Network Intrusion Detection System Using Artificial Immune System (AIS)

Abstract

The number of computer network attacks are increasing due to the global use of Internet in our daily life. This has led to the increased risks of data stealing, hacking, privacy intrusion and others. The research on intrusion detection system (IDS) has gained significant attention due capacity. In this paper, we propose the use of Artificial Immune System (AIS) as the tool to detect the occurrence of intrusion in a computer network. In a computer network connection, many features are involved such as duration, type of protocol and type of service among others. The combination of different connection features can be grouped by using classification method. Based on this classification, IDS can be utilized to distinguish between valid and attack connections. Data from KDD Cup 99 competition were utilized in this study to determine the type of connection. The results obtained indicate that the proposed method is effective in identifying attack connections with a high success rate.