Journal Title : International Journal of Modern Trends in Engineering and Science
Paper Title : AN INTRUSION DETECTION SYSTEM TO PREVENT THE K-ZERO DAY ATTACK PROPAGATION
Volume 04 Issue 03 2017
ISSN no: 2348-3121
Page no: 18-23
Abstract – One of the main difficulties in securing computer networks is the lack of means for directly measuring the relative effectiveness of different security solutions in a given network through false positive and false negative measures. In a novel network security metric, issue can be addressed by k-zero day safety. Roughly speaking, instead of attempting to measure which unknown vulnerabilities are more likely to exist, it start with the worst case assumption that this is not measurable. The metric then simply counts how many zero-day vulnerabilities are required to compromise a network asset. A larger count will indicate a relatively more secure network, because the likelihood of having more unknown vulnerabilities all available at the same time, applicable to the same network, and exploitable by the same attacker, will be lower. It will formally define the k-zero day safety metric based on an abstract model of networks and zero-day attacks. Computing the metric and design heuristic algorithms for addressing this complexity in special cases. It demonstrates the usefulness of the metric by applying it to the evaluation of existing practices in network hardening through a series of case studies.
Keywords – Security Metrics, Network Security, Attack Graph, Network Hardening
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