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Part of book or chapter of book . 2011 . Peer-reviewed
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Part of book or chapter of book . 2011
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On Quantitative Security Policies

Authors: DEGANO, PIERPAOLO; FERRARI, GIAN-LUIGI; MEZZETTI, GIANLUCA;

On Quantitative Security Policies

Abstract

We introduce a formal framework to specify and enforce quantitative security policies. The framework consists of: (i) a stochastic process calculus to express the measurable space of computations in terms of Continuous Time Markov Chains; (ii) a stochastic modal logic (a variant of CSL) to represent the bound constraints on execution speed; (iii) two enforcement mechanisms of our quantitative security policies: potential and actual. The potential enforcement computes the probability of policy violations, thus providing a sort of static evaluation of when the policy is obeyed. This supports the user to accept/discard a component when the probability of the security violation is below/above a suitable chosen threshold. The actual enforcement computes at run-time the deviation of the execution speed from the acceptable rate. This specifies the execution monitor and drives it to abort unsafe executions.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
6
Average
Average
Average