Software system for the diagnosis of the spine diseases using case-based reasoning

Palchunov, D. E.; Yakhyaeva, Gulnara; Yasinskaya, Olga

doi:10.1109/sibircon.2015.7361884

Cited by 8 publications

(1 citation statement)

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“…Using this methodology, a team at Novosibirsk State University developed the RiskPanel software system [4], a workplace for experts to ensure corporate information security. This software system aims at implementing risk management in information security.…”

Section: Introductionmentioning

confidence: 99%

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

Yakhyaeva

Yasinskaya

2014

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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

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Section: Introductionmentioning

confidence: 99%