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Applied Mathematics & Information Sciences
Article . 2013 . Peer-reviewed
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Software Vulnerability Patch Management with Semi-Markov Decision Process

Authors: Chien-Cheng Huang; Kwo-Jean Farn; Feng-Yu Lin; Frank Yeong-Sung Lin;

Software Vulnerability Patch Management with Semi-Markov Decision Process

Abstract

Information security incidents frequency has been increasing dramatically, the aim of this study is to analyze the state-space reachability problems through the transition of vulnerable status after the inf ormative system vulnerability exposure. In this research we took into consideration the time factor to analyze the arrival time to reacha ble states problem discussed in stochastic Petri nets. The mean arrival time and variance of the process between starting from an initial state and arriving at reachable states. We will therefore elaborate a novel model based on the semi-Markov stochastic Petri nets model for analyzing the period between the exposure of the vulnerability and the completion of its patch. We use the semi-Markov process to analyze the state-space reachability problems of the stochastic Petri nets, resulting in a novel model for software vulnerability patch management. Moreover, we include also the concept of discounted multi-objective semi-Markov decision process to obtain the total of the efficient extreme point set.

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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!
0
Average
Average
Average
bronze