Network Intrusion Detection System Based on Negative Selection Algorithm Reinforced by Danger Theory

Abstract

Nowadays information systems are increasingly connected to computer networks, such major openness raised many security problems; hence, implementing an effective method in intrusion detection has become of great importance. In this work, we will present a new method of intrusion detection system inspired by the human immune. In this method, we introduce the danger theory to improve the profitability of detection of negative selection algorithm.