Anomaly Detection in Networking Using Hybrid Artificial Immune System
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چکیده
In this chapter the anomaly detection by using Hybrid Artificial Immune Algorithm (HAIA) is presented. The HAIA is based on AIS and GA. In this research work, HAIA approach is used to develop Network Anomaly Detection System (NADS). The detector set is generated by using GA and the anomalies are identified using NSA which is based on AIS. The HAIA algorithm is tested with KDD Cup 99 benchmark dataset. The DR is used to measure the effectiveness of the NADS. The results and consistency of the HAIA are compared with earlier approaches and the results are presented.
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تاریخ انتشار 2014