Campus Wireless Network Training Security Risk Assessment System Based on Intelligent Control Algorithm

• Published in: Proceedings (International Confernce on Computational Intelligence and Communication Networks) pp. 572 - 578
• Main Author: Chen, Keyang
• Format: Conference Proceeding
• Language: English
• Published: IEEE 22.12.2024
• Subjects: Campus Wireless Network; Computer networks; Information systems; Intelligent control; Intelligent Control Algorithm; Prevention and mitigation; Real-time systems; Security; Security Risk Assessment; Security Risks; Stability analysis; Time factors; Training; Wireless networks
• ISSN: 2472-7555
• DOI: 10.1109/CICN63059.2024.10847396

In recent years, due to the popularity of computer networks, campus wireless network security has received attention from people. The campus wireless network training security risk assessment system can collect and store real-time data services and security accident information in the campus wireless network. This article adopted Intelligent Control Algorithm (ICA) to analyze and process the collected data, and identify potential safety hazards. This article conducted real-time monitoring of campus wireless networks and quickly responds to them. By setting different attack scenarios, this article evaluated the security of campus wireless networks using ICA and compared them with traditional methods. The detection rate based on ICA in simple attacks was 98%, while the detection rate of traditional methods was 85%. The detection rate based on ICA in moderate attacks was 95%, while the detection rate of traditional methods was 78%. The campus wireless network training security risk assessment system based on ICA helps to prevent and manage security risks, promoting harmonious development of the campus.