Evgeny Tumoyan
Associated professor of
the
Department of Security in Data Processing Technologies
Research interests
Research interests are closely connected with formal modeling of computer network attacks. Computer attacks and software vulnerability exploitation are the most serious threats to computer systems and networks. A lot of works in this area is concentrated on development of attack detection methods, but not on their research and formalization. Therefore the development of formal model of remote network attacks is promising.This model should cover all stages of an attack, attacker’s goals, his or her candidate actions and also attack’s results.The development of the model includes:
These problems can be solved with combination of artificial neural networks and probabilistic systems, such as probabilistic suffix trees and hidden Markov models. Design of such hybrid models is not sufficiently investigated sphere of mathematical simulation. There are no theorems that could estimate applicability of such models and even definitions of basic operations for them.
Evgeny Tumoyan is the author of 32 research papers, 2 teaching papers and a patent. His primary works are devoted to application of neural networks to diametric identification, pattern recognition, as well as their application in cryptography.
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