@inproceedings{8039891a16fd4f8a8b15218360fbd85c,

title = "Search problems in the domain of multiplication: Case study on robust anomaly detection using markov chains",

abstract = "Most work in heuristic search focused on path finding problems in which the cost of a path in the state space is the sum of its edges{\textquoteright} weights. This paper addresses a different class of path finding problems in which the cost of a path is the product of its weights. We present reductions from different classes of multiplicative path finding problems to suitable classes of additive path finding problems. As a case study, we consider the problem of finding least and most probable paths in a Markov Chain, where path cost corresponds to the probability of traversing it. The importance of this problem is demonstrated in an anomaly detection application for cyberspace security. Three novel anomaly detection metrics for Markov Chains are presented, where computing these metrics require finding least and most probable paths. The underlying Markov Chain is dynamically changing, and so fast methods for computing least and most probable paths are needed. We propose such methods based on the proposed reductions and using heuristic search algorithms.",

keywords = "Anomaly detection, Markov Chains, Multiplication domain search, Network intrusion detection, Search space monotonicity",

author = "Yisroel Mirsky and Aviad Cohen and Roni Stern and Ariel Felner and Lior Rokach and Yuval Elovici and Bracha Shapira",

note = "Publisher Copyright: Copyright {\textcopyright} 2015, Association for the Advancement of Artificial Intelligence (www.aaai.org). All rights reserved.; 8th Annual Symposium on Combinatorial Search, SoCS 2015 ; Conference date: 11-06-2015 Through 13-06-2015",

year = "2015",

month = jan,

day = "1",

language = "English",

series = "Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015",

publisher = "AAAI press",

pages = "70--77",

editor = "Levi Lelis and Roni Stern",

booktitle = "Proceedings of the 8th Annual Symposium on Combinatorial Search, SoCS 2015",

}