To improve the security of wireless sensor networks, the experiment proposes a network security improvement method based on multi-objective ant colony optimization and single-path secure routing protocol. First, LEAP is used to improve the single-path secure routing algorithm to enhance the security of data during transmission; then, a multi-objective ant colony optimization algorithm is introduced to find the optimal network parameter path. The detection accuracy shows that when the time reaches 62.23 ms, the method proposed in the study has a maximum detection accuracy of 99.89%; at this time, the detection accuracy of the other three schemes is significantly less than 95.00%. When the system running time is 57.41 ms, the detection accuracy of wormhole attacks by this method begins to reach a stable state, and the detection accuracy has been infinitely close to 100% in the future. This method is applied to the Internet of Vehicles and the Enterprise Office Network respectively. When the number of intrusion nodes is 1,780 and 2,000 respectively, external intrusion can damage the key space and steal secrets. The above results show that the proposed method can not only improve network security and ensure energy efficiency, but also optimize network performance.
No takes yet. Share an insight, caveat, or question.
Xiaoyan Luo (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: