Anti-malicious Attack of Wireless Sensor Hospital Networks Based on Improved Particle Swarm Optimization Algorithm

Abstract

Abstract In view of the problem that the current wireless sensor network is vulnerable to malicious attacks, mainly in hospitals where it is very important for data about each person to be secure, the security and stability of the wireless sensor network can be better guaranteed. An improved anti-malicious attack method for wireless sensors in hospital networks based on improved particle swarm optimization is proposed. The distributed network attack detection algorithm is used to calculate the trust value of the data packet in the wireless network. By setting the threshold value of the trust value, when the wireless network data packet trust value is less than the set threshold, a network malicious attack occurs. In order to protect the security of the network, it is necessary to block the malicious intrusion of the network with the lowest cost. The improved particle swarm optimization algorithm is used to solve the attack model, and the optimized solution of the minimum key strategy set of the attack graph is obtained, which successfully blocks the attack of the malicious network. The experimental results show that the proposed method has a long duration of anti-malicious attacks on wireless sensor networks, and the network vulnerability after anti-malware attacks is low.