Trust‐aware secure routing protocol for wireless sensor networks

Hu, Huangshui; Han, Youjia; Wang, Hongzhi; Yao, Meiqin; Wang, Chuhang

doi:10.4218/etrij.2020-0147

Cited by 13 publications

(6 citation statements)

References 28 publications

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“…Hu et al, 27 have suggested a trust‐aware protected routing protocol for protecting against the interior attack. Initially, every path computes the complete faith values of its neighbors due to straight trust value, unintended trust value, and remaining energy.…”

Section: Literature Surveymentioning

confidence: 99%

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Blockchain enabled joint trust (MF‐WWO‐WO) algorithm for clustered‐based energy efficient routing protocol in wireless sensor network

Rajan¹,

Premalatha²,

Velliangiri

et al. 2022

Trans Emerging Tel Tech

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In this manuscript, a blockchain enabled joint trust (MF-WWO-WO) algorithm for clustered based energy efficient routing protocol in wireless sensor network (WSN) is proposed for secure data transmission by finding the optimum cluster head (CH) in the network. Here, MayflyWater Wave Optimization (MF-WWO) algorithm is used for CH selection accurately. After the selection of CH, the malicious node occurs in the cluster. Hence, the multi objective whale optimization algorithm is proposed to find the trust path from the several paths. At last, the optimized selected trust paths are given to the blockchain for communications in the network that is safe and more trustworthy. The simulation is done in MATLAB. The proposed MF-WWO-WO achieves high throughput, high efficiency, high network life time, high packet delivery ratio, low delay, low energy consumption, and low packet loss ratio. The outcomes shows the better performance of the proposed approach when compared to the existing approaches, like blockchain and clustered based secured data aware energy efficient using fitness averaged rider optimization algorithm FA-ROA blockchain and clustered based secured data aware energy efficient using trusted moth flame optimization and genetic optimization algorithm TMFO-GOA. Finally, the proposed approach attains better energy efficiency and security.

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Section: Literature Surveymentioning

confidence: 99%

“…There are several CH selection methods, 16,22,[24][25][26][27][28][29] that methods have several limitations, such as increasing delay, poor network lifetime, and low throughput and do not provide efficient CH selection. But, this proposed work overcomes all these issues and provides efficient CH selection with high throughput.…”

Section: Problem Statementmentioning

confidence: 99%

Blockchain enabled joint trust (MF‐WWO‐WO) algorithm for clustered‐based energy efficient routing protocol in wireless sensor network

Rajan¹,

Premalatha²,

Velliangiri

et al. 2022

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…In order to resist attacks such as black hole and selective forwarding, Ref. [ 36 ] proposes a trust aware secure routing protocol to resist these attacks, in which each node calculates the comprehensive trust value of its neighbors based on the direct trust, the indirect trust, the volatility factor, and the residual energy. Reference [ 37 ] proposes an atomic search sunflower optimization method to provide trust based routing.…”

Section: Common Applications Of Trustmentioning

confidence: 99%

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Xia

Wei

Zhang

2022

Computational Intelligence and Neuroscience

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The scale of wireless sensor networks changes depending on specific application tasks. How to design a relatively simple security mechanism that can extend with the expansion of network scale is an arduous task. As the wireless sensor network mostly adopts the decentralized organization form, once the network nodes are distributed adequately, it is difficult to find out the failure of any node. In addition, the node has weak resistance to physical damage, so any node in the network may potentially become a cause of security vulnerability. In this study, firstly, the security standards that wireless sensor networks should have and the current security challenges faced by the network are discussed in detail, and the importance of security issues in wireless sensor networks is pointed out. Secondly, this paper studies and analyzes the current situation of wireless sensor network security problems including the internal and external attacks and the active and passive attacks. Thirdly, this paper also discusses the significance, concept, and characteristics of reputation and trust, the division and composition of reputation and trust system, and the common applications of the reputation and trust mechanism in wireless sensor networks.

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“…Hu et al [16] provided security against the attacks by developing a Trust-aware Secure Routing Protocol (TSRP). Here, the node's trust value was calculated using the residual energy, volatilization factor, direct trust value and indirect trust value.…”

Section: Related Workmentioning

confidence: 99%

Secure and Energy Aware Cluster based Routing using Trust Centric – Multiobjective Black Widow Optimization for large scale WSN

Chada

Narsimha

2022

Int. j. electr. comput. eng. syst. (Online)

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Wireless Sensor Network (WSN) is a promising approach that is developed for a wide range of applications due to its low installation cost. However, the nodes in the WSN are susceptible to different security threats, because these nodes are located in hostile or harsh environments. Moreover, an inappropriate selection of routing path affects the data delivery of the WSN. The important goal of this paper is to obtain secure data transmission while minimizing energy consumption. In this paper, Trust Centric - Multiobjective Black Widow Optimization (TC-MBWO) is proposed for selection of Secure Cluster Head (SCH) from the large-scale WSN. Moreover, the secure routing path is generated by using the TC-MBWO, in which the factors considered for the cost function are: residual energy, distance, trust and node degree. Therefore, the secured clustering and routing achieved by using TC-MBWO, provides the resistance against malicious nodes and simultaneously the energy consumption is also minimized by identifying the shortest path. The proposed TC-MBWO method is analyzed in terms of alive nodes, dead nodes, energy consumption, throughput, and network lifetime. Here, the TC-MBWO method is compared with different existing methods such as Low Energy Adaptive Clustering Hierarchy (LEACH), Particle Swarm Optimization - Grey Wolf Optimizer (PSO-GWO), Particle-Water Wave Optimization (P-WWO) and Particle-based Spider Monkey Optimization (P-SMO). The alive nodes of the TC-MBWO are 70 for 2800 rounds which are higher in number when compared to the PSO-GWO, P-WWO and P-SMO.

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Trust‐aware secure routing protocol for wireless sensor networks

Cited by 13 publications

References 28 publications

Blockchain enabled joint trust (MF‐WWO‐WO) algorithm for clustered‐based energy efficient routing protocol in wireless sensor network

Blockchain enabled joint trust (MF‐WWO‐WO) algorithm for clustered‐based energy efficient routing protocol in wireless sensor network

Review on Security Issues and Applications of Trust Mechanism in Wireless Sensor Networks

Secure and Energy Aware Cluster based Routing using Trust Centric – Multiobjective Black Widow Optimization for large scale WSN

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