DocumentCode
2993741
Title
Secure Multi-execution: Fine-Grained, Declassification-Aware, and Transparent
Author
Rafnsson, Willard ; Sabelfeld, Andrei
Author_Institution
Chalmers Univ. of Technol., Gothenburg, Sweden
fYear
2013
fDate
26-28 June 2013
Firstpage
33
Lastpage
48
Abstract
Recently, much progress has been made on achieving information-flow security via secure multi-execution. Secure multi-execution (SME) is an elegant way to enforce security by executing a given program multiple times, once for each security level, while carefully dispatching inputs and ensuring that an execution at a given level is responsible for producing outputs for information sinks at that level. Secure multi-execution guarantees noninterference, in the sense of no dependencies from secret inputs to public outputs, and transparency, in the sense that if a program is secure then its secure multi-execution does not destroy its original behavior. This paper pushes the boundary of what can be achieved with secure multi-execution. First, we lift the assumption from the original secure multi-execution work on the totality of the input environment (that there is always assumed to be input) and on the cooperative scheduling. Second, we generalize secure multi-execution to distinguish between security levels of presence and content of messages. Third, we introduce a declassification model for secure multi-execution that allows expressing what information can be released. Fourth, we establish a full transparency result showing how secure multi-execution can preserve the original order of messages in secure programs. We demonstrate that full transparency is a key enabler for discovering attacks with secure multi-execution.
Keywords
program diagnostics; security of data; cooperative scheduling; declassification model; information-flow security; secure multiexecution; security level; Communication channels; Integrated circuits; Lattices; Monitoring; Security; Semantics; Timing;
fLanguage
English
Publisher
ieee
Conference_Titel
Computer Security Foundations Symposium (CSF), 2013 IEEE 26th
Conference_Location
New Orleans, LA
Type
conf
DOI
10.1109/CSF.2013.10
Filename
6595819
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