Interval Fuzzy Algebraic Systems

Palchunov, D. E.; Yakhyaeva, Gulnara

doi:10.1142/9789812772749_0014

Cited by 6 publications

(1 citation statement)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The principal difference between the mathematical foundations of the proposed approach [5][6][7] and traditional methods of information-risk assessment is that in this approach we do not work with numerical estimates of risk probabilities, but instead with sets of cases on which these risks have worked. In the standard approach, information is first digitized (or fuzzificated) and then processed.…”

Section: Case-based Modelsmentioning

confidence: 99%

Application of Case-based Methodology for Early Diagnosis of Computer Attacks

Yakhyaeva

Yasinskaya

2014

CIT

View full text Add to dashboard Cite

In this article we consider the mathematical foundations and software implementation of the early diagnosis of computer attacks. For this we used the JSM method of automatic hypothesis generation and the theory of case-based models.This software outputs hypotheses about the properties and expected consequences of a new computer attack. The system analyses a set of properties of the computer attack known to the user. For this we use the Base of the cyber attack's precedents, described in the language of fuzzification of Boolean-valued models. Each potential property of the new attack is studied by using the JSM method. This process builds sets of positive and negative hypotheses concerning each property, giving a set of properties and consequences characteristic of the attack that has yet not happened at the time of analysis.The developed algorithm has polynomial complexity.Keywords: information security, computer attack, case of the computer attack, case-based model, fuzzification of the case-based model, JSM-method, JSM-reasoning

show abstract

Section: Case-based Modelsmentioning

confidence: 99%