Cyber Attack Classification using Game Theoretic Weighted Metrics Approach
Bimal Kumar Mishra, Hemraj Saini · 2009
We propose a classification approach of cyber attack which uses characteristics metrics and game theoretic approach to classify the attacks to their closest category. The standard weights of the metrics are used as the base line to classify the cyber attacks in the proper category. The approach is simple and extendible; as new characters of the newly identified attacks can be added to the attack characteristic metrics and the corresponding unique weight to the character are assigned by the proposed formula. Besides this, the proposed approach clearly represents the cause effect relationship for all possible attacks which helps us to find the appropriate solution to restrict them in the Internet. A case study is also provided in the paper to classify Nimda worm, Slammer worm, W32/HLLP.Philips.jn Trojan, Stealth virus and Boot sector virus.