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Comparing Countermeasures against Interrupt-Related Covert Channels in an Information-Theoretic Framework

Mantel, Heiko and Sudbrock, Henning (2007):
Comparing Countermeasures against Interrupt-Related Covert Channels in an Information-Theoretic Framework.
In: 20th IEEE Computer Security Foundations Symposium, CSF 2007, IEEE Computer Society Press, [Conference or Workshop Item]

Abstract

Interrupt-driven communication with hardware devices can be exploited for establishing covert channels. In this article, we propose an information-theoretic framework for analyzing the bandwidth of such interrupt-related channels while taking aspects of noise into account. As countermeasures, we present mechanisms that are already implemented in some operating systems, though for a different purpose. Based on our formal framework, the effectiveness of the mechanisms is evaluated. Despite the large body of work on covert channels, this is the first comprehensive account of interrupt-related covert channelanalysis and mitigation.

Item Type: Conference or Workshop Item
Erschienen: 2007
Creators: Mantel, Heiko and Sudbrock, Henning
Title: Comparing Countermeasures against Interrupt-Related Covert Channels in an Information-Theoretic Framework
Language: ["languages_typename_1" not defined]
Abstract:

Interrupt-driven communication with hardware devices can be exploited for establishing covert channels. In this article, we propose an information-theoretic framework for analyzing the bandwidth of such interrupt-related channels while taking aspects of noise into account. As countermeasures, we present mechanisms that are already implemented in some operating systems, though for a different purpose. Based on our formal framework, the effectiveness of the mechanisms is evaluated. Despite the large body of work on covert channels, this is the first comprehensive account of interrupt-related covert channelanalysis and mitigation.

Title of Book: 20th IEEE Computer Security Foundations Symposium, CSF 2007
Publisher: IEEE Computer Society Press
Divisions: 20 Department of Computer Science > Modeling and Analysis of Information Systems (MAIS)
20 Department of Computer Science
Date Deposited: 31 Dec 2016 09:57
Identification Number: mantel.ea:comparing:2007
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