NDLI: A New Method for Modeling and Evaluation of the Probability of Attacker Success

Content Provider	IEEE Xplore Digital Library
Author	Almasizadeh, J. Azgomi, M.A.
Copyright Year	2008
Description	Author affiliation: Dept. of Comput. Eng., Iran Univ. of Sci. & Technol., Tehran, Iran (Almasizadeh, J.; Azgomi, M.A.)
Abstract	Security quantification is a topic that has gained a lot of interest in the research community during the recent years. In this paper, a new method is proposed for modeling and quantifying attack effects on a computer system. In this work, intrusion process is considered as atomic sequential steps. Each atomic step changes the current system state. On the other hand, system tries to prevent and detect the attacker activity and therefore can transfer the current system state to a secure state. Intrusion process modeling is done by a semi-Markov chain (SMC). Distribution functions assigned to SMC transitions are uniform distributions. Uniform distributions represent the sojourn time of the attacker or the system in the transient states. Then the SMC is converted into a discrete-time Markov chain (DTMC). The DTMC is analyzed and then the probability of attacker success is computed based on mathematical theorems. The SMC has two absorbing for representing success and failure states of intrusion process.
Starting Page	49
Ending Page	53
File Size	227630
Page Count	5
File Format	PDF
ISBN	9780769534862
DOI	10.1109/SecTech.2008.35
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-13
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Security Evaluation Data security Petri nets Stochastic processes Quality of service Markov Models Sliding mode control Equations Stochastic systems semi-Markov chain Computer networks Computer security Distribution functions Security Modeling
Content Type	Text
Resource Type	Article

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