A Reputation Model Based on Behavior Trust in Wireless Sensor Networks

Ming-zheng, Zhou; Zhang, Yi; Wang, Jun; Zhao, Senyan

doi:10.1109/embeddedcom-scalcom.2009.42

Cited by 8 publications

(6 citation statements)

References 9 publications

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“…An agent is allotted for the management of credits based on each node's trust value [43]. [24][25][26][27][28][29][30][31][32][33][34][35][36][37] The existing approaches in Trust Management are discussed in the above table along with their methodology, performance metrics, advantages, disadvantages, simulation tools used, purpose, and trust values as key indicators to choose the suitable model according to the need [38].…”

Section: Authors Proposed a New Technique Named Esrt A New Trust And ...mentioning

confidence: 99%

Dragon Fly Algorithm based Approach for escalating the security among the nodes in Wireless Sensor Network based System

Sharma,

Kaur,

Gupta

et al. 2023

Preprint

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For specific intercommunication applications, latest advancements in technology and manufacturing have made it feasible to create substantial, significant, energy-efficient and cost-effective sensor nodes having the features like adaptability, self fulfillness, and self evolvability. In sensor networks for sustainable development, it is looked at how sensor network technologies increase social development and living quality while having little to no detrimental effects on the environment or the planet's natural resources. A wide range of applications, including the military, healthcare, traffic monitoring, and remote image sensing, benefit from the use of wireless sensor networks (WSNs). Due to the limits of sensor networks, different levels of security are required for these crucial applications, making it challenging to employ traditional algorithms. Security has arisen as one of the main problems with IoT and smart city applications, and sensor networks are also considered of as the backbone of IoTs and smart cities. Complex issues like energy consumption are covered by the WSN, making it a useful tool for selecting clusters. By injecting false and harmful data into the network and launching internal attacks, hostile nodes might quickly jeopardize its integrity. Rogue nodes will be identified using trust-based security to offer a powerful and mobile defense. Trust evaluation models are a key technique for enhancing security in Wireless Sensor Networks by enhancing dependability (cooperation) among sensor nodes. This study recommends the cutting-edge trust algorithm DFA U-Trust to address the security requirements of WSNs.

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Section: Authors Proposed a New Technique Named Esrt A New Trust And ...mentioning

confidence: 99%

Dragon Fly Algorithm based Approach for escalating the security among the nodes in Wireless Sensor Network based System

Sharma,

Kaur,

Gupta

et al. 2023

Preprint

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“…But it is not easy to get the predeployment knowledge. In [19], the authors proposed a behavior reputation method which defined the similarity and the similarity matrix by using normal differences of the status estimate vectors. However, the initialization stage of the model is based on the authentication key which is prone to attacks.…”

Section: Related Workmentioning

confidence: 99%

“…The research on establishing trusts can be classified into two categories, reputation-based [16][17][18][19] and trust establishment [20][21][22]. In the former category, trust is evaluated by direct observation and second-hand information distributed among a network.…”

Section: Related Workmentioning

confidence: 99%

“…Then the trust information can be applied to higher layer decisions such as routing [7,8], data aggregation [9], and cluster head election [10,11]. To the best of our knowledge, a number of trust management schemes have been proposed for WSNs [12][13][14][15][16][17][18][19][20][21][22], but most of them failed to establish a reasonable trust management scheme to express the subjectivity, uncertainty, and transitivity of trust characteristics in WSNs.…”

Section: Introductionmentioning

confidence: 99%

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Trust Management Scheme Based on D-S Evidence Theory for Wireless Sensor Networks

Ran

Che

Wang

et al. 2013

International Journal of Distributed Sensor Networks

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Trust management scheme has been regarded as a powerful tool to defend against the wide set of security attacks and identify malicious nodes. In this paper, we propose a trust management scheme based on revised Dempster-Shafer (D-S) evidence theory. D-S theory is preponderant in tackling both random and subjective uncertainty in the trust mechanism. A trust propagation mechanism including conditional trust transitivity and dynamic recommendation aggregation is developed for obtaining the recommended trust values from third part nodes. We adopt a flexible synthesis method that uses recommended trust only when no direct trust exists to keep a good trust-energy consumption balance. We also consider on-off attack and bad mouthing attack in our simulation. The simulation results and analysis show that the proposed method has excellent ability to deal with typical network attacks, better security, and longer network lifetime.

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“…The fundamental thought of this trust the executives plot is to support well-acting fair nodes by giving them kudos for each fruitful parcel sending while at the same time punishing suspicious nodes that don't course bundle as per the course. BRMSN Behavior reputation method for sensor networks The behavior reputation method for sensor networks [11] (BRMSN) measures the spatial data between the nodes as notoriety estimation. The model is an impression of the node's far reaching capacity about the real physical properties and direct basically.…”

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confidence: 99%

Two Level Intrusion Detection Mechanism For Context and Trust in Wireless Sensor Network

Kagade¹,

Balamurugan²

2020

IJRTE

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21st century is considered as the era of communication, and Wireless Sensor Networks (WSN) have assumed an extremely essential job in the correspondence period. A wireless sensor network is defined as a homogeneous or heterogeneous system contains a large number of sensors, namely called nodes used to monitor different environments in cooperatives. WSN is composed of sensor nodes (S.N.), base stations (B.S.), and cluster head (C.H.). The popularity of wireless sensor networks has been increased day by day exponentially because of its wide scope of utilizations. The applications of wireless sensor networks are air traffic control, healthcare systems, home services, military services, industrial & building automation, network communications, VAN, etc. Thus the wide range of applications attracts attackers. To secure from different types of attacks, mainly intruder, intrusion detection based on dynamic state context and hierarchical trust in WSNs (IDSHT) is proposed. The trust evaluation is carried out in hierarchical way. The trust of sensor nodes is evaluated by cluster head (C.H.), whereas the trust of the cluster head is evaluated by a neighbor cluster head or base station. Hence the content trust, honest trust, and interactive trust are put forward by combining direct evaluation and feedback based evaluation in the fixed hop range. In this way, the complexity of trust management is carried in a hierarchical manner, and trust evaluation overhead is minimized.

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A Reputation Model Based on Behavior Trust in Wireless Sensor Networks

Cited by 8 publications

References 9 publications

Dragon Fly Algorithm based Approach for escalating the security among the nodes in Wireless Sensor Network based System

Dragon Fly Algorithm based Approach for escalating the security among the nodes in Wireless Sensor Network based System

Trust Management Scheme Based on D-S Evidence Theory for Wireless Sensor Networks

Two Level Intrusion Detection Mechanism For Context and Trust in Wireless Sensor Network

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