Open AccessInternet of things networks predictive risk assessment method and security management
Author(s) -
Андрей Александрович Болгов,
Сергей Александрович Ермаков,
Лариса Владимировна Паринова,
Вера Николаевна Кострова
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/862/5/052035
Subject(s) - computer science , inference , fuzzy logic , fuzzy inference system , risk assessment , the internet , data mining , risk management , inference engine , risk analysis (engineering) , wireless network , fuzzy inference , object (grammar) , artificial intelligence , adaptive neuro fuzzy inference system , data science , wireless , fuzzy control system , computer security , world wide web , medicine , telecommunications , management , economics
The methodology of predictive security violation risk assessment based on the use of fuzzy logic is offered. Demonstrates one risk assessment methodology use for IoT-network in presence of data about protocols used in network wireless devices. Alternative methodology for risks predicting when at the initial stage experts estimate input parameters, with subsequent data processing using the hierarchical methodology based on fuzzy inference systems that can reduce the influence of subjective expert evaluations of the researched object is offered. Numerical estimates of risk, despite qualitative character of expert estimates of input parameters are received.