Trust-Based Attack and Defense in Wireless Sensor Networks: A Survey

Fang, Weidong; Zhang, Wuxiong; Chen, Wei; Pan, Tao; Ni, Yepeng; Yang, Yinxuan

doi:10.1155/2020/2643546

Cited by 83 publications

(74 citation statements)

References 88 publications

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“…Many scholars have made contributions to trust evaluation models and trust management schemes [29][30][31]. A complex trust evaluation model is proposed for the design of data aggregation in mobile sensor networks [32].…”

Section: Trust Evaluationmentioning

confidence: 99%

Game‐Based Trust in Complex Networks: Past, Present, and Future

Fang

Zhang

et al. 2021

Complexity

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As an efficient approach, the trust policy is implemented to defend against insider attacks in complex networks. However, the imperfection of trust relationships directly hinders the effort to quantitatively calculate trust value, especially in choosing a cooperative partner. Fortunately, the game theory is gradually concerned with addressing the above issue to further enhance security. In this paper, the game theory and the trust policy are reviewed briefly. Then, the research roadmap on game-based trust in complex networks is discussed and analysed deeply. Furthermore, some research directions in the near future are given. It is worth mentioning that our contributions not only describe the evolution of the game-based trust clearly but also suggest the trust mechanism based on the bounded rational game more suitable to uncertain information.

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Section: Trust Evaluationmentioning

confidence: 99%

Game‐Based Trust in Complex Networks: Past, Present, and Future

Fang

Zhang

et al. 2021

Complexity

Self Cite

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“…The structure of this section is similar to approach as [16]. In general, studies on the trust in WSN are often summarized based on various fields such as trust model, trust management system, and protocol optimization [17]. A classification of trust-related works is provided in Fig.…”

Section: Literature Reviewmentioning

confidence: 99%

“…Normal nodes sense environment data and transfer it to the sink. Malicious nodes are also a type of normal node that has been attacked by DoS [17].…”

Section: Network Setupmentioning

confidence: 99%

EATMR: An Energy-Aware Trust Algorithm Based the AODV Protocol and Multi-path Routing Approach in Wireless Sensor Networks

Yin

Yang

Hajiee

2021

Preprint

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Rapid developments in radio technology and processors have led to the emergence of small sensor nodes that provide communication over Wireless Sensor Networks (WSNs). The crucial issues in these networks are energy consumption management and reliable data exchange. Due to the limited resources of sensor nodes, WSNs become a vulnerable target against many security attacks. Thus, energy-aware trust-based techniques have become a powerful tool for detecting nodes’ behavior and providing security solutions in WSN. Clustering-based routings are one of the most effective methods in increasing the WSN performance. In this paper, an Energy-Aware Trust algorithm based on the AODV protocol and Multi-path Routing approach (EATMR) is proposed to improve the security of WSNs. EATMR consists of two main phases: firstly, the nodes are clustered based on the Open-Source Development Model Algorithm (ODMA), and then in the second phase, clustering-based routing is applied. In this paper, the routing process follows the AODV protocol and multi-path routes approach with considering energy-aware trust. Here, the optimal and safe route is determined based on various parameters, namely energy, trust, hop-count, and distance. In this regard, we emphasize the evaluation of node trust using direct trust, indirect trust, and a multi-objective function. The simulation has been performed in MATLAB software in the presence of a Denial of Service (DoS) attack. The simulation results show that EATMR performs better than other approaches such as M-CSO and SQEER in terms of successfully detecting malicious nodes and enhancing network lifetime, energy consumption, and packet delivery ratio.

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“…In wireless sensor networks, or WSNs, individual sensors are resource constraint devices with limited computing power and memory capacity, and they are usually deployed in unattended areas where adversaries could possibly physically take over a sensor and obtain the secret information stored within the sensor. However, traditional security schemes such as cryptography and authentication are mainly applied to defend against the external attacks rather than the internal ones [1]. Some studies demonstrate reputation or trust mechanism is becoming an effective approach to detect and defend against the internal attacks for WSNs [2].…”

Section: Introductionmentioning

confidence: 99%

Binomial Distribution Based Reputation for WSNs: A Comprehensive Survey

2021

KSII TIIS

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Trust-Based Attack and Defense in Wireless Sensor Networks: A Survey

Cited by 83 publications

References 88 publications

Game‐Based Trust in Complex Networks: Past, Present, and Future

Game‐Based Trust in Complex Networks: Past, Present, and Future

EATMR: An Energy-Aware Trust Algorithm Based the AODV Protocol and Multi-path Routing Approach in Wireless Sensor Networks

Binomial Distribution Based Reputation for WSNs: A Comprehensive Survey

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