A Light Weight Trust based Secure and Energy Efficient Clustering in Wireless Sensor Network: Honey Bee Mating Intelligence Approach

Sahoo, Rashmita; Singh, Moutushi; Sahoo, Biswa Mohan; Majumder, Koushik; Ray, Sudhabindu; Sarkar, Subir Kumar

doi:10.1016/j.protcy.2013.12.390

Cited by 30 publications

(13 citation statements)

References 7 publications

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“…Also, it gives better efficiency in terms of energy and storage. Sahoo et al [81] have used a honey bee optimization approach to develop an energy-efficient trust management model in WSN. The honey bee approach is based on a herd-based model.…”

Section: Distributed Trust Managementmentioning

confidence: 99%

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Gautam

Kumar

2021

SN Appl. Sci.

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Wireless sensor networks (WSN) are the new speed-accelerating technologies worldwide and are used continuously in a range of critical applications. Any damage or compromise to data security could have physical and direct effects on network efficiency and safety. One of the active areas of research is key management, authentication, and trust management in wireless sensor networks (WSN). Since researchers have provided many protection schemes, it is difficult to select which key management or trust management schemes in a specific WSN application suit best. We did a detailed survey in our paper on how the properties of various trust management, authentication, and key management schemes can be used for specific applications. Based on this review, we present the methodologies, advantages, and limitations of the previously proposed key management, authentication, and trust management scheme in WSN. The goal of this thorough analysis is to compare and find the correct security solution that successfully meets the requirements of the application. Moreover, the strength, weaknesses, and open problems are added that can extend more frontiers to get the best security solutions in the future.s

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Section: Distributed Trust Managementmentioning

confidence: 99%

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Gautam

Kumar

2021

SN Appl. Sci.

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“…Recommendation, observation, reputation, knowledge and context were utilized to measure the trust value [13]. The outcome received from the computation is then represented with the access rights to decide the action necessary [8]. Trust-Based Secure Routing provides better data transmission.…”

Section: Related Workmentioning

confidence: 99%

Dempstershafer Theory and Encounter Based Trust Routing in Mobile Ad Hoc Network

kumar*

2020

IJRTE

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Mobile Ad hoc Network (MANET) is a particularly disputed network because of its particular features, for example, active topography, decentralization, as well as neighbor depend routing. In MANET, any mobile nodes can connect or disappear arbitrarily; thus, mobile nodes cannot awake which node is it joined with, and this creates resources been dealt between unknown nodes that can be trusted or not. As a result, without any trustworthiness makes the main susceptibility in security concerned aspects of the MANET. In this situation, trust value employs a vital function in all network performance. This paper introduces DempsterShafer theory and Encounter based Trust Routing (DETR) in a MANET. In this scheme, the direct trust and indirect trust is used to compute the mobile node trust. The node cooperation and encounter rate parameters measure the node direct trust in the network. The node indirect trust is computed based on the neighbour node opinion using DempsterShafer theory. Simulation results demonstrate that DETR detecting untrustable nodes in the network.

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“…Thus, selection of best cluster heads with trusted information becomes critical for the overall performance. In general, establishing trust in a network gives many benefits such as the following (Sahoo et al 2013b):…”

Section: Literature Surveymentioning

confidence: 99%

“…Trust of a sensor node is calculated from the past transactions of that node and from the recommendations given by other neighbor nodes of the cluster to guarantee whether the sensor node is a benign or malicious. Trust value defines the level of confidence of a node n i on neighbor node n j based on the performance of assigned task (Sahoo et al 2013b). Each sensor node notices the conduct of its neighbor to find trust and maintains a record comprised of trust metrics.…”

Section: Role Of Trust In Cluster Head Selectionmentioning

confidence: 99%

A bio inspired and trust based approach for clustering in WSN

Sahoo

Sardar²,

Singh

et al. 2015

Nat Comput

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Wireless sensor network (WSN) is a special kind of ad-hoc network consists of battery powered low cost sensor nodes with limited computation and communication capabilities deployed densely in a target area. Clustering in WSN plays an important role because of its inherent energy saving capability and suitability for highly scalable network. This paper is an extended version of our previous work (Sahoo et al. 2013a). Although the clustering strategy presented in this paper is same as our previous work but here a light weight dynamic TRUST model along with honey bee mating algorithm is presented, which will only prevent malicious node to be a cluster head. The choice of light weight TRUST model makes our clustering method more secure and energy efficient, which are most pivotal issues for resource constrained sensor network. We have also introduced a priority scheme among the trust metrics which is more realistic.Furthermore, the use of honey bee mating algorithm finds most appropriate node as cluster head. Simulation results are also presented here to compare the performance of our algorithm with low energy adaptive clustering hierarchy and advertisement time-out driven bee mating approach to maintain fair energy level in sensor networks.

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A Light Weight Trust based Secure and Energy Efficient Clustering in Wireless Sensor Network: Honey Bee Mating Intelligence Approach

Cited by 30 publications

References 7 publications

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

A comprehensive study on key management, authentication and trust management techniques in wireless sensor networks

Dempstershafer Theory and Encounter Based Trust Routing in Mobile Ad Hoc Network

A bio inspired and trust based approach for clustering in WSN

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