A Markov-Based Intrusion Tolerance Finite Automaton

Autor:	Fengquan Li
Jazyk:	angličtina
Rok vydání:	2020
Předmět:	finite automaton intrusion tolerance Markov network security Electronic computers. Computer science QA75.5-76.95
Zdroj:	Journal of Computing and Information Technology, Vol 28, Iss 2, Pp 89-100 (2020)
Druh dokumentu:	article
ISSN:	1330-1136 1846-3908
Popis:	It is inevitable for networks to be invaded during operation. The intrusion tolerance technology comes into being to enable invaded networks to provide the necessary network services. This paper introduces an automatic learning mechanism of the intrusion tolerance system to update network security strategy, and derives an intrusion tolerance finite automaton model from an existing intrusion tolerance model. The proposed model was quantified by the Markov theory to compute the stable probability of each state. The calculated stable probabilities provide the theoretical guidance and basis for administrators to better safeguard network security. Verification results show that it is feasible, effective, and convenient to integrate the Markov model to the intrusion tolerance finite automaton.
Databáze:	Directory of Open Access Journals
Externí odkaz:	https://doaj.org/article/86b5e15a79c14aa5bc33d8fd00a351dc Zobrazit plný text záznamu View record in DOAJ