DRM VIOLATION DETECTION USING CONSUMER LOGS ANALYSIS
Amit Sachan, Sabu EmmanuelAbstract
Digital rights management (DRM) systems are prone to violations. The violations in the system cause huge losses to media creators/owners. Thus, it is important to find the violations and causes of the violations. In this paper, we propose a sequential pattern mining based technique to find the violations and their causes by doing the consumer log analysis. In the proposed technique, we first propose a log-conversion method to make the logs suitable for sequential pattern mining. Then, we propose an efficient pattern mining algorithm suitable for DRM system violation detection. Experimental results show the efficiency of the proposed method is good.
Read Submission [29]