@inproceedings{b51ee95e7899487f80a93f0741de2ac5,
title = "The role of hierarchical entropy analysis in the detection and time-scale determination of covert timing channels",
abstract = "this paper evaluates the potential use of hierarchal entropy analysis to detect covert timing channels and determine the best time-scale that reveals it. A data transmission simulator is implemented to generate a collection of overt and covert channels. The hierarchical entropy analysis approach is then utilized to detect the covert timing channels and identify the type-scale that provides the highest evidence that the underlying channel is covert. Hierarchical entropy divides the stream of inter-arrival times greedily to identify the time-scale the best reveals the existence of a covert-timing channel. The lowest entropy in the sequence is the best indicator that identifies non-random patterns in the given data stream. The results show that hierarchal entropy analysis performs significantly better than the classical flat entropy approach in the detection of covert timing channels. Furthermore, the hierarchical entropy analysis provides details about the best time-scale that reveals the features of the covert timing channel.",
keywords = "Covert timing channels, Hierarchical entropy, Pattern recognition, Security, Time-scale determination",
author = "Omar Darwish and Ala Al-Fuqaha and Muhammad Anan and Nidal Nasser",
note = "Publisher Copyright: {\textcopyright} 2015 IEEE.; 11th International Wireless Communications and Mobile Computing Conference, IWCMC 2015 ; Conference date: 24-08-2015 Through 28-08-2015",
year = "2015",
month = oct,
day = "2",
doi = "10.1109/IWCMC.2015.7289074",
language = "English",
series = "IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "153--159",
booktitle = "IWCMC 2015 - 11th International Wireless Communications and Mobile Computing Conference",
address = "United States",
}