融合交互信誉度与RSSR的WSNs女巫攻击检测策略

doi:10.13229/j.cnki.jdxbgxb.20230919

Abstract

Abstract:

In order to resist Sybil attacks in wireless sensor networks and protect data privacy， this paper proposes a Sybil attack detection strategy for wireless sensor networks integrating interactive reputation and received signal strength ratio（SD-IR&SR） in wireless sensor networks. Introducing reputation maintenance functions and anomaly correction factors in calculating node interaction reputation values to reduce the impact of historical interaction behavior on reputation values. Establish a global reputation value matrix to calculate the average global reputation value of each node， ensuring the fairness of node reputation values. Set nodes with a global reputation average lower than the reputation threshold as untrustworthy nodes， and set up monitoring nodes to use RSSR value comparison method for detection to determine whether the node is a Sybil node. The simulation results show that SD-IR&SR can effectively detect Sybil nodes in the network， in a network where witch nodes account for 50%， it can still maintain a low packet loss rate， ensure data integrity， low latency transmission， and improve the security of wireless sensor networks.

Key words: interactive reputation value, received signal strength ratio, sybil attacks, wireless sensor network, reputation value

CLC Number:

TN92

Zhi-jun TENG,Li-bo YU,Ming-zhe LI,Run-sheng MIAO,Ji-hong WANG. WSNs sybil attack detection strategy integrating interactive reputation and RSSR[J].Journal of Jilin University(Engineering and Technology Edition), 2025, 55(7): 2455-2463.

Figures/Tables 15

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Table 1

Simulation parameters"

参数	值或范围
网络部署区域/m²	100×100
网络中节点数量/个	100
节点通信半径/m	20
节点初始能量/J	1
节点初始信誉值	0.5
数据包大小/bit	800
收发能耗/（nJ·bit^-1）	50
放大器能耗/［pJ·（bit·m²）^-1］	10
数据包分组发送间隔/s	2
链路正常丢包率	0.005~0.125
Sybil节点丢包率	0.2~0.8
$Γ$	150

Table 1

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