Developing Efficient Intrusion Tracking System Using Region Based Traffic Impact Measure Towards the Denial of Service Attack Mitigation

The problem of intrusion detection has been explored and handled in different articles. The researchers have proposed many approaches to solve the problem of Distributed Denial of Service (DDoS) attack towards intrusion. Still the previous approaches suffer to achieve required performance and suffer to perform DDoS attack efficiently. To solve this issue, the region orient traffic measure based denial of service attack detection approach is discussed in this paper. Any network has specific geographic region Gr, which can be split into N number of regions. Among them, for each region R_n , the traffic impact measure from other regions R_o can be estimated. The traffic impact measure is about, the traffic pattern from other region to the source and the traffic within the region. By computing internal and external impact measures, the impact measure can be estimated. Based on the computed measures, the presence of denial of service attack can be identified. By locating the region of nodes involved in DDoS attack, the mitigation can be performed efficiently. This approach could improve the performance of DDoS attack detection and mitigation with less time complexity and false ratio.