Active Defense Model of Wireless Sensor Networks Based on Evolutionary Game Theory

Qiu, Yihui; Chen, Zhide; Xu, Li

doi:10.1109/wicom.2010.5601100

Cited by 19 publications

(11 citation statements)

References 8 publications

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“…The evolutionary game is fundamentally applied for the biological networks in which the players can combine pure and mixed strategies with rational behavior to enhance some population characteristics [ 21 ]. Moreover, different WSNs applications have been modeled using evolutionary game in [ 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 ].…”

Section: Games Theory For Wsns Securitymentioning

confidence: 99%

Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey

Abdalzaher

Seddik

Elsabrouty

et al. 2016

Sensors

108

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Abstract:We present a study of using game theory for protecting wireless sensor networks (WSNs) from selfish behavior or malicious nodes. Due to scalability, low complexity and disseminated nature of WSNs, malicious attacks can be modeled effectively using game theory. In this study, we survey the different game-theoretic defense strategies for WSNs. We present a taxonomy of the game theory approaches based on the nature of the attack, whether it is caused by an external attacker or it is the result of an internal node acting selfishly or maliciously. We also present a general trust model using game theory for decision making. We, finally, identify the significant role of evolutionary games for WSNs security against intelligent attacks; then, we list several prospect applications of game theory to enhance the data trustworthiness and node cooperation in different WSNs.

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Section: Games Theory For Wsns Securitymentioning

confidence: 99%

Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey

Abdalzaher

Seddik

Elsabrouty

et al. 2016

Sensors

108

View full text Add to dashboard Cite

show abstract

“…Non-cooperative game theory-based schemes could assist detection schemes in improving their performance as well as efficiency though they are not concerned with detection directly [ 182 ]. Qiu et al [ 15 ] proposed an active defense model for WSN where nodes have limited rationality of evolutionary learning ability based on evolutionary game theory. The nodes can achieve the most effective defense by adjusting their defensive strategies active and dynamic.…”

Section: Applications Of Game Theory In Wsnmentioning

confidence: 99%

Game Theory for Wireless Sensor Networks: A Survey

Shi

Wang

Kwok

et al. 2012

Sensors

211

111

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Game theory (GT) is a mathematical method that describes the phenomenon of conflict and cooperation between intelligent rational decision-makers. In particular, the theory has been proven very useful in the design of wireless sensor networks (WSNs). This article surveys the recent developments and findings of GT, its applications in WSNs, and provides the community a general view of this vibrant research area. We first introduce the typical formulation of GT in the WSN application domain. The roles of GT are described that include routing protocol design, topology control, power control and energy saving, packet forwarding, data collection, spectrum allocation, bandwidth allocation, quality of service control, coverage optimization, WSN security, and other sensor management tasks. Then, three variations of game theory are described, namely, the cooperative, non-cooperative, and repeated schemes. Finally, existing problems and future trends are identified for researchers and engineers in the field.

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“…The co-operation between the sensor nodes is essential as they are devoid of a fixed infrastructure and a centralized entity of control (Arun Korath and Vineeth 2011). The sensor nodes need to deliver its co-operation for the other interacting sensor nodes by ignoring its benefits for improving the lifetime of the network (Qiu et al 2010). The limited computational capability, energy and storage potential of sensor nodes induces selfish activity of sensor nodes.…”

Section: Introductionmentioning

confidence: 99%

Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks (SMPISCS)

Devi

Ganesan

2019

Cybersecur

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In Wireless Sensor Network (WSN), energy and packet forwarding tendencies of sensor nodes plays a potential role in ensuring a maximum degree of cooperation under data delivery. This quantified level of cooperation signifies the performance of the network in terms of increased throughput, packet delivery rate and decreased delay depending on the data being aggregated and level of control overhead. The performance of a sensor network is highly inclined by the selfish behaving nature of sensor nodes that gets revealed when the residual energy ranges below a bearable level of activeness in packet forwarding. The selfish sensor node needs to be identified in future through reliable forecasting mechanism for improving the lifetime and packet delivery rate. Semi Markov Process Inspired Selfish aware Cooperative Scheme (SMPISCS) is propounded for making an attempt to mitigate selfish nodes for prolonging the lifetime of the network and balancing energy consumptions of the network. SMPISCS model provides a kind of sensor node's behavior for quantifying and future forecasting the probability with which the node could turn into selfish. Simulation experiments are carried out through Network Simulator 2 and the performance are analyzed based on varying the number of selfish sensor nodes, number of sensor nodes and range of detection threshold.

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Active Defense Model of Wireless Sensor Networks Based on Evolutionary Game Theory

Cited by 19 publications

References 8 publications

Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey

Game Theory Meets Wireless Sensor Networks Security Requirements and Threats Mitigation: A Survey

Game Theory for Wireless Sensor Networks: A Survey

Semi Markov process inspired selfish aware co-operative scheme for wireless sensor networks (SMPISCS)

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