neighbors. The solution is robust against independent and colluding adversaries. Results show the protocol can thwart over 99% of attacks under the best conditions for adversaries with minimal false positives.
Android discovery and verification of neighbor positions in mobile ad hoc ne...
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Java discovery and verification of neighbor positions in mobile ad hoc networks
This document proposes a distributed cooperative solution for mobile nodes in an ad hoc network to discover and verify the positions of their neighbors. The solution is robust against independent and colluding adversaries. Results show the protocol can thwart over 99% of attacks under the best conditions for adversaries with minimal false positives.
17
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
16
This document discusses energy-efficient strategies for cooperative multichannel MAC protocols. It introduces Distributed Information SHaring (DISH), which helps nodes make decisions by sharing information with neighboring nodes. This approach was shown to significantly increase throughput but had not addressed energy efficiency. The paper proposes two strategies: in-situ energy conscious DISH which uses existing nodes, and altruistic DISH which uses additional nodes called altruists. Evaluation shows altruistic DISH conserves 40-80% of energy, maintains throughput advantages, and more than doubles cost efficiency compared to protocols without this strategy. In-situ energy conscious DISH is only suitable in limited scenarios.
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For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Final_Report
This document summarizes a student's paper on using reinforcement learning for anomaly detection in software defined networks. The student aims to use machine learning techniques, specifically reinforcement learning, to make network traffic control decisions given certain network attack scenarios. The student's methodology involves using network statistics collected from an OpenFlow switch to define states for a reinforcement learning algorithm. The algorithm is deployed on the application plane of an SDN architecture and aims to identify anomalous traffic flows based on features like flow size and packet counts, then take actions through the controller to stop anomalous traffic from affecting the network. Initial testing of the approach showed potential for detecting ping flood and SYN flood attacks on the simulated network.
Security issues performance in ad hoc oddv
This document discusses security issues with the Ad Hoc On-Demand Distance Vector (AODV) routing protocol for mobile ad hoc networks. It first provides background on AODV and security challenges in mobile ad hoc networks. It then analyzes specific attacks on AODV like traffic redirection, replay attacks, and loop formation. The document presents simulation results for a 5 node network that show that insecure AODV has good throughput but higher packet dropping and delay. It concludes that providing security for AODV is needed to address these issues.
Catching packet droppers and modifiers
The document proposes a scheme to identify packet droppers and modifiers in wireless sensor networks. It involves establishing a routing tree with the sink at the root. Each packet sender or forwarder adds a small number of packet marks. Based on these marks, the sink can determine the dropping ratio for each node and identify for sure or suspicious droppers/modifiers. Over time as node behaviors are observed in different scenarios, the sink uses ranking algorithms to gradually identify the most likely bad nodes with small false positives. The proposed scheme is effective at identifying droppers and modifiers with low overhead and works with existing filtering schemes.
Maximizing network interruption in wireless
With the colossal growth of wireless sensor networks (WSNs) in different applications starting from home
automation to military affairs, the pressure on ensuring security in such a network is paramount.
Considering the security challenges, it is really a hard-hitting effort to develop a secured WSN system.
Moreover, as the information technology is getting popular, the intruders are also planning new ideas to
break the system security, to harm the network and to make the system quality down with the target of
taking the control of the network to corrupt it or to get benefits from it anyway. The intruders corrupt the
system only when the security breaking cost (SBC) is lower compared with the benefits they attained or the
harm it can make to others. In this paper, the authors define the term “maximizing network interruption
problem” and propose a technique, called the grid point approximation algorithm, to estimate the SBC of a
multi-hop WSN so that it can be made tougher for an intruder to break the system security. It is assumed
that the intruder has the complete picture of the entire network. The technique is designed from the
intruder’s point of view for completely jamming all the sensor nodes in the network through placing
jammers or malicious nodes strategically and at the same time keeping the number of jammer nodes to
minimum or near minimum. To the best of the authors’ knowledge, there is no work proposed so far of the
same kind. Experimental results with the changes of the different network parameters show that the
proposed algorithm is able to provide excellent performances to achieve the targets.
Secure data dissemination protocol in wireless sensor networks using xor netw...
Secure data dissemination protocol in wireless sensor networks using xor netw...eSAT Publishing House
1. The document discusses a secure data dissemination protocol for wireless sensor networks using XOR network coding. It aims to achieve fast, secure, reliable and energy efficient data dissemination.
2. Wireless sensor networks require regular software updates through the wireless medium, which is known as data dissemination or network reprogramming. Existing dissemination protocols have security issues when combined with network coding techniques.
3. The proposed protocol uses simple cryptographic techniques with network coding to prevent pollution and denial of service attacks, while still achieving fast dissemination. It focuses on disseminating small data values securely and efficiently in wireless sensor networks.IRJET- SDN Multi-Controller based Framework to Detect and Mitigate DDoS i...
This document proposes a scalable framework using SDN and machine learning techniques to detect and mitigate DDoS attacks in large-scale networks. The framework uses a lightweight detection layer implemented across multiple controllers to detect anomalies locally using entropy calculations. It also includes a heavyweight detection layer in a centralized system that employs machine learning for more accurate detection. The goal is to provide robust intrusion detection that can quickly detect network attacks efficiently in large networks.
Distributed Packet Filtering Firewall for Enhanced Security In Mobile Ad-Hoc ...
The nodes in MANET are free to move in a limited grid layout without the presence of vision of the superior
authority or administration. The nodes in network are free to move in any other network at any time. That means
the nodes are join or leave the network at any instant, that's why the security is the major issue in MANET.
Routing protocols are not able to handle the malicious activities of attacker because their function is to provide
the path in between sender to receiver and route data from the path which is selected for transferring information.
This paper proposed the distributed security scheme for providing reliable path and secure communication. The
proposed bloom filtering technique is not only filtering the unwanted infected packets of routing attacker. It's
also recovered the modified data and protects IP modification with the help of new route establishment
mechanism. The proposed bloom filter is provides the secure communication and stop the attacker infection. The
Bloom filter removes the IP modified packets that shows the presence of malicious routing attacker in dynamic
network. The normal routing performance and proposed bloom filter is almost equivalent. The performance of
network is measured through performance metrics and proposed distributed security scheme provides better
performance.
Staab Itp 251 Chapter 9 Swl Case Presentation
The document discusses tasks for a wireless network management software project including selecting network management software, recommendations for installing a wireless network, and a wireless security plan. It outlines 10 tasks for the system architecture including evaluating enterprise resource planning, cost of ownership, scalability, integration, security, design, monitoring and how the tasks are related. Management is ultimately responsible for network security but everyone shares responsibility by following security practices and requirements.
Risk Assessment for Identifying Intrusion in Manet
This document presents a risk assessment approach for identifying intrusions in mobile ad hoc networks (MANETs). It proposes using Dempster-Shafer theory to combine evidence from an intrusion detection system and routing table changes to assess the risk of attacks and countermeasures. An adaptive decision module then determines the response based on the risk assessment. The approach is evaluated experimentally and shown to effectively mitigate attack damages in MANETs.
Paper1
This document discusses security challenges in wireless sensor networks. It outlines key challenges like limited energy and communication capabilities as sensors are often deployed in accessible areas. It discusses approaches for secure key establishment, privacy concerns around surveillance, threats like denial of service attacks, and the need for secure routing, intrusion detection, and data aggregation given the resource constraints of sensor networks. Research is still needed to address security challenges posed by the unique aspects of sensor network environments and applications.
Agent based intrusion detection, response and blocking using signature method...
This document discusses an approach to intrusion prevention using active networks. It proposes using agents for intrusion detection and response that are integrated with a collaborative intrusion detection system (IDS) to provide a wider array of information. Signatures are used to detect intrusions, and when detected, responses include blocking the connection to prevent further access to data. The system is intended to provide rapid detection and response to evolving network threats.
JAVA 2013 IEEE NETWORKSECURITY PROJECT Eaack—a secure intrusion detection sys...
JAVA 2013 IEEE NETWORKSECURITY PROJECT Eaack—a secure intrusion detection sys...IEEEGLOBALSOFTTECHNOLOGIES
To Get any Project for CSE, IT ECE, EEE Contact Me @ 09849539085, 09966235788 or mail us - ieeefinalsemprojects@gmail.com-Visit Our Website: www.finalyearprojects.orgEaack—a secure intrusion detection system for mane ts
The document proposes a new intrusion detection system called EAACK that is designed specifically for mobile ad hoc networks (MANETs). Existing intrusion detection systems for MANETs have weaknesses including being vulnerable to false misbehavior reports and forged acknowledgment packets. EAACK addresses these weaknesses by using digital signatures to authenticate acknowledgment packets and thereby guarantee their validity. This helps EAACK more accurately detect malicious nodes and behaviors. The system is also designed to reduce network overhead compared to previous acknowledgment-based approaches.
20
The document discusses node localizability in wireless ad hoc and sensor networks. It introduces the concept of node localizability, which allows analyzing how many nodes can be located in sparsely or moderately connected networks. The study derives necessary and sufficient conditions for node localizability to determine if a specific node can be located. Experimental results on a real-world system show that node localizability provides useful guidance for network deployment and location-based services.
52
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
Resource Guid
The document discusses various components of computer networks including network interface cards, switches, routers, hubs, modems, and different types of data cables. It also covers network security concerns such as vulnerabilities in wired and wireless networks, risks associated with mobile networks, and threats posed by phishing emails and cryptojacking. The conclusion emphasizes the importance of properly setting up and managing networks to ensure security and allow for future expansion.
Discovery and verification of neighbor positions in mobile ad hoc networks
This document proposes a distributed cooperative solution for mobile nodes in an ad hoc network to discover and verify the positions of their neighbors. The solution is robust against independent and colluding adversaries. Results show the protocol can thwart over 99% of attacks under the best conditions for adversaries with minimal false positives.
Android discovery and verification of neighbor positions in mobile ad hoc ne...
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Java discovery and verification of neighbor positions in mobile ad hoc networks
This document proposes a distributed cooperative solution for mobile nodes in an ad hoc network to discover and verify the positions of their neighbors. The solution is robust against independent and colluding adversaries. Results show the protocol can thwart over 99% of attacks under the best conditions for adversaries with minimal false positives.
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Discovery and verification of neighbor positions in mobile ad hoc networks
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More from IMPULSE_TECHNOLOGY
17
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
16
This document discusses energy-efficient strategies for cooperative multichannel MAC protocols. It introduces Distributed Information SHaring (DISH), which helps nodes make decisions by sharing information with neighboring nodes. This approach was shown to significantly increase throughput but had not addressed energy efficiency. The paper proposes two strategies: in-situ energy conscious DISH which uses existing nodes, and altruistic DISH which uses additional nodes called altruists. Evaluation shows altruistic DISH conserves 40-80% of energy, maintains throughput advantages, and more than doubles cost efficiency compared to protocols without this strategy. In-situ energy conscious DISH is only suitable in limited scenarios.
15
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
25
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
24
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
23
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
22
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
21
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
20
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
19
CTVS is a novel data extraction and alignment method that combines tag and value similarity to extract data from query result pages. It first identifies and segments query result records in the pages and aligns them into a table with data values from the same attribute in the same column. CTVS handles cases where records are not contiguous due to auxiliary information and any nested structures within records. It also designs a new record alignment algorithm that aligns attributes pairwise and holistically using tag and value similarity. Experimental results show CTVS achieves high precision and outperforms existing methods.
18
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
16
The document discusses a new algorithm for topic mining over asynchronous text sequences. The algorithm aims to explore correlations between multiple related text sequences that may have different time stamps. It consists of two alternating steps: 1) extracting common topics from sequences based on adjusted time stamps, and 2) adjusting time stamps according to the discovered topic time distributions. The approach is evaluated on research papers and news articles, demonstrating effectiveness in identifying topics across asynchronously published documents.
15
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
14
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
13
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
12
The document presents a new approach called TSCAN for temporally summarizing topics from a collection of documents. TSCAN first derives the major themes of a topic from the eigenvectors of a temporal block association matrix. It then extracts significant events and their summaries for each theme by examining the eigenvectors. Finally, it associates the extracted events based on their temporal closeness and context similarity to form an evolution graph of the topic. Experiments on the TDT4 corpus show that temporal summaries generated by TSCAN present topics in a comprehensible form and are superior to existing summarization methods based on human references.
11
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
10
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
9
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
8
For further details contact:
N.RAJASEKARAN B.E M.S 9841091117,9840103301.
IMPULSE TECHNOLOGIES,
Old No 251, New No 304,
2nd Floor,
Arcot road ,
Vadapalani ,
Chennai-26.
www.impulse.net.in
Email: ieeeprojects@yahoo.com/ imbpulse@gmail.com
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