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Published Articles >> Table of Contents >> Abstract
Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06)
pp. 35-44
Access Control Inference And Feedback For Policy Managers: A Fine-Grained Analysis
Ranga. R. Vatsavai, IBM India Research Labs, India
Sharma Chakravarthy, IBM India Research Labs, India
Mukesh Mohania, IBM India Research Labs, India
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DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/POLICY.2006.9
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| Abstract |
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As the IT infrastructure complexity and pervasiveness
grows, autonomic computing can greatly simplify its deployment
and usage. Essentially, the goal of autonomic
computing is to shift the burden of management of the component
systems from the user to the system. In order to accomplish
this, autonomic computing demands that the system
be able to accept high level policies, analyze them, and
provide meaningful feedback to simplify the usage of the
infrastructure by domain experts and minimize human involvement
in the loop.
Policies, in general are defined at a higher level in terms
of business objects, their attributes, and operations. On the
other hand managed resources, on which the policies are finally
going to execute, have their own access control lists to
limit the operations that an application user can perform.
As a result, many policies which are syntactically and semantically
correct, may fail to execute at run time due to
ACL violations.
This paper describes an approach wherein the information
on access control provided at the managed resources
level is leveraged to check for policy executability and provide
meaningful feedback in case there are problems. This
is done at policy specification time as opposed to runtime,
which is not desirable, as is typically done by current systems.
Furthermore, this avoids redundant access control
specifications which can lead to inconsistencies in addition
to being a burden on the user. A pragmatic approach for
checking policy executability from an access control viewpoint
and providing several types of feedback are the focus
of this paper.
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Additional Information
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Citation:
Ranga. R. Vatsavai, Sharma Chakravarthy, Mukesh Mohania,
"Access Control Inference And Feedback For Policy Managers: A Fine-Grained Analysis,"
policy,
pp. 35-44,
Seventh IEEE International Workshop on Policies for Distributed Systems and Networks (POLICY'06),
2006
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