Design and Implementation of Intrusion Detection System Based on Deep Learning
Shihao Wang, Zhefan Chen, Jin Chen, Peiwen Zhu · 2023
There are plenty of ways to defend against cyber-attacks. The practice of intrusion detection systems, which is one of the significant means to ensure network security, can attain effective defence. The network-based intrusion detection system can realize the real-time detection and defence of abnormal behaviours. It analyses the real-time data traffic by means of rule matching, machine learning methods, etc. to attain the purpose of detection. We utilize a deep learning method that applies convolutional neural networks to analyse and process data traffic to acquire the overall operating efficiency of the system. And the experimental results prove the performance of the system.