A Trust-Based Detection Algorithm of Selfish Packet Dropping Nodes in a Peer-to-Peer Wireless Mesh Network

Sen, Jaydip

doi:10.1007/978-3-642-14478-3_53

Cited by 8 publications

(10 citation statements)

References 10 publications

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“…Sen et al proposed various architecture of complex detection systems based on cooperating agents [52][53][54]. The audit trails in the basic security module (BSM) of a Solaris system was exploited by Endler in designing a hybrid detection system [55]. An ANN-based hybrid detection system for detecting both signature-based and anomaly-based attacks is proposed by Ghosh & Schwartzbard [20].…”

Section: Machine Learning In Hybrid Detectionmentioning

confidence: 99%

Machine Learning Applications in Misuse and Anomaly Detection

Sen¹,

Mehtab²

2020

Security and Privacy From a Legal, Ethical, and Technical Perspective

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Machine learning and data mining algorithms play important roles in designing intrusion detection systems. Based on their approaches towards the detection of attacks in a network, intrusion detection systems can be broadly categorized into two types. In the misuse detection systems, an attack in a system is detected whenever the sequence of activities in the network match with a known attack signature. In the anomaly detection approach, on the other hand, anomalous states in a system are identified based on a significant difference in the state transitions of the system from its normal states. This chapter presents a comprehensive discussion on some of the existing schemes of intrusion detection based on misuse detection, anomaly detection and hybrid detection approaches. Some future directions of research in the design of algorithms for intrusion detection are also identified.

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Section: Machine Learning In Hybrid Detectionmentioning

confidence: 99%

Machine Learning Applications in Misuse and Anomaly Detection

Sen¹,

Mehtab²

2020

Security and Privacy From a Legal, Ethical, and Technical Perspective

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“…In (Ozdemir, 2007), a secure and reliable data aggregation scheme -SELDA-is proposed that makes use of the concept of web of trust. Trust and reputation based schemes have been extensively used for designing security solutions for multi-hop wireless networks like mobile ad hoc networks (MANETs), wireless mesh networks (WMNs) and WSNs (Sen, 2010b;Sen, 2010c;Sen 2010d). In this scheme, sensor nodes exchange trust values in their neighborhood to form a web of trust that facilitates in determining secure and reliable paths to aggregators.…”

Section: Deng Et Al Proposed a Collection Of Mechanisms For Securingmentioning

confidence: 99%

Secure and Privacy-Preserving Data Aggregation Protocols for Wireless Sensor Networks

Sen¹

2012

Cryptography and Security in Computing

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Wireless sensor networks (WSNs) are made up of a large number of tiny sensors, which can sense, analyze, and communicate information about the outside world. These networks play a significant role in a broad range of fields, from crucial military surveillance applications to monitoring building security. Key management in WSNs is a critical task. While the security and integrity of messages communicated through these networks and the authenticity of the nodes are dependent on the robustness of the key management schemes, designing an efficient key generation, distribution, and revocation scheme is quite challenging. While resource-constrained sensor nodes should not be exposed to computationally demanding asymmetric key algorithms, the use of symmetric key-based systems leaves the entire network vulnerable to several attacks. This chapter provides a comprehensive survey of several well-known cryptographic mechanisms and key management schemes for WSNs.

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“…Ozdemir has proposed a secure and reliable data aggregation scheme that makes use of web of trust among the nodes in a WSN [14]. The concepts of trust and reputation have been extensively used for designing security protocols for multi-hop wireless networks like mobile ad hoc networks (MANETs), wireless mesh networks (WMNs) and WSNs [15,16,17]. In the scheme proposed by Ozdemir, sensor nodes exchange trust values in their neighborhood to form a web of trust that facilitates in determining secure and reliable paths to the aggregator nodes.…”

Section: Cam Et Al Proposed An Energy-efficient Secure Patter-based D...mentioning

confidence: 99%

Secure and energy-efficient data aggregation in Wireless Sensor Networks

Sen¹

2012

2012 2nd National Conference on Computational Intelligence and Signal Processing (CISP)

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Abstract-Data aggregation in intermediate nodes (called aggregator nodes)is an effective approach for optimizing consumption of scarce resources like bandwidth and energy in Wireless Sensor Networks (WSNs). However, in-network processing poses a problem for the privacy of the sensor data since individual data of sensor nodes need to be known to the aggregator node before the aggregation process can be carried out.In applications of WSNs, privacy-preserving data aggregation has become an important requirement due to sensitive nature of the sensor data. Researchers have proposed a number of protocols and schemes for this purpose. He et al. (INFOCOM 2007) have proposed a protocol -called CPDA -for carrying out additive data aggregation in a privacy-preserving manner for application in WSNs. The scheme has been quite popular and well-known. In spite of the popularity of this protocol, it has been found that the protocol is vulnerable to attack and it is also not energy-efficient. In this paper, we first present a brief state of the art survey on the current privacypreserving data aggregation protocols for WSNS. Then we describe the CPDA protocol and identify its security vulnerability. Finally, we demonstrate how the protocol can be made secure and energy efficient.

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A Trust-Based Detection Algorithm of Selfish Packet Dropping Nodes in a Peer-to-Peer Wireless Mesh Network

Cited by 8 publications

References 10 publications

Machine Learning Applications in Misuse and Anomaly Detection

Machine Learning Applications in Misuse and Anomaly Detection

Secure and Privacy-Preserving Data Aggregation Protocols for Wireless Sensor Networks

Secure and energy-efficient data aggregation in Wireless Sensor Networks

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