Tracing Cyber Crimes with a Privacy-Enabled Forensic Profiling System

Abstract

Security incidents that threaten the normal functioning of the organization are on the rise. In order to resist network attacks most organizations employ security measures. However, there are two sides of the problem at hand. First, it is important to secure the networks against new vulnerabilities. Second, collection of evidence without intruding on the privacy, in the event of an attack, is also necessary. The lack of robust attribution mechanism precludes the apprehension of cyber criminals. The implementation of security features and forensic analysis should be such that the privacy is preserved. We propose a forensic profiling system which accommodates real-time evidence collection as a network feature and uses a mechanism to keep the privacy intact.