In this paper, the Collaborative Object Notification Framework for Insider Defense using Autonomous Network Transactions (CONFIDANT) is evaluated in the presence of tampering. CONFIDANT’s mitigation capabilities are assessed and compared with conventional file integrity analyzers such as AIDE and tripwire. The potential of distributed techniques to address certain tampering modes such as Pacing, Altering Internal Data, and File Juggling are discussed. To assess capabilities, a variably-weighted tampering mode exposure metric scheme is developed and utilized. Results indicate a range of vulnerabilities for which mitigation techniques such as Encapsulation, Redundancy, Scrambling, and mandatory obsolescence can increase robustness against challenging exposures, including various insider tampering risks.
Adam J. Rocke, Ronald F. DeMara, Simon Foo