Abstract
In wireless sensors networks, nodes may be easily captured and act non-cooperatively, for example by not defending forwarding packets in response to their own limited resources. If most of these nodes are obtained by attackers, and an attack by an internal malicious node occurs, the entire network will be paralyzed and not be able to provide normal service. Low power consumption indicates that the rational sensor nodes tend to be very close to the mean; high power consumption indicates that the rational sensor nodes are spread out over a large range of values. This paper offers an active defense model for wireless sensor networks based on evolutionary game theory. We use evolutionary game theory to analyze the reliability and stability of a wireless sensor network with malicious nodes. Adding a defense model into the strategy space of the rational nodes and establishing a preventive mechanism forces the malicious node to abandon the attack and even switch to cooperative strategies. Thus, this paper argues that the stability and reliability of wireless sensor networks can be improved. Numerical experiments were conducted to evaluate the proposed defense model, and these results verified our conclusions based on a theoretical analysis that showed that, compared with the existing algorithms, our approach has lower energy consumption, lower deviation, and a higher probability to quickly switch each node to cooperative strategies.
Highlights
A wireless sensor network (WSN) is a network constructed through the self-organization of a large number of sensor nodes
1–3 show that our goal considered improving security while reducing the deviations for wireless sensor networks
The final network converges into the equilibrium state of malicious node cooperation and all the rational nodes choose defense, so the wireless sensor network can effectively avoid the attacker behavior of the malicious node
Summary
A wireless sensor network (WSN) is a network constructed through the self-organization of a large number of sensor nodes. Qiu et al [1] proposed an active defense model for WSNs in which the sensor nodes can be dynamic and active, so as to adjust their defensive strategies, thereby achieving an effective defense against different approaches used by attackers. Chen et al [10] proposed a proactive defense model for wireless sensor networks, in which the node’s limited ability to learn the evolution of rationality from different attack strategies of the attacker was emphasized, and the node could dynamically adjust its strategy to achieve the most effective defense. Our model uses game theory to construct prevention strategies for wireless sensor networks, and allows the malicious node to abandon the attack and even cooperate to effectively improve the reliability and stability of those networks
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