The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
A lightweight secure scheme for detecting provenance forgery and packet drop ...LeMeniz Infotech
The document proposes a lightweight scheme to securely transmit data provenance for sensor networks. It uses in-packet Bloom filters to encode provenance information and transmit it with data packets. This allows for provenance verification and reconstruction at the base station. The scheme also detects packet forgery and drop attacks by malicious nodes. Evaluation shows the scheme is effective and efficient with low energy and bandwidth usage.
A lightweight secure scheme for detecting provenance forgery and packet drop ...Pvrtechnologies Nellore
This document proposes a lightweight scheme for securely transmitting provenance (data history) in wireless sensor networks to detect packet forgery and loss attacks. It introduces an in-packet Bloom filter technique to encode provenance within each data packet in an efficient way. As sensor nodes forward packets, they embed their node IDs into the Bloom filter to record the forwarding path. The base station can then extract and verify the provenance from the Bloom filter to identify compromised or malicious nodes that drop packets. The scheme aims to securely transmit provenance using only low-cost operations like hash functions and message authentication codes, while previous solutions used intensive cryptography. It is evaluated analytically and experimentally to prove its effectiveness and efficiency.
Lightweight secure scheme for detecting provenance forgery and packet drop at...Pvrtechnologies Nellore
The document proposes a lightweight secure scheme to detect packet forgery and loss attacks in wireless sensor networks. It relies on in-packet Bloom filters to encode data provenance. The scheme introduces efficient mechanisms for provenance verification and reconstruction at the base station. Key generation, encryption, and signature techniques are used to securely transmit provenance information and detect suspicious data packets. The proposed technique is evaluated analytically and empirically, proving its effectiveness and efficiency in detecting attacks.
Secure data aggregation technique for wireless sensor networks in the presenc...LeMeniz Infotech
Secure data aggregation technique for wireless sensor networks in the presence of collusion attacks
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Analyzing and Securing Data Transmission in Wireless Sensor Networks through ...ijtsrd
Wireless Sensor Networks are gaining popularity in various fields and areas. But these nodes are vulnerable as they are open networks and easily accessible. The major challenge is to have a secure data transmission between the nodes. To establish a secure transmission, we require a security scheme like a cryptographic algorithm, but this also requires a secure key distribution between nodes. The WSN’s have constraints like limited area, power and memory which restrict all the categories of cryptographic algorithm. Depending upon the criteria’s and constraints, cryptographic algorithm like Elliptic Curve Cryptography ECC is best suitable for WSN’s environment. ECC has a smaller key size, high security and less computation time which makes the node an efficient crypto system. In order to protect the security of data, we propose a novel secure transmission strategy based on Cryptography. In this design, we acquire sensitive information securely so as to make use of the advantage of encryption. Our approach deal with the weakness of limitation in sensor node resources and the security threats, it is suitable for stream data in sensor nodes. The simulation experiments also demonstrate that this approach is effective in transmitting sensitive data covertly with the characteristics of lower energy consumptions and invisibility. This paper describes the implementation of ECC cryptosystem for WSN for secure key and data transmission between the nodes. Shahid Ishaq | Rashmi Raj "Analyzing & Securing Data Transmission in Wireless Sensor Networks through Cryptography Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30328.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30328/analyzing-and-securing-data-transmission-in-wireless-sensor-networks-through-cryptography-techniques/shahid-ishaq
Enhancing the Security in WSN using Three Tier Security ArchitectureAM Publications,India
Security is the main issue while setting up the WSN network for node communication. This report describes the efficient mechanism for achieving the security between node communications by creating three tier security architecture. This system implements three tier architecture with the use of two polynomial pools having sensor nodes, mobile sinks and some access points that are also sensor nodes, to get better security. Two pools are common mobile polynomial pool and common static polynomial pool. Mobile sinks and access point carries keys from common mobile polynomial pool were as, access points and sensor nodes carries keys from common static polynomial pool. Communication gets established from mobile sink to access point then from access point to sensor node that shows three tier architecture Authentication is the main aspect of the system, that is achieved by pairwise key predistribution methods and authentication of the nodes with the use of polynomial keys. Here, Mobile sink replication attack is implemented against the network. The malicious node, it is blocked. If it wants to communicate within the network then it needs to capture large no of keys from both the pools for authentication. But as the sufficient keys are not available with it, it cannot communicate with the other nodes in the network
The International Journal of Engineering & Science is aimed at providing a platform for researchers, engineers, scientists, or educators to publish their original research results, to exchange new ideas, to disseminate information in innovative designs, engineering experiences and technological skills. It is also the Journal's objective to promote engineering and technology education. All papers submitted to the Journal will be blind peer-reviewed. Only original articles will be published.
The papers for publication in The International Journal of Engineering& Science are selected through rigorous peer reviews to ensure originality, timeliness, relevance, and readability.
A lightweight secure scheme for detecting provenance forgery and packet drop ...LeMeniz Infotech
The document proposes a lightweight scheme to securely transmit data provenance for sensor networks. It uses in-packet Bloom filters to encode provenance information and transmit it with data packets. This allows for provenance verification and reconstruction at the base station. The scheme also detects packet forgery and drop attacks by malicious nodes. Evaluation shows the scheme is effective and efficient with low energy and bandwidth usage.
A lightweight secure scheme for detecting provenance forgery and packet drop ...Pvrtechnologies Nellore
This document proposes a lightweight scheme for securely transmitting provenance (data history) in wireless sensor networks to detect packet forgery and loss attacks. It introduces an in-packet Bloom filter technique to encode provenance within each data packet in an efficient way. As sensor nodes forward packets, they embed their node IDs into the Bloom filter to record the forwarding path. The base station can then extract and verify the provenance from the Bloom filter to identify compromised or malicious nodes that drop packets. The scheme aims to securely transmit provenance using only low-cost operations like hash functions and message authentication codes, while previous solutions used intensive cryptography. It is evaluated analytically and experimentally to prove its effectiveness and efficiency.
Lightweight secure scheme for detecting provenance forgery and packet drop at...Pvrtechnologies Nellore
The document proposes a lightweight secure scheme to detect packet forgery and loss attacks in wireless sensor networks. It relies on in-packet Bloom filters to encode data provenance. The scheme introduces efficient mechanisms for provenance verification and reconstruction at the base station. Key generation, encryption, and signature techniques are used to securely transmit provenance information and detect suspicious data packets. The proposed technique is evaluated analytically and empirically, proving its effectiveness and efficiency in detecting attacks.
Secure data aggregation technique for wireless sensor networks in the presenc...LeMeniz Infotech
Secure data aggregation technique for wireless sensor networks in the presence of collusion attacks
Do Your Projects With Technology Experts
To Get this projects Call : 9566355386 / 99625 88976
Visit : www.lemenizinfotech.com / www.ieeemaster.com
Mail : projects@lemenizinfotech.com
Analyzing and Securing Data Transmission in Wireless Sensor Networks through ...ijtsrd
Wireless Sensor Networks are gaining popularity in various fields and areas. But these nodes are vulnerable as they are open networks and easily accessible. The major challenge is to have a secure data transmission between the nodes. To establish a secure transmission, we require a security scheme like a cryptographic algorithm, but this also requires a secure key distribution between nodes. The WSN’s have constraints like limited area, power and memory which restrict all the categories of cryptographic algorithm. Depending upon the criteria’s and constraints, cryptographic algorithm like Elliptic Curve Cryptography ECC is best suitable for WSN’s environment. ECC has a smaller key size, high security and less computation time which makes the node an efficient crypto system. In order to protect the security of data, we propose a novel secure transmission strategy based on Cryptography. In this design, we acquire sensitive information securely so as to make use of the advantage of encryption. Our approach deal with the weakness of limitation in sensor node resources and the security threats, it is suitable for stream data in sensor nodes. The simulation experiments also demonstrate that this approach is effective in transmitting sensitive data covertly with the characteristics of lower energy consumptions and invisibility. This paper describes the implementation of ECC cryptosystem for WSN for secure key and data transmission between the nodes. Shahid Ishaq | Rashmi Raj "Analyzing & Securing Data Transmission in Wireless Sensor Networks through Cryptography Techniques" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-3 , April 2020, URL: https://www.ijtsrd.com/papers/ijtsrd30328.pdf Paper Url :https://www.ijtsrd.com/engineering/electronics-and-communication-engineering/30328/analyzing-and-securing-data-transmission-in-wireless-sensor-networks-through-cryptography-techniques/shahid-ishaq
Enhancing the Security in WSN using Three Tier Security ArchitectureAM Publications,India
Security is the main issue while setting up the WSN network for node communication. This report describes the efficient mechanism for achieving the security between node communications by creating three tier security architecture. This system implements three tier architecture with the use of two polynomial pools having sensor nodes, mobile sinks and some access points that are also sensor nodes, to get better security. Two pools are common mobile polynomial pool and common static polynomial pool. Mobile sinks and access point carries keys from common mobile polynomial pool were as, access points and sensor nodes carries keys from common static polynomial pool. Communication gets established from mobile sink to access point then from access point to sensor node that shows three tier architecture Authentication is the main aspect of the system, that is achieved by pairwise key predistribution methods and authentication of the nodes with the use of polynomial keys. Here, Mobile sink replication attack is implemented against the network. The malicious node, it is blocked. If it wants to communicate within the network then it needs to capture large no of keys from both the pools for authentication. But as the sufficient keys are not available with it, it cannot communicate with the other nodes in the network
Hierarchical Key Agreement Protocol for Wireless Sensor Networksidescitation
This document proposes a hierarchical key agreement protocol for wireless sensor networks that uses both symmetric and asymmetric cryptographic techniques. Specifically, it uses probabilistic key pre-distribution for sensor nodes within clusters to establish secure communication with low computational overhead. It uses identity-based asymmetric key distribution between cluster heads and the base station to achieve secure communication with low communication overhead. The goal is to balance security, resilience, and resource overhead of the key management protocol for the constrained sensor nodes. It provides mathematical background on bilinear pairings and elliptic curves needed to implement the identity-based cryptographic techniques.
A key management approach for wireless sensor networksZac Darcy
In this paper we presenta key management approach for wireless sensor networks. This approach
facilitating an efficient scalable post-distribution key establishment that provides different security services.
We have developed and tested this approach under TinyOs. Result shows that this approach provides
acceptable resistance against node capture attacks and replay attacks. The provision of security services is
completely transparent to the user of the WSNs. Furthermore, being highly scalable and lightweight, this
approach is appropriate to be used in a wireless sensor network of hundreds of nodes.
ENHANCED THREE TIER SECURITY ARCHITECTURE FOR WSN AGAINST MOBILE SINK REPLI...ijwmn
Recent developments on Wireless Sensor Networks have made their application in a wide range
such as military sensing and tracking, health monitoring, traffic monitoring, video surveillance and so on.
Wireless sensor nodes are restricted to computational resources, and are always deployed in a harsh,
unattended or unfriendly environment. Therefore, network security becomes a tough task and it involves
the authorization of admittance to data in a network. The problem of authentication and pair wise key
establishment in sensor networks with mobile sink is still not solved in the mobile sink replication attacks.
In q-composite key pre distribution scheme, a large number of keys are compromised by capturing a
small fraction of sensor nodes by the attacker. The attacker can easily take a control of the entire network
by deploying a replicated mobile sinks. Those mobile sinks which are preloaded with compromised keys
are used authenticate and initiate data communication with sensor node. To determine the above problem
the system adduces the three-tier security framework for authentication and pair wise key establishment
between mobile sinks and sensor nodes. The previous system used the polynomial key pre distribution
scheme for the sensor networks which handles sink mobility and continuous data delivery to the
neighbouring nodes and sinks, but this scheme makes high computational cost and reduces the life time of
sensors. In order to overcome this problem a random pair wise key pre distribution scheme is suggested
and further it helps to improve the network resilience. In addition to this an Identity Based Encryption is
used to encrypt the data and Mutual authentication scheme is proposed for the identification and
isolation of replicated mobile sink from the network.
Dotnet detection and localization of multiple spoofing attackers in wireless...Ecway Technologies
This paper proposes methods for detecting spoofing attacks in wireless networks, determining the number of attackers when multiple adversaries spoof the same node, and localizing the positions of multiple attackers. It uses the spatial correlation of received signal strength inherent in wireless transmissions to detect spoofing attacks. Cluster-based mechanisms and support vector machines are developed to determine the number of attackers by formulating it as a multiclass detection problem. Experimental results using WiFi and ZigBee networks in two buildings show the methods can achieve over 90% accuracy in determining the number of attackers and provide strong evidence of accurately localizing multiple adversaries.
IRJET- - Implementation of a Secured Approach using Dynamic Key Managemen...IRJET Journal
This document proposes a secure authentication approach for wireless sensor networks using dynamic key management and zero knowledge protocols. It begins with background on wireless sensor networks and security issues. It then describes related work on key predistribution and dynamic key management schemes. A proposed algorithm is described that uses a rekeying mechanism, zero knowledge authentication without directly transmitting secret keys, and dynamic keys that change for each authentication. Simulation results on networks of up to 25 nodes show the approach is efficient and can authenticate nodes while preventing attacks like cloning.
The document summarizes research on preserving source location privacy in wireless sensor networks. It proposes using computer-based image recognition to analyze traffic patterns and detect modified data packets. The key points are:
1) Wireless sensor networks are vulnerable to traffic analysis attacks that can reveal the location of data sources. Existing solutions have limitations like increased energy use.
2) The paper proposes using computer-based image recognition to analyze traffic and identify packets whose delivery was delayed, indicating modification by an attacker.
3) If the attacking node is identified, it would be removed from the network. This approach aims to effectively preserve source location privacy against traffic analysis attacks.
This document discusses security threats and challenges in wireless sensor networks. It outlines various threats including passive information gathering, node subversion, false nodes, node malfunctions, message corruption and denial of service attacks. It also describes different key distribution techniques for sensor networks such as single network keys, asymmetric cryptography, pairwise keys, and base station based key distribution. Random key predistribution schemes are explained where sensors are loaded with random keys before deployment. The document also discusses watermarking techniques that can be used to authenticate data collected by sensor networks through modulating sensor parameters or embedding signatures during data processing.
Preparation gade and idol model for preventing multiple spoofing attackers in...prjpublications
This document proposes the GADE and IDOL models for detecting and localizing multiple spoofing attackers in wireless networks. GADE uses spatial correlation of received signal strength readings and cluster analysis to detect spoofing attacks and determine the number of attackers. IDOL builds on GADE and uses additional localization algorithms to pinpoint the locations of multiple adversaries. The models were evaluated using both 802.11 and 802.15.4 networks in real office environments, achieving over 90% accuracy in detecting attacks and localizing adversaries. Support vector machines were also used to improve determination of the number of attackers when training data is available.
Robust encryption algorithm based sht in wireless sensor networksijdpsjournal
In bound applications, the locations
of events reportable by a device network have to be compelled to stay
anonymous. That is, unauthorized observers should be unable to notice the origin of such events by
analyzing the network traffic. I analyze 2 forms of downsides: Communication overhead a
nd machine load
problem. During this paper, I gift a brand new framework for modeling, analyzing, and evaluating
obscurity in device networks. The novelty of the proposed framework is twofold: initial, it introduc
es the
notion of “interval indistinguishabi
lity” and provides a quantitative live to model obscurity in wireless
device networks; second, it maps supply obscurity to the applied mathematics downside I showed that
the
present approaches for coming up with statistically anonymous systems introduce co
rrelation in real
intervals whereas faux area unit unrelated. I show however mapping supply obscurity to consecutive
hypothesis testing with nuisance Parameters ends up in changing the matter of exposing non
-
public supply
data into checking out associate d
egree applicable knowledge transformation that removes or minimize the
impact of the nuisance data victimization sturdy cryptography algorithmic rule. By doing therefore,
I
remodel the matter of analyzing real valued sample points to binary codes, that ope
ns the door for
committal to writing theory to be incorporated into the study of anonymous networks. In existing wor
k,
unable to notice unauthorized observer in network traffic. However our work in the main supported
enhances their supply obscurity against
correlation check. the most goal of supply location privacy is to
cover the existence of real events.
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.
This paper performs an in-depth analysis of the functionality of WPA2 and the Key Reinstallation Attack, announced in early November. Both forms of the attack, the 4-way handshake and the group key exploit are explained in brief detail so as to fasciliate an understanding of the processes involveds, leading into a discussion on the potential implications that this will have on a few connected areas such as BYOD policies, IoT and the Android ecosystem. A test is also conducted on an Android Phone which proves the testing mechanisms provided, and that without updated security patches for both clients and access points, the exploit is a threat.
SPINS: Security Protocols for Sensor NetworksAbhijeet Awade
This document summarizes the SPINS security protocols for sensor networks. It discusses two protocols: SNEP for basic node-to-base station security and μTESLA for authenticated broadcast. SNEP provides data confidentiality through symmetric encryption and data authentication using message authentication codes. μTESLA provides authentication for broadcast messages through disclosure of symmetric keys along a key chain. The document also gives examples of applications these protocols can enable, such as authenticated routing and pairwise key agreement between nodes.
WSN security faces many challenges due to limited sensor resources and operating in hostile environments. It requires high security levels to protect sensitive data while maintaining energy efficiency. However, current research has not fully addressed the conflict between security and limited resources. WSNs are vulnerable to various attacks like jamming, eavesdropping, and false routing. Providing security introduces additional processing and power demands on sensors. Many open research problems remain in developing scalable and dynamic security solutions for wireless sensor networks.
A Survey on Cloud-Based IP Trace Back FrameworkIRJET Journal
This document summarizes a survey of cloud-based IP traceback frameworks. It proposes a cloud-based traceback architecture with three layers: an intra-AS layer where traceback servers in each Autonomous System (AS) collect and store traffic flow data; a traceback as a service layer where ASes expose their traceback capabilities; and an inter-AS logical links layer to facilitate efficient traceback across ASes. It then focuses on access control to prevent unauthorized users from requesting traceback information. To address this, it proposes a temporal token-based authentication framework called FACT that embeds tokens in traffic flows and delivers them to end hosts to authenticate traceback queries. The framework aims to ensure only actual recipients of packets can initiate traceback for those packets.
Study on Vulnerabilities, Attack and Security Controls on Wireless Sensor Net...ijtsrd
In this fast evolving world of technology where security plays a major role, the threats to security is also increasing rapidly. The world aims to go wireless in all the fields, and the wireless sensor networks is also one such major field. The sensors which can sense its environment based on the functions allocated. It retrieves the data of its surrounding and sends it to the authorized location for further analysis. But as technology grows, the attacks on the system also increases due to the vulnerabilities in the system. Hence security plays a major role in the evolution of technology. This paper mainly concentrates on the vulnerabilities, the attacks possible due to vulnerabilities in the system and the counter measures to be taken to overcome the vulnerabilities. Dr. C. Umarani | R P Shruti "Study on Vulnerabilities, Attack and Security Controls on Wireless Sensor Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35738.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-network/35738/study-on-vulnerabilities-attack-and-security-controls-on-wireless-sensor-networks/dr-c-umarani
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
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
Identity Based Detection of Spoofing Attackers in Wireless Networks and Pract...Kumar Goud
Abstract: Wireless spoofing attacks are easy to launch and can significantly impact the performance of networks. Although the identity of a node can be verified through cryptographic authentication, conventional security approaches are not always desirable because of their overhead requirements. In this paper, we propose to use spatial information, a physical property associated with each node, hard to falsify, and not reliant on cryptography, as the basis for (1) detecting spoofing attacks; (2) determining the number of attackers when multiple adversaries masquerading as a same node identity; and (3) localizing multiple adversaries. We propose to use the spatial correlation of received signal strength (RSS) inherited from wireless nodes to detect the spoofing attacks. We then formulate the problem of determining the number of attackers as a multi-class detection problem. Cluster-based mechanisms are developed to determine the number of attackers. When the training data is available, we explore using Support Vector Machines (SVM) method to further improve the accuracy of determining the number of attackers. In addition, we developed an integrated detection and localization system that can localize the positions of multiple attackers. We evaluated our techniques through two testbeds using both an 802.11 (WiFi) network and an 802.15.4 (ZigBee) network in two real office buildings. Our experimental results show that our proposed methods can achieve over 90% Hit Rate and Precision when determining the number of attackers. Our localization results using a representative set of algorithms provide strong evidence of high accuracy of localizing multiple adversaries.
Keywords: Wifi, Spoofing, Wireless, RSS, MAX, WEP, WPA, ISP
Investigation of detection & prevention sinkhole attack in manetijctet
This document discusses sinkhole attacks in mobile ad hoc networks (MANETs) and wireless sensor networks (WSNs). It provides background on sinkhole attacks, where a compromised node advertises a high quality route to attract network traffic. This can disrupt data transmission to the base station. The document reviews several existing detection techniques for sinkhole attacks, including algorithms using hop counting and mobile agents. It then proposes a new lightweight algorithm to detect sinkhole attacks in MANETs using network flow information collected by the base station and analysis of routing patterns to identify the intruder. The algorithm aims to provide secure and efficient sinkhole detection with low overhead.
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.
TRUST VALUE ALGORITHM: A SECURE APPROACH AGAINST PACKET DROP ATTACK IN WIRELE...IJNSA Journal
Wireless ad-hoc networks are widely used because these are very easy to deploy. However, there are
various security issues and problems. Two most important issues are interoperability and interaction
among various security technologies which are very important to consider for configuration and
management point of view. The packet drop ratio in the wireless network is very high as well as packets
may be easily delayed by the attacker. Ii is very difficult to detect intruders, so it results into high false
positive rate. Packets may be dropped or delayed by intruders as well as external nodes in wireless
networks. Hence, there is the need of effective intrusion detection system which can detect maximum
number of intruders and the corresponding packets be forwarded through some alternate paths in the
network. In this paper we propose an alternate solution to detect the intruders/adversary with help of trust
value. It would remove the need of inbuilt IDS in the wireless networks and result into improving the
performance of WLAN.
Hierarchical Key Agreement Protocol for Wireless Sensor Networksidescitation
This document proposes a hierarchical key agreement protocol for wireless sensor networks that uses both symmetric and asymmetric cryptographic techniques. Specifically, it uses probabilistic key pre-distribution for sensor nodes within clusters to establish secure communication with low computational overhead. It uses identity-based asymmetric key distribution between cluster heads and the base station to achieve secure communication with low communication overhead. The goal is to balance security, resilience, and resource overhead of the key management protocol for the constrained sensor nodes. It provides mathematical background on bilinear pairings and elliptic curves needed to implement the identity-based cryptographic techniques.
A key management approach for wireless sensor networksZac Darcy
In this paper we presenta key management approach for wireless sensor networks. This approach
facilitating an efficient scalable post-distribution key establishment that provides different security services.
We have developed and tested this approach under TinyOs. Result shows that this approach provides
acceptable resistance against node capture attacks and replay attacks. The provision of security services is
completely transparent to the user of the WSNs. Furthermore, being highly scalable and lightweight, this
approach is appropriate to be used in a wireless sensor network of hundreds of nodes.
ENHANCED THREE TIER SECURITY ARCHITECTURE FOR WSN AGAINST MOBILE SINK REPLI...ijwmn
Recent developments on Wireless Sensor Networks have made their application in a wide range
such as military sensing and tracking, health monitoring, traffic monitoring, video surveillance and so on.
Wireless sensor nodes are restricted to computational resources, and are always deployed in a harsh,
unattended or unfriendly environment. Therefore, network security becomes a tough task and it involves
the authorization of admittance to data in a network. The problem of authentication and pair wise key
establishment in sensor networks with mobile sink is still not solved in the mobile sink replication attacks.
In q-composite key pre distribution scheme, a large number of keys are compromised by capturing a
small fraction of sensor nodes by the attacker. The attacker can easily take a control of the entire network
by deploying a replicated mobile sinks. Those mobile sinks which are preloaded with compromised keys
are used authenticate and initiate data communication with sensor node. To determine the above problem
the system adduces the three-tier security framework for authentication and pair wise key establishment
between mobile sinks and sensor nodes. The previous system used the polynomial key pre distribution
scheme for the sensor networks which handles sink mobility and continuous data delivery to the
neighbouring nodes and sinks, but this scheme makes high computational cost and reduces the life time of
sensors. In order to overcome this problem a random pair wise key pre distribution scheme is suggested
and further it helps to improve the network resilience. In addition to this an Identity Based Encryption is
used to encrypt the data and Mutual authentication scheme is proposed for the identification and
isolation of replicated mobile sink from the network.
Dotnet detection and localization of multiple spoofing attackers in wireless...Ecway Technologies
This paper proposes methods for detecting spoofing attacks in wireless networks, determining the number of attackers when multiple adversaries spoof the same node, and localizing the positions of multiple attackers. It uses the spatial correlation of received signal strength inherent in wireless transmissions to detect spoofing attacks. Cluster-based mechanisms and support vector machines are developed to determine the number of attackers by formulating it as a multiclass detection problem. Experimental results using WiFi and ZigBee networks in two buildings show the methods can achieve over 90% accuracy in determining the number of attackers and provide strong evidence of accurately localizing multiple adversaries.
IRJET- - Implementation of a Secured Approach using Dynamic Key Managemen...IRJET Journal
This document proposes a secure authentication approach for wireless sensor networks using dynamic key management and zero knowledge protocols. It begins with background on wireless sensor networks and security issues. It then describes related work on key predistribution and dynamic key management schemes. A proposed algorithm is described that uses a rekeying mechanism, zero knowledge authentication without directly transmitting secret keys, and dynamic keys that change for each authentication. Simulation results on networks of up to 25 nodes show the approach is efficient and can authenticate nodes while preventing attacks like cloning.
The document summarizes research on preserving source location privacy in wireless sensor networks. It proposes using computer-based image recognition to analyze traffic patterns and detect modified data packets. The key points are:
1) Wireless sensor networks are vulnerable to traffic analysis attacks that can reveal the location of data sources. Existing solutions have limitations like increased energy use.
2) The paper proposes using computer-based image recognition to analyze traffic and identify packets whose delivery was delayed, indicating modification by an attacker.
3) If the attacking node is identified, it would be removed from the network. This approach aims to effectively preserve source location privacy against traffic analysis attacks.
This document discusses security threats and challenges in wireless sensor networks. It outlines various threats including passive information gathering, node subversion, false nodes, node malfunctions, message corruption and denial of service attacks. It also describes different key distribution techniques for sensor networks such as single network keys, asymmetric cryptography, pairwise keys, and base station based key distribution. Random key predistribution schemes are explained where sensors are loaded with random keys before deployment. The document also discusses watermarking techniques that can be used to authenticate data collected by sensor networks through modulating sensor parameters or embedding signatures during data processing.
Preparation gade and idol model for preventing multiple spoofing attackers in...prjpublications
This document proposes the GADE and IDOL models for detecting and localizing multiple spoofing attackers in wireless networks. GADE uses spatial correlation of received signal strength readings and cluster analysis to detect spoofing attacks and determine the number of attackers. IDOL builds on GADE and uses additional localization algorithms to pinpoint the locations of multiple adversaries. The models were evaluated using both 802.11 and 802.15.4 networks in real office environments, achieving over 90% accuracy in detecting attacks and localizing adversaries. Support vector machines were also used to improve determination of the number of attackers when training data is available.
Robust encryption algorithm based sht in wireless sensor networksijdpsjournal
In bound applications, the locations
of events reportable by a device network have to be compelled to stay
anonymous. That is, unauthorized observers should be unable to notice the origin of such events by
analyzing the network traffic. I analyze 2 forms of downsides: Communication overhead a
nd machine load
problem. During this paper, I gift a brand new framework for modeling, analyzing, and evaluating
obscurity in device networks. The novelty of the proposed framework is twofold: initial, it introduc
es the
notion of “interval indistinguishabi
lity” and provides a quantitative live to model obscurity in wireless
device networks; second, it maps supply obscurity to the applied mathematics downside I showed that
the
present approaches for coming up with statistically anonymous systems introduce co
rrelation in real
intervals whereas faux area unit unrelated. I show however mapping supply obscurity to consecutive
hypothesis testing with nuisance Parameters ends up in changing the matter of exposing non
-
public supply
data into checking out associate d
egree applicable knowledge transformation that removes or minimize the
impact of the nuisance data victimization sturdy cryptography algorithmic rule. By doing therefore,
I
remodel the matter of analyzing real valued sample points to binary codes, that ope
ns the door for
committal to writing theory to be incorporated into the study of anonymous networks. In existing wor
k,
unable to notice unauthorized observer in network traffic. However our work in the main supported
enhances their supply obscurity against
correlation check. the most goal of supply location privacy is to
cover the existence of real events.
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.
This paper performs an in-depth analysis of the functionality of WPA2 and the Key Reinstallation Attack, announced in early November. Both forms of the attack, the 4-way handshake and the group key exploit are explained in brief detail so as to fasciliate an understanding of the processes involveds, leading into a discussion on the potential implications that this will have on a few connected areas such as BYOD policies, IoT and the Android ecosystem. A test is also conducted on an Android Phone which proves the testing mechanisms provided, and that without updated security patches for both clients and access points, the exploit is a threat.
SPINS: Security Protocols for Sensor NetworksAbhijeet Awade
This document summarizes the SPINS security protocols for sensor networks. It discusses two protocols: SNEP for basic node-to-base station security and μTESLA for authenticated broadcast. SNEP provides data confidentiality through symmetric encryption and data authentication using message authentication codes. μTESLA provides authentication for broadcast messages through disclosure of symmetric keys along a key chain. The document also gives examples of applications these protocols can enable, such as authenticated routing and pairwise key agreement between nodes.
WSN security faces many challenges due to limited sensor resources and operating in hostile environments. It requires high security levels to protect sensitive data while maintaining energy efficiency. However, current research has not fully addressed the conflict between security and limited resources. WSNs are vulnerable to various attacks like jamming, eavesdropping, and false routing. Providing security introduces additional processing and power demands on sensors. Many open research problems remain in developing scalable and dynamic security solutions for wireless sensor networks.
A Survey on Cloud-Based IP Trace Back FrameworkIRJET Journal
This document summarizes a survey of cloud-based IP traceback frameworks. It proposes a cloud-based traceback architecture with three layers: an intra-AS layer where traceback servers in each Autonomous System (AS) collect and store traffic flow data; a traceback as a service layer where ASes expose their traceback capabilities; and an inter-AS logical links layer to facilitate efficient traceback across ASes. It then focuses on access control to prevent unauthorized users from requesting traceback information. To address this, it proposes a temporal token-based authentication framework called FACT that embeds tokens in traffic flows and delivers them to end hosts to authenticate traceback queries. The framework aims to ensure only actual recipients of packets can initiate traceback for those packets.
Study on Vulnerabilities, Attack and Security Controls on Wireless Sensor Net...ijtsrd
In this fast evolving world of technology where security plays a major role, the threats to security is also increasing rapidly. The world aims to go wireless in all the fields, and the wireless sensor networks is also one such major field. The sensors which can sense its environment based on the functions allocated. It retrieves the data of its surrounding and sends it to the authorized location for further analysis. But as technology grows, the attacks on the system also increases due to the vulnerabilities in the system. Hence security plays a major role in the evolution of technology. This paper mainly concentrates on the vulnerabilities, the attacks possible due to vulnerabilities in the system and the counter measures to be taken to overcome the vulnerabilities. Dr. C. Umarani | R P Shruti "Study on Vulnerabilities, Attack and Security Controls on Wireless Sensor Networks" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-4 | Issue-6 , October 2020, URL: https://www.ijtsrd.com/papers/ijtsrd35738.pdf Paper Url: https://www.ijtsrd.com/computer-science/computer-network/35738/study-on-vulnerabilities-attack-and-security-controls-on-wireless-sensor-networks/dr-c-umarani
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Identity Based Detection of Spoofing Attackers in Wireless Networks and Pract...Kumar Goud
Abstract: Wireless spoofing attacks are easy to launch and can significantly impact the performance of networks. Although the identity of a node can be verified through cryptographic authentication, conventional security approaches are not always desirable because of their overhead requirements. In this paper, we propose to use spatial information, a physical property associated with each node, hard to falsify, and not reliant on cryptography, as the basis for (1) detecting spoofing attacks; (2) determining the number of attackers when multiple adversaries masquerading as a same node identity; and (3) localizing multiple adversaries. We propose to use the spatial correlation of received signal strength (RSS) inherited from wireless nodes to detect the spoofing attacks. We then formulate the problem of determining the number of attackers as a multi-class detection problem. Cluster-based mechanisms are developed to determine the number of attackers. When the training data is available, we explore using Support Vector Machines (SVM) method to further improve the accuracy of determining the number of attackers. In addition, we developed an integrated detection and localization system that can localize the positions of multiple attackers. We evaluated our techniques through two testbeds using both an 802.11 (WiFi) network and an 802.15.4 (ZigBee) network in two real office buildings. Our experimental results show that our proposed methods can achieve over 90% Hit Rate and Precision when determining the number of attackers. Our localization results using a representative set of algorithms provide strong evidence of high accuracy of localizing multiple adversaries.
Keywords: Wifi, Spoofing, Wireless, RSS, MAX, WEP, WPA, ISP
Investigation of detection & prevention sinkhole attack in manetijctet
This document discusses sinkhole attacks in mobile ad hoc networks (MANETs) and wireless sensor networks (WSNs). It provides background on sinkhole attacks, where a compromised node advertises a high quality route to attract network traffic. This can disrupt data transmission to the base station. The document reviews several existing detection techniques for sinkhole attacks, including algorithms using hop counting and mobile agents. It then proposes a new lightweight algorithm to detect sinkhole attacks in MANETs using network flow information collected by the base station and analysis of routing patterns to identify the intruder. The algorithm aims to provide secure and efficient sinkhole detection with low overhead.
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.
TRUST VALUE ALGORITHM: A SECURE APPROACH AGAINST PACKET DROP ATTACK IN WIRELE...IJNSA Journal
Wireless ad-hoc networks are widely used because these are very easy to deploy. However, there are
various security issues and problems. Two most important issues are interoperability and interaction
among various security technologies which are very important to consider for configuration and
management point of view. The packet drop ratio in the wireless network is very high as well as packets
may be easily delayed by the attacker. Ii is very difficult to detect intruders, so it results into high false
positive rate. Packets may be dropped or delayed by intruders as well as external nodes in wireless
networks. Hence, there is the need of effective intrusion detection system which can detect maximum
number of intruders and the corresponding packets be forwarded through some alternate paths in the
network. In this paper we propose an alternate solution to detect the intruders/adversary with help of trust
value. It would remove the need of inbuilt IDS in the wireless networks and result into improving the
performance of WLAN.
TRUST VALUE ALGORITHM: A SECURE APPROACH AGAINST PACKET DROP ATTACK IN WIRELE...IJNSA Journal
Wireless ad-hoc networks are widely used because these are very easy to deploy. However, there are various security issues and problems. Two most important issues are interoperability and interaction among various security technologies which are very important to consider for configuration and management point of view. The packet drop ratio in the wireless network is very high as well as packets may be easily delayed by the attacker. Ii is very difficult to detect intruders, so it results into high false positive rate. Packets may be dropped or delayed by intruders as well as external nodes in wireless networks. Hence, there is the need of effective intrusion detection system which can detect maximum number of intruders and the corresponding packets be forwarded through some alternate paths in the network. In this paper we propose an alternate solution to detect the intruders/adversary with help of trust value. It would remove the need of inbuilt IDS in the wireless networks and result into improving the performance of WLAN
A review of security attacks and intrusion detection schemes in wireless sens...ijwmn
Wireless sensor networks are currently the greatest innovation in the field of telecommunications. WSNs
have a wide range of potential applications, including security and surveillance, control, actuation and
maintenance of complex systems and fine-grain monitoring of indoor and outdoor environments. However
security is one of the major aspects of Wireless sensor networks due to the resource limitations of sensor
nodes. Those networks are facing several threats that affect their functioning and their life. In this paper we
present security attacks in wireless sensor networks, and we focus on comparison and analysis of recent
Intrusion Detection schemes in WSNs.
This document summarizes a research paper that proposes techniques to detect and localize multiple spoofing attackers in wireless networks using received signal strength (RSS). It begins by introducing the problem of spoofing attacks and outlines three goals: detecting attacks, determining the number of attackers, and localizing multiple adversaries. It then reviews related work on secure routing protocols and key management schemes. An overview of the proposed techniques is provided, including a generalized attack detection model, determining the number of attackers as a multiclass detection problem, and an integrated detection and localization framework (IDOL). Several localization algorithms are also summarized. Experimental results showed the proposed methods can achieve over 90% accuracy in determining the number of attackers.
Intrusion Detection Systems By Anamoly-Based Using Neural NetworkIOSR Journals
To improve network security different steps has been taken as size and importance of the network has
increases day by day. Then chances of a network attacks increases Network is mainly attacked by some
intrusions that are identified by network intrusion detection system. These intrusions are mainly present in data
packets and each packet has to scan for its detection. This paper works to develop a intrusion detection system
which utilizes the identity and signature of the intrusion for identifying different kinds of intrusions. As network
intrusion detection system need to be efficient enough that chance of false alarm generation should be less,
which means identifying as a intrusion but actually it is not an intrusion. Result obtained after analyzing this
system is quite good enough that nearly 90% of true alarms are generated. It detect intrusion for various
services like Dos, SSH, etc by neural network
IRJET- Detection of Spoofing and Jamming Attacks in Wireless Smart Grid Netwo...IRJET Journal
This document discusses detecting spoofing and jamming attacks in wireless smart grid networks using RSS (Received Signal Strength) algorithms. It proposes a traffic analysis method using RSS to infer contextual information from jamming and spoofing attacks. The method relies only on packet transmission times and eavesdropper locations. It is intended as a baseline for evaluating protection mechanisms with different assumptions. RSS values are correlated with physical location and widely used in localization algorithms. The proposed system aims to reduce communication overhead and delay compared to existing approaches by limiting injected dummy traffic through constructing minimum connected dominating sets and shortest path trees.
Dotnet detection and localization of multiple spoofing attackers in wireless...Ecwayt
This document proposes methods for detecting spoofing attacks in wireless networks, determining the number of attackers, and localizing multiple attackers using spatial information. The methods use the spatial correlation of received signal strength inherited from wireless nodes to detect spoofing attacks. A multiclass detection problem formulation and cluster-based mechanisms are developed to determine the number of attackers. Support vector machines are also explored to improve accuracy. An integrated system is developed that can localize the positions of multiple attackers, which was evaluated through testbeds and shown to achieve over 90% accuracy in determining the number of attackers and high localization accuracy.
Detection and localization of multiple spoofing attackers in wireless networksEcwayt
This document proposes methods for detecting spoofing attacks in wireless networks, determining the number of attackers, and localizing multiple attackers using spatial information. The methods use the spatial correlation of received signal strength inherited from wireless nodes to detect spoofing attacks. A multiclass detection problem formulation and cluster-based mechanisms are developed to determine the number of attackers. Support vector machines are also explored to improve accuracy. An integrated system is developed that can localize the positions of multiple attackers, which was evaluated through two testbeds with over 90% accuracy in determining the number of attackers based on experimental results.
Detection and localization of multiple spoofing attackers in wireless networksecwayprojects
This document proposes methods for detecting and localizing multiple spoofing attackers in wireless networks. It uses spatial information like received signal strength, which is hard to falsify and does not rely on cryptography. Cluster-based mechanisms are developed to determine the number of attackers, and support vector machines are used to improve accuracy. An integrated system is designed to detect and localize the positions of multiple attackers. Experiments using WiFi and ZigBee networks in offices showed over 90% success in determining the number of attackers, and accurate localization of multiple adversaries.
Detection and localization of multiple spoofing attackers in wireless networksEcwayt
This document proposes methods for detecting spoofing attacks in wireless networks, determining the number of attackers, and localizing multiple attackers using spatial information. The methods use the spatial correlation of received signal strength inherited from wireless nodes to detect spoofing attacks. A multiclass detection problem formulation and cluster-based mechanisms are developed to determine the number of attackers. Support vector machines are also explored to improve accuracy. An integrated system is developed that can localize the positions of multiple attackers, which was evaluated through testbeds and shown to achieve over 90% accuracy in determining the number of attackers and high localization accuracy.
Dotnet detection and localization of multiple spoofing attackers in wireless...Ecwaytech
This document proposes methods for detecting spoofing attacks in wireless networks using spatial information from received signal strength. It formulates determining the number of attackers as a multiclass detection problem and develops cluster-based mechanisms. Support vector machines are explored to improve accuracy. An integrated system is developed to localize multiple attackers. Experimental results using WiFi and ZigBee networks show over 90% success in determining the number of attackers, with strong localization accuracy.
This document summarizes and evaluates techniques for identifying adversary attacks in wireless sensor networks. It begins by describing common types of attacks and issues with cryptographic identification methods. It then evaluates existing localization techniques like Received Signal Strength (RSS) and spatial correlation analysis. Specifically, it proposes the Generalized Model for Attack Detection (GMFAD) which uses Partitioning Around Medoids (PaM) clustering on RSS readings to detect multiple attackers. It also presents the Coherent Detection and Localization Model (CDAL-M) which integrates PaM with localization algorithms like RADAR and Bayesian networks to determine attacker locations. The document analyzes these techniques' effectiveness at detecting and localizing multiple adversary attackers in wireless sensor networks.
Detection and localization of multiple spoofing attackers in wireless networksecway
This paper proposes methods for detecting spoofing attacks in wireless networks, determining the number of attackers when multiple adversaries spoof the same node, and localizing the positions of multiple attackers. It uses the spatial correlation of received signal strength inherent in wireless transmissions to detect spoofing attacks. Cluster-based mechanisms and support vector machines are developed to determine the number of attackers by formulating it as a multiclass detection problem. Experimental results using WiFi and ZigBee networks in two buildings show the methods can determine the number of attackers over 90% of the time and accurately localize multiple adversaries.
Java detection and localization of multiple spoofing attackers in wireless n...Ecway Technologies
This paper proposes methods for detecting spoofing attacks in wireless networks, determining the number of attackers when multiple adversaries spoof the same node, and localizing the positions of multiple attackers. It uses the spatial correlation of received signal strength inherent in wireless transmissions to detect spoofing attacks. Cluster-based mechanisms and support vector machines are developed to determine the number of attackers by formulating it as a multiclass detection problem. Experimental results using WiFi and ZigBee networks in two buildings show the methods can achieve over 90% accuracy in determining the number of attackers and provide strong evidence of accurately localizing multiple adversaries.
Java detection and localization of multiple spoofing attackers in wireless n...ecwayerode
This paper proposes methods for detecting spoofing attacks in wireless networks, determining the number of attackers when multiple adversaries spoof the same node, and localizing the positions of multiple attackers. It uses the spatial correlation of received signal strength inherent in wireless transmissions to detect spoofing attacks. Cluster-based mechanisms and support vector machines are developed to determine the number of attackers by formulating it as a multiclass detection problem. Experimental results using WiFi and ZigBee networks in two buildings show the methods can determine the number of attackers over 90% of the time and localize multiple adversaries with high accuracy.
SEAD: Source Encrypted Authentic Data for Wireless Sensor NetworksIJERD Editor
One of the critical issues in WSNs is providing security for the secret data in military applications. It is necessary to ensure data integrity and authentication for the source data and secure end-to-end path for data transmission. Mobile sinks are suitable for data collection and localization. Mobile sinks and sensor nodes communicate with each other using their public identity, which is prone to security attacks like sink replication and node replication attack. In this work, we have proposed Source Encrypted Authentic Data algorithm (SEAD) that hides the location of mobile sink from malicious nodes. The sensed data is encrypted utilizing symmetric encryption ---Advanced Encryption Standards (AES) and tracks the location of the mobile sink. When data encounters a malicious node in a path, then data transmission path is diverted through a secure path. SEAD uses public encryption ---Elliptic Curve Cryptography (ECC) to verify the authenticity of the data. Simulation results show that the proposed algorithm ensures data integrity and node authenticity against malicious nodes. Double encryption in the proposed algorithm produces better results in comparison with the existing algorithms.
Similar to Detection and localization of multiple spoofing attacks in (20)
Energy efficient reverse skyline query processing over wireless sensor networksFinalyear Projects
This document discusses energy efficient processing of reverse skyline queries in wireless sensor networks. It proposes using a full skyband approach to minimize communication costs among sensor nodes when evaluating range reverse skyline queries. It also discusses optimization mechanisms for improving the performance of multiple reverse skyline queries, including vertical and horizontal optimizations. Extensive experiments on real and synthetic data demonstrate the efficiency and effectiveness of the proposed approaches.
The document proposes a single sign-on assistant called SSOA that allows a user to log in once and access multiple web applications without additional logins. SSOA acts as an authentication broker installed as a client plugin. It extracts login information and sends it to an authentication server for validation via web services. Once validated, SSOA caches the credentials to streamline access to registered systems. The system aims to provide uniform authentication across heterogeneous applications simply, scalably and cost-effectively.
Scalable scheduling of updates in streaming data warehousesFinalyear Projects
This document discusses scheduling updates in streaming data warehouses. It proposes a scheduling framework to handle complications from streaming data, including view hierarchies, data consistency, inability to preempt updates, and transient overload. Key aspects of the proposed system include defining a scheduling metric based on data staleness rather than job properties, and developing two modes (push and pull) for auditing logs to provide data accountability. The goal is to propagate new data across relevant tables and views as quickly as possible to allow real-time decision making.
The document proposes a novel VLSI DHT algorithm that is well suited for highly parallel and modular architecture. It can efficiently split the DHT algorithm into several parallel parts that can be executed concurrently, reducing hardware complexity. The algorithm extensively uses subexpression sharing techniques and sharing of common multipliers, which helps achieve high parallelism and reusability of hardware. The outcomes expected are a low complexity VLSI implementation of the length-N DHT with a modular structure, reduced hardware needs through subexpression sharing, and efficient sharing of multipliers.
The document proposes a novel VLSI DHT algorithm that is well suited for highly parallel and modular hardware architectures. It splits the DHT algorithm into multiple parallel parts that can be executed concurrently to improve efficiency. The algorithm also utilizes subexpression sharing techniques to significantly reduce hardware complexity and allows for efficient sharing of multipliers. The goal is to design and implement a highly parallel VLSI DHT algorithm having low hardware complexity and a modular structure through extensive use of subexpression sharing and sharing of common multipliers.
Fpga implementation of truncated multiplier for array multiplicationFinalyear Projects
The document discusses designing a truncated multiplier for array multiplication on an FPGA. It proposes two improvements: 1) accumulating partial product bits in a carry-save format to reduce area and improve speed compared to other truncated array multipliers, and 2) a new pseudo-carry compensated truncation scheme with an adaptive compensation circuit and fixed bias to minimize truncation error for unsigned integer multiplication. The proposed truncated multiplier is expected to consume less power and area while improving truncation error efficiency compared to existing designs.
The document proposes a novel method for routing keyword queries to only relevant data sources to reduce the high cost of processing queries over all sources. It employs a compact keyword-element relationship summary to represent relationships between keywords and data elements. A multilevel scoring mechanism is used to compute the relevance of routing plans based on scores at different levels. Experiments on 150 publicly available sources showed the method can compute valid, highly relevant plans in 1 second on average and routing improves keyword search performance without compromising result quality.
This document discusses energy efficient big data gathering in densely distributed sensor networks. It proposes a new mobile sink routing and data gathering method using network clustering based on a modified Expectation-Maximization technique. This aims to minimize energy consumption by deriving an optimal number of clusters to reduce energy used for data requests and wireless transmissions between sensor nodes. Numerical results are presented to validate that the proposed method can efficiently gather big data from sensor networks in an energy efficient manner.
1) The document proposes a system to clean and structure unstructured medical data from electronic health records into a standardized format called a Care Record Summary (CRS) to enable efficient analysis of big healthcare data.
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3) A CRS model suitable for Korea's healthcare system is designed to facilitate sharing and analysis of clinical data between hospitals for improved care.
Discovering emerging topics in social streams via link anomaly detectionFinalyear Projects
This document proposes a method to detect emerging topics in social media streams by analyzing anomalies in how users mention and link to each other, rather than analyzing textual content. It presents a probability model to capture normal user mentioning behavior and detect anomalies. Anomaly scores from many users are aggregated and analyzed with change point detection to identify when new topics emerge. The method is tested on real Twitter data and shown to detect emerging topics as early or earlier than text-based methods, especially when textual keywords are ambiguous.
We invites students from the stream of BCA/MCA/BE to carry out their academic project work at our facility under the guidance of industry experts. The students will be working as project trainees. We offer them the necessary guidance & tools to help them to complete their academic projects in the most professional way. Most of our efforts are aimed towards showcasing new technologies
The document discusses developing an Android application for home automation. The application would allow users to control devices in their home remotely from their Android device by sending SMS messages. A PC connected to a microcontroller and home devices would receive the SMS messages and trigger the appropriate devices. The application would also provide status updates on device states. It requires an Android device, Java software, and hardware components like a microcontroller to interface with home appliances.
This document discusses developing an Android application for home automation. The application would allow users to control home devices like lights and appliances remotely from their mobile device by sending SMS messages. A PC at home would be connected to a microcontroller and devices, and use a program to interpret SMS messages and control the devices accordingly. The application would also provide status updates on device states.
Reimagining Your Library Space: How to Increase the Vibes in Your Library No ...Diana Rendina
Librarians are leading the way in creating future-ready citizens – now we need to update our spaces to match. In this session, attendees will get inspiration for transforming their library spaces. You’ll learn how to survey students and patrons, create a focus group, and use design thinking to brainstorm ideas for your space. We’ll discuss budget friendly ways to change your space as well as how to find funding. No matter where you’re at, you’ll find ideas for reimagining your space in this session.
This slide is special for master students (MIBS & MIFB) in UUM. Also useful for readers who are interested in the topic of contemporary Islamic banking.
ISO/IEC 27001, ISO/IEC 42001, and GDPR: Best Practices for Implementation and...PECB
Denis is a dynamic and results-driven Chief Information Officer (CIO) with a distinguished career spanning information systems analysis and technical project management. With a proven track record of spearheading the design and delivery of cutting-edge Information Management solutions, he has consistently elevated business operations, streamlined reporting functions, and maximized process efficiency.
Certified as an ISO/IEC 27001: Information Security Management Systems (ISMS) Lead Implementer, Data Protection Officer, and Cyber Risks Analyst, Denis brings a heightened focus on data security, privacy, and cyber resilience to every endeavor.
His expertise extends across a diverse spectrum of reporting, database, and web development applications, underpinned by an exceptional grasp of data storage and virtualization technologies. His proficiency in application testing, database administration, and data cleansing ensures seamless execution of complex projects.
What sets Denis apart is his comprehensive understanding of Business and Systems Analysis technologies, honed through involvement in all phases of the Software Development Lifecycle (SDLC). From meticulous requirements gathering to precise analysis, innovative design, rigorous development, thorough testing, and successful implementation, he has consistently delivered exceptional results.
Throughout his career, he has taken on multifaceted roles, from leading technical project management teams to owning solutions that drive operational excellence. His conscientious and proactive approach is unwavering, whether he is working independently or collaboratively within a team. His ability to connect with colleagues on a personal level underscores his commitment to fostering a harmonious and productive workplace environment.
Date: May 29, 2024
Tags: Information Security, ISO/IEC 27001, ISO/IEC 42001, Artificial Intelligence, GDPR
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Main Java[All of the Base Concepts}.docxadhitya5119
This is part 1 of my Java Learning Journey. This Contains Custom methods, classes, constructors, packages, multithreading , try- catch block, finally block and more.
How to Setup Warehouse & Location in Odoo 17 InventoryCeline George
In this slide, we'll explore how to set up warehouses and locations in Odoo 17 Inventory. This will help us manage our stock effectively, track inventory levels, and streamline warehouse operations.
Chapter wise All Notes of First year Basic Civil Engineering.pptxDenish Jangid
Chapter wise All Notes of First year Basic Civil Engineering
Syllabus
Chapter-1
Introduction to objective, scope and outcome the subject
Chapter 2
Introduction: Scope and Specialization of Civil Engineering, Role of civil Engineer in Society, Impact of infrastructural development on economy of country.
Chapter 3
Surveying: Object Principles & Types of Surveying; Site Plans, Plans & Maps; Scales & Unit of different Measurements.
Linear Measurements: Instruments used. Linear Measurement by Tape, Ranging out Survey Lines and overcoming Obstructions; Measurements on sloping ground; Tape corrections, conventional symbols. Angular Measurements: Instruments used; Introduction to Compass Surveying, Bearings and Longitude & Latitude of a Line, Introduction to total station.
Levelling: Instrument used Object of levelling, Methods of levelling in brief, and Contour maps.
Chapter 4
Buildings: Selection of site for Buildings, Layout of Building Plan, Types of buildings, Plinth area, carpet area, floor space index, Introduction to building byelaws, concept of sun light & ventilation. Components of Buildings & their functions, Basic concept of R.C.C., Introduction to types of foundation
Chapter 5
Transportation: Introduction to Transportation Engineering; Traffic and Road Safety: Types and Characteristics of Various Modes of Transportation; Various Road Traffic Signs, Causes of Accidents and Road Safety Measures.
Chapter 6
Environmental Engineering: Environmental Pollution, Environmental Acts and Regulations, Functional Concepts of Ecology, Basics of Species, Biodiversity, Ecosystem, Hydrological Cycle; Chemical Cycles: Carbon, Nitrogen & Phosphorus; Energy Flow in Ecosystems.
Water Pollution: Water Quality standards, Introduction to Treatment & Disposal of Waste Water. Reuse and Saving of Water, Rain Water Harvesting. Solid Waste Management: Classification of Solid Waste, Collection, Transportation and Disposal of Solid. Recycling of Solid Waste: Energy Recovery, Sanitary Landfill, On-Site Sanitation. Air & Noise Pollution: Primary and Secondary air pollutants, Harmful effects of Air Pollution, Control of Air Pollution. . Noise Pollution Harmful Effects of noise pollution, control of noise pollution, Global warming & Climate Change, Ozone depletion, Greenhouse effect
Text Books:
1. Palancharmy, Basic Civil Engineering, McGraw Hill publishers.
2. Satheesh Gopi, Basic Civil Engineering, Pearson Publishers.
3. Ketki Rangwala Dalal, Essentials of Civil Engineering, Charotar Publishing House.
4. BCP, Surveying volume 1
Leveraging Generative AI to Drive Nonprofit InnovationTechSoup
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This presentation was provided by Steph Pollock of The American Psychological Association’s Journals Program, and Damita Snow, of The American Society of Civil Engineers (ASCE), for the initial session of NISO's 2024 Training Series "DEIA in the Scholarly Landscape." Session One: 'Setting Expectations: a DEIA Primer,' was held June 6, 2024.
How to Fix the Import Error in the Odoo 17Celine George
An import error occurs when a program fails to import a module or library, disrupting its execution. In languages like Python, this issue arises when the specified module cannot be found or accessed, hindering the program's functionality. Resolving import errors is crucial for maintaining smooth software operation and uninterrupted development processes.
This document provides an overview of wound healing, its functions, stages, mechanisms, factors affecting it, and complications.
A wound is a break in the integrity of the skin or tissues, which may be associated with disruption of the structure and function.
Healing is the body’s response to injury in an attempt to restore normal structure and functions.
Healing can occur in two ways: Regeneration and Repair
There are 4 phases of wound healing: hemostasis, inflammation, proliferation, and remodeling. This document also describes the mechanism of wound healing. Factors that affect healing include infection, uncontrolled diabetes, poor nutrition, age, anemia, the presence of foreign bodies, etc.
Complications of wound healing like infection, hyperpigmentation of scar, contractures, and keloid formation.
3. Wireless spoofing attacks are easy to launch and can
significantly impact the performance of networks. Although
the identity of a node can be verified through cryptographic
authentication, conventional security approaches are not
always desirable because of their overhead requirements. In
this paper, we propose to use spatial information, a physical
property associated with each node, hard to falsify, and not
reliant on cryptography, as the basis for 1) detecting spoofing
attacks; 2) determining the number of attackers when multiple
adversaries masquerading as the same node identity; and 3)
localizing multiple adversaries. We propose to use the spatial
correlation of received signal strength (RSS) inherited from
wireless nodes to detect the spoofing attacks. We then
formulate the problem of determining the number of attackers
as a multiclass detection problem.
Targetj Solutions - 9611582234
4. CONTINUE….
Cluster-based mechanisms are developed to determine the
number of attackers. When the training data are available, we
explore using the Support Vector Machines (SVM) method to
further improve the accuracy of determining the number of
attackers. In addition, we developed an integrated detection
and localization system that can localize the positions of
multiple attackers. We evaluated our techniques through two
testbeds using both an 802.11 (WiFi) network and an
802.15.4 (ZigBee) network in two real office buildings. Our
experimental results show that our proposed methods can
achieve over 90 percent Hit Rate and Precision when
determining the number of attackers. Our localization results
using a representative set of algorithms provide strong
evidence of high accuracy of localizing multiple adversaries.
Targetj Solutions - 9611582234
5. In the EXISTING SYSTEM, due to the open
medium in Wireless Sensor Networks, spoofing attacks
are easy to launch and can significantly impact the
performance of networks. So that the nodes can be easily
compromised and perform malicious activities. Although
the identity of a node can be verified through
cryptographic authentication, conventional security
approaches are not always desirable because of their
overhead requirements.
DISADVANTGES:
Spoofing Attacks can be easily launched.
Nodes can be easily compromised and perform malicious
activities.
Targetj Solutions - 9611582234
6. In the PROPOSED SYSTEM, we are
implementing three steps 1. Detection of Spoofing
attacks based on Received Signal Strength. 2.
Determining the number of attackers when multiple
adversaries masquerading the same node identity. So
that we can identify the attackers who are all
performing the spoofing attacks. 3. Localizing the
multiple adversaries and eliminate them from the
network if necessary. So that the other nodes may
know about the attacker nodes in the Wireless Sensor
Networks.
Targetj Solutions - 9611582234
7. ADVANTAGES:
Easy to detect the spoofing attacks.
Eliminating the attacker node will provide more
security to the network.
Encrypting the data packets restrict the intermediate
nodes from viewing the original data.
Targetj Solutions - 9611582234
8. SOFTWARE REQUIREMENTS:
Platform : Windows XP
Front End : Java JDK1.5.
Back End : MYSQL
HARDWARE REQUIREMENTS:
Processor : Pentium IV
RAM : 512 MB
HDD : 80 GB
Targetj Solutions - 9611582234
9. In this work, we proposed to use received signal
strength based spatial correlation, a physical property
associated with each wireless device that is hard to falsify
and not reliant on cryptography as the basis for detecting
spoofing attacks in wireless networks. We provided
theoretical analysis of using the spatial correlation of RSS
inherited from wireless nodes for attack detection. We
derived the test statistic based on the cluster analysis of
RSS readings. Our approach can detect the presence of
attacks as well as determine the number of adversaries,
spoofing the same node identity, so that we can localize
any number of attackers and eliminate them. Determining
the number of adversaries is a particularly challenging
problem.
Targetj Solutions - 9611582234
10. We developed SILENCE, a mechanism that employs
the minimum distance testing in addition to cluster
analysis to achieve better accuracy of determining the
number of attackers than other methods under study,
such as Silhouette Plot and System Evolution that use
cluster analysis alone. Additionally, when the training
data are available, we explored using Support Vector
Machines-based mechanism to further improve the
accuracy of determining the number of attackers
present in the system.
Targetj Solutions - 9611582234
11. [1] J. Bellardo and S. Savage, “802.11 Denial-of-Service
Attacks: Real Vulnerabilities and Practical Solutions,”
Proc. USENIX Security Symp., pp. 15-28, 2003.
[2] F. Ferreri, M. Bernaschi, and L. Valcamonici, “Access
Points Vulnerabilities to Dos Attacks in 802.11 Networks,”
Proc. IEEE Wireless Comm. and Networking Conf., 2004.
[3] D. Faria and D. Cheriton, “Detecting Identity-Based
Attacks in Wireless Networks Using Signalprints,” Proc.
ACM Workshop Wireless Security (WiSe), Sept. 2006.
[4] Q. Li and W. Trappe, “Relationship-Based Detection of
Spoofing- Related Anomalous Traffic in Ad Hoc
Networks,” Proc. Ann. IEEE Comm. Soc. on IEEE and
Sensor and Ad Hoc Comm. and Networks (SECON), 2006.
Targetj Solutions - 9611582234
12. [5] B. Wu, J. Wu, E. Fernandez, and S. Magliveras,
“Secure and Efficient Key Management in Mobile Ad
Hoc Networks,” Proc. IEEE Int’l Parallel and
Distributed Processing Symp. (IPDPS), 2005.
[6] A. Wool, “Lightweight Key Management for
IEEE 802.11 Wireless Lans With Key Refresh and
Host Revocation,” ACM/Springer Wireless Networks,
vol. 11, no. 6, pp. 677-686, 2005.
[7] Y. Sheng, K. Tan, G. Chen, D. Kotz, and A.
Campbell, “Detecting 802.11 MAC Layer Spoofing
Using Received Signal Strength,” Proc. IEEE
INFOCOM, Apr. 2008.
Targetj Solutions - 9611582234