TEREC: Trust Evaluation and Reputation Exchange for Cooperative Intrusion Detection in MANETs

Ebinger, Peter; Bißmeyer, Norbert

doi:10.1109/cnsr.2009.65

Cited by 14 publications

(10 citation statements)

References 12 publications

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“…The trust and confidence metrics are mapped into a single trustworthiness metric. Peter Ebinger et.al in [11] proposed a system for trust Evaluation and Reputation Exchange for cooperative intrusion detection in MANETs(TEREC). They propose to split the reputation information into two values trust and confidence.…”

Section: Background and Related Workmentioning

confidence: 99%

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Effect of Mobility on Trust in Mobile Ad-Hoc Network

Raikwar

2012

Advances in Intelligent Systems and Computing

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Abstract. In MANET environment intermediate nodes on a communication path are expected to forward packets of source node towards destination node. This enhances the communication range of mobile nodes beyond their wireless transmission range. From the security point of view a proper mechanism should be there, so that nodes can trust each other for safe delivery of their data. Therefore trust establishment is considered as an important approach to defend safe communication in MANET. In the previous years several trust models have been proposed to enhance the security of mobile ad hoc network. However an important factor, mobility of node, before establishing the trust relationship among nodes is yet not discussed. In this paper trust model is been proposed. In this model the Trustworthiness of each node is calculated with the mobility factor. Minimal configuration, quick deployment and absence of central governing authority make ad hoc networks suitable for emergency situations. Natural disasters, military conflicts are some real life scenarios where trust among nodes is very important. Thus this model will be very effective in these situations. Speed of node is used to decide on the trust value for the trustee node.

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Section: Background and Related Workmentioning

confidence: 99%

“…In [11] aging is applied to the trust and confidence values based on an observation window mechanism. In this concept a weighted average of N trust values from the past are used in order to age older values according to following equation.…”

Section: Calculation Of Trustworthiness For Two Nodesmentioning

confidence: 99%

Effect of Mobility on Trust in Mobile Ad-Hoc Network

Raikwar

2012

Advances in Intelligent Systems and Computing

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“…They provided more accurate decision with low false alarms. Ebinger et al [6] introduced a cooperative intrusion detection method for MANETs based on trust evaluation and reputation exchange. The reputation and confidence are combined with trustworthiness to improve intrusion detection.…”

Section: A Intrusion Detection Trust Management and Game Theorymentioning

confidence: 99%

Game Theoretic Framework for Reputation-Based Distributed Intrusion Detection

Bradai

Afifi

2013

2013 International Conference on Social Computing

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Host-Based Intrusion Detection Systems (HIDS) have been widely used to detect malicious behaviors of nodes in heterogenous networks. Collaborative intrusion detection can be more secure with a framework using reputation aggregation as an incentive. The problem of incentives and efficiency are well known problems that can be addressed in such collaborative environment. In this paper, we propose to use game theory to improve detection and optimize intrusion detection systems used in collaboration. The main contribution of this paper is that the reputation of HIDS is evaluated before modeling the game between the HIDS and attackers. Our proposal has three phases: the first phase builds reputation evaluation between HIDS and estimates the reputation for each one. In the second phase, a proposed algorithm elects a leader using reputation value to make decisions. In the last phase, using game theory the leader decides to activate or not the HIDS for optimization reasons.

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“…They employed the concepts of evidence chain and trust fluctuation to evaluate a node in the network, with the evidence chain detecting misbehaviors of a node, and the trust fluctuation reflecting the high variability of a node's trust value over a time window. Ebinger et al [22] introduced a cooperative intrusion detection method also for MANETs based on trust evaluation and reputation exchange. They split the reputation information into trust and confidence for reputation exchanges and then combine them into trustworthiness for intrusion detection.…”

Section: Related Workmentioning

confidence: 99%