Wireless Communication Security Defense and Monitoring in Smart Grids

With the development of smart grids, wireless communication security issues have become increasingly prominent, including data eavesdropping, denial of service attacks, malicious software, and physical layer threats, which pose a serious threat to the stability and security of smart grid systems. In response to this situation, this article studies the security protection and monitoring of wireless communication in smart grids. A comprehensive security defense and monitoring structure is constructed by using the long short-term memory network technology. Firstly, through the analysis of existing protection mechanisms, a defense and monitoring system integration scheme based on a data sharing platform is proposed. Secondly, functional test, performance test, and security test are conducted based on the proposed system architecture. The low orbit ion cannon (LOIC) tool is used to simulate distributed denial of service (DDoS) attacks and verify the performance of the system under different attack intensities. At the same time, load test is conducted using Apache JMeter to evaluate the performance of the system under high loads. Finally, penetration test is carried out using the Metasploit tool to evaluate the system’s ability to resist various attacks. The experimental results show that the accuracy of the system remains between 82.2% and 96.5% under attack frequency of 500–5000 times per second in the functional test, and the response time is extended from 120 milliseconds to 390 milliseconds, indicating high protection capability in low-intensity attacks. The performance test results show that when the number of concurrent requests increases from 500 to 5000, the CPU utilization increases from 30–99%; the memory usage increases from 150MB to 550MB; the system response time is significantly prolonged, reflecting the performance bottleneck under high-load conditions. In the security test, the blocking rates of SQL (structured query language) injection and cross-site scripting (XSS) attacks reach 98% and 97% respectively, demonstrating the system’s effective defense capability against various attacks. In summary, this article provides an effective solution for the security protection of smart grids and points out the shortcomings of the system under high-intensity attacks and loads, providing important references for future research.