Insider Collusion Attack on Privacy-Preserving Kernel-Based Data Mining Systems

 Insider Collusion Attack on Privacy-Preserving Kernel-Based Data Mining Systems

 A new insider threat for the privacy preserving work of distributed kernel-based data mining (DKBDM), such as distributed support vector machine. Among several known data breaching problems, those associated with insider attacks have been rising signicantly, making this one of the fastest growing types of security breaches. Once considered a negligible concern, insider attacks have risen to be one of the top three central data violations. Insider-related research involving the distribution of kernel-based data mining is limited, resulting in substantial vulnerabilities in designing protection against collaborative organizations.