Trust establishment in cooperative wireless relaying networks

Changiz, Reyhaneh; Halabian, Hassan; Yu, F. Richard; Lambadaris, Ioannis; Tang, Helen

doi:10.1002/wcm.2271

Cited by 6 publications

(6 citation statements)

References 39 publications

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“…where P c is the a priori probability of the relay being cooperative, which can be estimated from the history of detection [14], and f (ρ misbehaving) and f (ρ cooperative) are conditional distributions of ρ with a known misbehaving pattern, which can be obtained based on the asymptotic analysis (Sec. III-B).…”

Section: A Proposed Tracing-based Noncoherent Detection Of Misbehavimentioning

confidence: 99%

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Noncoherent Detection of Misbehaving Relays in Decode-and-Forward Cooperative Networks

Huang

Chang

et al. 2015

IEEE Commun. Lett.

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This letter considers a three-node cooperative network with an untrusted relay. We propose a noncoherent relay misbehavior detection scheme for decode-and-forward (DF) systems based on the correlation among channel estimates at the destination under quasistatic channels. The proposed scheme does not require instantaneous channel state information and can detect arbitrary misbehavior patterns and various signal constellations. An asymptotic analysis of the proposed correlationbased detection statistic is conducted to facilitate characterizing the detection performance given a specific misbehaving pattern and customizing the detector to meet a specified system requirement. Simulation results validate the analysis and demonstrate improved performance of the proposed scheme in various relay misbehaving scenarios.Index Terms-Cooperative networks, decode-and-forward, relay misbehavior detection, noncoherent communication.1089-7798 (c)

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Section: A Proposed Tracing-based Noncoherent Detection Of Misbehavimentioning

confidence: 99%

“…Thus, (α, β 1 , β 2 ) are conditionally independent. This leads to the conditional mean of ρ being µ ρ|h rd = µ α|h rd E 1 √ β1 h rd 2 = 0 and the conditional variance of ρ in (14).…”

Section: B Asymptotic Analysismentioning

confidence: 99%

Noncoherent Detection of Misbehaving Relays in Decode-and-Forward Cooperative Networks

Huang

Chang

et al. 2015

IEEE Commun. Lett.

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“…Changiz et al . stated that Bayesian methodology is not applicable in cooperative wireless networks because channel status and relay selection strategy affects trust evaluation in such networks. They proposed a trust establishment method, which modifies Bayesian methodology to evaluate trustworthiness of relay nodes in such networks.…”

Section: Related Workmentioning

confidence: 99%

“…ARANz enhances some QoS parameters such as packet delivery ratio, packet routing load, and packet network load, but it suffers from average packet latency due to use of digital signature and verification mechanisms in each node. Changiz et al [27] stated that Bayesian methodology is not applicable in cooperative wireless networks because channel status and relay selection strategy affects trust evaluation in such networks. They proposed a trust establishment method, which modifies Bayesian methodology to evaluate trustworthiness of relay nodes in such networks.…”

Section: Related Workmentioning

confidence: 99%

Trust‐based routing method using a mobility‐based clustering approach in mobile ad hoc networks

RahimiZadeh

Kabiri

2013

Security Comm Networks

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Quality of service (QoS) provisioning in mobile ad hoc networks (MANETs) is one of the fundamental concerns in this area. Autonomous mobility of nodes is one of the main factors affecting the network QoS. A lack of fixed infrastructure and central control on the nodes complicate guaranteeing the QoS in MANETs. Security is a major factor affecting the QoS in such networks. This paper proposes a new routing method based on trust among the nodes and applies a clustering approach to MANETs. This routing scheme can calculate the trustworthiness of the route and the shortest routes to the destination by avoiding identified malicious nodes. The effects of node mobility and number of malicious nodes on routing performances are investigated in the reported research. Simulation is used to show the effectiveness of the proposed approach in comparison with a categorized trust method, Ad hoc On‐demand Distance Vector, trust vector‐based Ad hoc On‐demand Distance Vector, and trust vector‐based dynamic source routing in terms of end‐to‐end delay, network throughput, and packet delivery ratio at the expense of a moderate increase in the routing overhead. The proposed trust‐based routing method finds the trustworthy route by applying end‐to‐end trust calculation and finds the optimal route by performing clustering scheme from the source node to the destination node. In the extended proposed routing method, adding a nonce‐based encryption scheme results in improved packet delivery ratio, network throughput, and malicious node detection rate. Copyright © 2013 John Wiley & Sons, Ltd.

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“…• Recent works [122,123] in the MANETs research areas have shown that trustbased approaches can be very effective in enhancing the security performance of wireless networks.…”

Section: Introductionmentioning

confidence: 99%

Trust Management for Security Enhancements in Ad hoc Networking Paradigms with Uncertain Reasoning

Wei¹

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Trust-based schemes are promising techniques to tackle inside attacks in distributed self-organized networks, such as mobile ad hoc networks and vehicular ad hoc networks. For the outside attackers, access control, authorization and authentication by cryptography can effectively thwart most of them. For the inside attackers, prevention based schemes such as cryptographic techniques are usually powerless. In the trust management system, trust is defined as the degree of belief that an entity can behave correctly in an observer's perspective. Compared to prevention-based schemes, detection-based schemes, such as trust management, dynamically estimate the internal nodes behavior. Based on the results of the estimation, the detection system makes the decision whether the node is a malicious attacker. These detectionbased schemes introduce a large amount of uncertainties due to the unpredictable behavior of each node in the networks. Therefore, in the trust management system, accurate trust assessment is playing a key role in the trust management. It is significantly affected by uncertainty. In order to obtain accurate trust of each entity in the network, we apply uncertain reasoning, coming from the artificial intelligence field, to trust management in the emerging networking paradigms. In this dissertation, we focus on trust management with the probability methodologies. This is because that Bayesian probability can formulate the trust in distributed self-organized networks better than rule-based schemes. Under the framework of uncertain reasoning, we adopt three approaches to evaluate trust accurately: v Table of Contents vi List of Tables xi List of Figures xii

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Trust establishment in cooperative wireless relaying networks

Cited by 6 publications

References 39 publications

Noncoherent Detection of Misbehaving Relays in Decode-and-Forward Cooperative Networks

Noncoherent Detection of Misbehaving Relays in Decode-and-Forward Cooperative Networks

Trust‐based routing method using a mobility‐based clustering approach in mobile ad hoc networks

Trust Management for Security Enhancements in Ad hoc Networking Paradigms with Uncertain Reasoning

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