A game theoretic trust model for on-line distributed evolution of cooperation inMANETs

Mejía, Marcela; Peña, Néstor; Muñoz, José L.; Esparza, Óscar; Alzate, Marco A.

doi:10.1016/j.jnca.2010.09.007

Cited by 61 publications

(31 citation statements)

References 33 publications

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“…Zhang et al [23] proposed a dynamic trust establishment and management framework, and a trust varying function is defined to generate certain weight value for adapting to the dynamic changes of the network. Mejia et al [24] proposed a trust evaluation model with game theoretic for online distributed evolution. Considering that the game theory is an auxiliary method for decision making rather than a prediction tool, it may not be suitable for resolving the trust problem of the sensor node.…”

Section: Related Workmentioning

confidence: 99%

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

Wang

Zhang

Shu

2018

J Wireless Com Network

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Due to the limitation of battery power, processing capacity, and storage, the sensor nodes are easy to be captured, destroyed, or attacked in an open environment. As a result, the security and reliability of data transmission cannot be guaranteed. In order to resist the internal attacks from malicious nodes, an ant colony optimization algorithm for secured routing based on trust sensing model (ACOSR) in wireless sensor networks is proposed. Firstly, a reliable evaluation model of trust perception is presented, which can estimate the node's trust value derived from its behavior to identify or isolate the malicious nodes effectively. The penalty function and regulator function are applied to reflect the effect of state changes on the trust value according to the node's behavior in the process of the communication. Secondly, the trust evaluation model is introduced into the ant colony routing algorithm to improve the security for data forwarding. The simulation results show that the proposed algorithm has improved the performance significantly in terms of packet loss rate, end to end delay, throughput, and energy consumption and demonstrates good resistance to black hole attack.

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Section: Related Workmentioning

confidence: 99%

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

Wang

Zhang

Shu

2018

J Wireless Com Network

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“…The basic idea of trust management scheme is to quantify trust to describe the trustworthiness, reliability, or competence of individual nodes [6]. To the best of our knowledge, lots of state-of-the-art models [3,[7][8][9][10][11][12][13][14][15][16][17][18][19][20][21] have been proposed in this field. Undoubtedly, the present achievements have greatly promoted related research.…”

Section: International Journal Of Distributed Sensor Networkmentioning

confidence: 99%

A Credible Bayesian-Based Trust Management Scheme for Wireless Sensor Networks

Ran

Han

Liu³

et al. 2015

International Journal of Distributed Sensor Networks

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With the rapid development of wireless sensor networks (WSNs), the security of WSNs is an important issue in this field because of their vulnerabilities to attacks. Designing a reasonable trust management scheme that can evaluate the trust relationships among sensor nodes accurately is a challenging but meaningful task. In this paper, a credible Bayesian-based trust management scheme (BTMS) is proposed. The overall trust value is aggregated by both direct and indirect trust information. The former is calculated by a modified Bayesian equation and updated by a sliding window. The latter is computed by recommendations from a third party. Moreover, the indirect trust computation is invoked conditionally according to the uncertainty of direct trust calculated via Entropy Theory and malicious feedbacks are excluded. Meanwhile, different recommendations are appropriately weighted in light of the trust levels of recommenders. Simulations are conducted and the results show that, compared with existing approaches, the proposed trust model performs better in defeating attacks.

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“…A very close non-cooperative trust model is adapted for best neighbor strategy-based routing [60,61] and maximum payoff strategy best neighbor routing [62]. We take as reference the non-cooperative game model of Mejia et al [63].…”

Section: Trust-based Secure Routingmentioning

confidence: 99%

EigenTrust-based non-cooperative game model assisting ACO look-ahead secure routing against selfishness

Subbaraj¹,

Savarimuthu²

2014

J Wireless Com Network

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In mobile ad hoc networks (MANETs), selfish behavior is observed when nodes fail to forward data packets which are actually intended. This is generally assumed to be a kind misbehavior which might interrupt the network operations. Here, we propose a QoS-constrained EigenTrust-based non-cooperative game model for secure fault-tolerant ant look-ahead routing which attempts to identify trusted valid route and look-ahead route pairs which might help in choosing the alternate path in case of valid route failure. Simulation results illustrate that the proposed trust-based secure routing is able to accurately distinguish malicious nodes from good nodes with a limited overhead.

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A game theoretic trust model for on-line distributed evolution of cooperation inMANETs

Cited by 61 publications

References 33 publications

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

An emerging intelligent optimization algorithm based on trust sensing model for wireless sensor networks

A Credible Bayesian-Based Trust Management Scheme for Wireless Sensor Networks

EigenTrust-based non-cooperative game model assisting ACO look-ahead secure routing against selfishness

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