New Publication: Evaluation of Statistical Tests for Detecting Storage-Based Covert Channels
Congratulations to Master’s Student Thomas Sattolo for his publication “” which is now published in online in the Proceedings of the . In this paper, we evaluate the effectiveness of a selection of statistical tests for detecting storage-based covert channels and present the results of several experiments which show that complexity-based tests are effective at detecting storage-based covert channels when information is embedded into network packet header fields that are not expected to follow a particular pattern, such as the IP Identification and Time-to-Live. See Publications for more details!