计算机应用与软件2024，Vol.41Issue(7)：323-328,6.DOI:10.3969/j.issn.1000-386x.2024.07.046
遗传算法与模糊理论结合的传感网络防御算法
WIRELESS SENSOR NETWORK DEFENSE ALGORITHM BASED ON GENETIC ALGORITHM AND FUZZY THEORY
摘要
Abstract
The communication link of wireless sensor networks(WSNs)is not as private and controllable as wired network,and its robustness is not strong in the face of false endorsement insertion attacks(FEIAs).In view of this,this paper combines the genetic algorithm and fuzzy theory,and proposes an adaptive defense scheme(ACS).Aiming at the problem that ACS scheme was prone to misjudge FEIAs,this paper focused on the selection of safety parameters.And this scheme was simulated.The simulation results show that compared with the traditional ACS scheme,the combined defense algorithm reduces the storage requirements and computational complexity,improves the detection accuracy,and can be effectively implemented by a single WSN model,so as to realize the adaptive optimization of fuzzy system.关键词
无线传感器网络/伪装认可攻击/模糊理论/遗传算法Key words
Wireless sensor networks/Endorsement insertion attacks/Fuzzy theory/Genetic algorithm分类
信息技术与安全科学引用本文复制引用
李环..遗传算法与模糊理论结合的传感网络防御算法[J].计算机应用与软件,2024,41(7):323-328,6.基金项目
基于机器学习算法的科技成果转化精准推荐模型研究(2018KTSCX222). （2018KTSCX222）
