Lightweight Trust Model for Clustered WSN

Singh, Moutushi; Sardar, Abdur Rahaman; Sahoo, Rashmita; Majumder, Koushik; Ray, Sudhabindu; Sarkar, Subir Kumar

doi:10.1007/978-3-319-12012-6_85

Cited by 9 publications

(5 citation statements)

References 11 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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“…Singh et al [45] proposed a dynamic, adaptive and lightweight trust evaluation scheme for decentralized WSN. It calculates direct trust (using successful and unsuccessful interactions) and indirect trust (using reputation scheme) to quantize nodes as trusted or untrusted.…”

Section: Related Workmentioning

confidence: 99%

A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks

et al. 2019

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With the wide applications of wireless sensor networks (WSNs) in various fields, such as environment monitoring, battlefield surveillance, healthcare, and intrusion detection, trust establishment among sensor nodes becomes a vital requirement to improve security, reliability, and successful cooperation. The existing trust management approaches for large-scale WSN are failed due to their low dependability (i.e., cooperation), higher communication, and memory overheads (i.e., resource inefficient). In this paper, we propose a novel and comprehensive trust estimation approach (LTS) for large-scale WSN that employs clustering to improve cooperation, trustworthiness, and security by detecting malicious (faulty or selfish) sensor nodes with reduced resource (memory and power) consumption. The proposed scheme (LTS) operates on two levels, namely, intra-cluster and inter-cluster along with distributed approach and centralized approach, respectively, to make accurate trust decision of sensor nodes with minimum overheads. LTS consists of unique features, such as robust trust estimation function, attack resistant, and efficient trust aggregation at the cluster, head to obtain the global feedback trust value. Data trust along with communication trust plays a significant role to cope with malicious nodes. In LTS, punishment and trust severity can be tuned according to the application requirement, which makes it an innovative LTS. Moreover, dishonest recommendations (outliers) are eliminated before aggregation at the base station by observing the statistical dispersion. The theoretical and mathematical validations along with simulation results exhibit the great performance of our proposed approach in terms of trust evaluation cost, prevention, and detection of malicious nodes as well as communication overhead.INDEX TERMS Trust management, data trust, communication trust, attack mitigation.

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“…Wang et al (2014) made the computations modest to reduce the energy consumption of WSNs. Later, a Lightweight Trust Model (LTM) was introduced by Singh et al (2015), which has a dynamic trust building mechanism. Che et al (2015) combined Bayesian and Entropy in their cluster approach to evaluating trust.…”

Section: Framework and Trust Modelsmentioning

confidence: 99%

Improving the Resilience of Wireless Sensor Networks Against Security Threats: A Survey and Open Research Issues

Ali

Balushi

Nadir³

et al. 2018

IJTech

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Wireless Sensor Network (WSN) technology has gained importance in recent years due to its various benefits, practicability and extensive utilization in diverse applications. The innovation helps to make real-time automation, monitoring, detecting and tracking much easier and more effective than previous technologies. However, as well as their benefits and enormous potential, WSNs are vulnerable to cyber-attacks. This paper is a systematic literature review of the security-related threats and vulnerabilities in WSNs. We review the safety of and threats to each WSN communication layer and then highlight the importance of trust and reputation, and the features related to these, to address the safety vulnerabilities. Finally, we highlight the open research areas which need to be addressed in WSNs to increase their flexibility against security threats.

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Lightweight Trust Model for Clustered WSN

Cited by 9 publications

References 11 publications

Trust Management in Smart Grid: A Markov Trust Model

Trust Management in Smart Grid: A Markov Trust Model

A Novel and Comprehensive Trust Estimation Clustering Based Approach for Large Scale Wireless Sensor Networks

Improving the Resilience of Wireless Sensor Networks Against Security Threats: A Survey and Open Research Issues

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