Markov Chain-Based Trust Model for Analyzing Trust Value in Distributed Multicasting Mobile Ad Hoc Networks

Chang, Ben-Jye; Kuo, Szu-Liang; Liang, Ying-Hsin; Wang, Deyu

doi:10.1109/apscc.2008.27

Cited by 24 publications

(11 citation statements)

References 25 publications

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“…In this work, we utilize Markov chains to model the Trust Value (TV) as a security metric of a SG device. The notion of TV is used in various networks, such as peer-to-peer networks [10], wireless sensor networks [11], Multicast Mobile Ad-hoc Networks (MANETs) [12], and vehicular networks [13]. The main contributions of this work are summarized as follows:…”

Section: A Related Work and Contributionsmentioning

confidence: 99%

Trust Management in Smart Grid: A Markov Trust Model

Pliatsios

Sarigiannidis

Efstathopoulos³

et al. 2020

2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST)

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By leveraging the advancements in Information and Communication Technologies (ICT), Smart Grid (SG) aims to modernize the traditional electric power grid towards efficient distribution and reliable management of energy in the electrical domain. The SG Advanced Metering Infrastructure (AMI) contains numerous smart meters, which are deployed throughout the distribution grid. However, these smart meters are susceptible to cyberthreats that aim to disrupt the normal operation of the SG. Cyberattacks can have various consequences in the smart grid, such as incorrect customer billing or equipment destruction. Therefore, these devices should operate on a trusted basis in order to ensure the availability, confidentiality, and integrity of the metering data. In this paper, we propose a Markov chain trust model that determines the Trust Value (TV) for each AMI device based on its behavior. Finally, numerical computations were carried out in order to investigate the reaction of the proposed model to the behavior changes of a device.

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Section: A Related Work and Contributionsmentioning

confidence: 99%

Trust Management in Smart Grid: A Markov Trust Model

Pliatsios

Sarigiannidis

Efstathopoulos³

et al. 2020

2020 9th International Conference on Modern Circuits and Systems Technologies (MOCAST)

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“…In distributed multicast networks, secure authentication and authorization are crucial issues if the members of a multicast group change frequently. To be used in such multicast ad hoc networks, Chang (2008) proposed a two-step secure authentication approach. In the first level, the trust value of each onehop neighbor is calculated by a Markov chain trust model.…”

Section: Routing Layer Trust Related Attacks and Defense Mechanismsmentioning

confidence: 99%

A Survey on Security in Wireless Sensor Networks

Korkmaz

Dağdeviren

Tekbacak

et al. 2013

Theory and Practice of Cryptography Solutions for Secure Information Systems

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Wireless Sensor Network (WSN) is a promising technology that has attracted the interest of research in the last decade. Security is one of the fundamental issues in sensor networks since sensor nodes are very resource constrained. An attacker may modify, insert, and delete new hardware and software components to the system where a single node, a specific part of the sensing area, and the whole network may become inoperable. Thus, the design of early attack detection and defense mechanisms must be carefully considered. In this chapter, the authors survey attacks and their defense mechanisms in WSNs. Attacks are categorized according to the related protocol layer. They also investigate the open research issues and emerging technologies on security in WSNs.

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“…It was proven in [8] that an ergodic Continuous-time Markov chain (CTMC) model can be used to determine the trust value by obtaining the unique steady-state probability vector. We first define variables used throughout the section in Table 1.…”

Section: B Trust Calculationmentioning

confidence: 99%

A Trust-based Approach to Mitigate Rerouting Attacks

González

Anwar

Joshi

2011

Proceedings of the 7th International Conference on Collaborative Computing: Networking, Applications and Worksharing

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One of the ways a malicious router can launch a Denial of Service (DoS) attack is by rerouting IP-packets of other destinations to the victim node. In this paper, based on the observed traffic anomalies, we propose using a Markov chain model to calculate trustworthiness of routers in order to isolate the malicious ones. Furthermore, our approach reduces the false positives by including context information, such as traffic congestion and packet corruption. By means of simulation, we validate our proposed approach in both connection-oriented (i.e., TCP) and connection-less (i.e., UDP) environments.

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Markov Chain-Based Trust Model for Analyzing Trust Value in Distributed Multicasting Mobile Ad Hoc Networks

Cited by 24 publications

References 25 publications

Trust Management in Smart Grid: A Markov Trust Model

Trust Management in Smart Grid: A Markov Trust Model

A Survey on Security in Wireless Sensor Networks

A Trust-based Approach to Mitigate Rerouting Attacks

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