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SESAME: Scalable, Environment Sensitive Access Management Engine (2006)
BibTeX
@MISC{Zhang06sesame:scalable,,
author = {Guangsen Zhang and Manish Parashar},
title = { SESAME: Scalable, Environment Sensitive Access Management Engine},
year = {2006}
}
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Abstract
As computing technology becomes more pervasive and mobile services are deployed, applications will need flexible access control mechanisms. Although lots of researches have been done on access control, these efforts focus on relatively static scenarios where access depends on identity of the subject. They do not address access control issues for pervasive applications where the access privileges of a subject not only depend on its identity but also on its current context and state. In this paper, we present the SESAME dynamic context-aware access control mechanism for pervasive applications. SESAME complements current authorization mechanisms to dynamically grant and adapt permissions to users based on their current context. The underlying dynamic role based access control (DRBAC) model extends the classic role based access control (RBAC). We also present a prototype implementation of SESAME and DRBAC with the Discover computational collaboratory and an experimental evaluation of its overheads.
Keyphrases
access control environment sensitive access management engine current context pervasive application access privilege flexible access control mechanism sesame complement current authorization mechanism static scenario prototype implementation access control issue underlying dynamic role experimental evaluation mobile service classic role discover computational collaboratory
