{"title":"New trends of intelligent systems-based secure critical infrastructure in smart city","authors":"A. El-latif, L. Tawalbeh","doi":"10.3233/JIFS-219058","DOIUrl":null,"url":null,"abstract":"The secure operation of critical infrastructures is 8 essential to the security of a nation, its economy, and 9 the public’s health and safety. Security incidents in 10 critical infrastructures can directly lead to a viola11 tion of users’ safety and privacy, physical damages, 12 significant economic impacts for individuals and 13 companies, and threats to human life, while decreas14 ing trust in institutions and bringing their social value 15 into question. Because of the increasing interconnec16 tion between the digital and physical worlds, these 17 infrastructures and services are more critical, sophis18 ticated, and interconnected than ever before. This 19 makes them increasingly vulnerable to attacks, as 20 confirmed by the steady rise of cybersecurity inci21 dents. The consequences of these attacks are almost 22 always invasive and disruptive for the computerized 23 systems and can be fatal if the attacks are performed 24 in the domain of smart health devices. The need 25 therefore arises to research effective security-based 26 solutions for nullifying these risks or countering the 27 attacks. In recent years, this has been suc essfully 28 accomplished using intelligent technologies, includ29 ing artificial intelligence, machine learni g and deep","PeriodicalId":44705,"journal":{"name":"International Journal of Fuzzy Logic and Intelligent Systems","volume":"25 1","pages":"1-1"},"PeriodicalIF":1.5000,"publicationDate":"2021-05-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Fuzzy Logic and Intelligent Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3233/JIFS-219058","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, THEORY & METHODS","Score":null,"Total":0}
引用次数: 0
Abstract
The secure operation of critical infrastructures is 8 essential to the security of a nation, its economy, and 9 the public’s health and safety. Security incidents in 10 critical infrastructures can directly lead to a viola11 tion of users’ safety and privacy, physical damages, 12 significant economic impacts for individuals and 13 companies, and threats to human life, while decreas14 ing trust in institutions and bringing their social value 15 into question. Because of the increasing interconnec16 tion between the digital and physical worlds, these 17 infrastructures and services are more critical, sophis18 ticated, and interconnected than ever before. This 19 makes them increasingly vulnerable to attacks, as 20 confirmed by the steady rise of cybersecurity inci21 dents. The consequences of these attacks are almost 22 always invasive and disruptive for the computerized 23 systems and can be fatal if the attacks are performed 24 in the domain of smart health devices. The need 25 therefore arises to research effective security-based 26 solutions for nullifying these risks or countering the 27 attacks. In recent years, this has been suc essfully 28 accomplished using intelligent technologies, includ29 ing artificial intelligence, machine learni g and deep
期刊介绍:
The International Journal of Fuzzy Logic and Intelligent Systems (pISSN 1598-2645, eISSN 2093-744X) is published quarterly by the Korean Institute of Intelligent Systems. The official title of the journal is International Journal of Fuzzy Logic and Intelligent Systems and the abbreviated title is Int. J. Fuzzy Log. Intell. Syst. Some, or all, of the articles in the journal are indexed in SCOPUS, Korea Citation Index (KCI), DOI/CrossrRef, DBLP, and Google Scholar. The journal was launched in 2001 and dedicated to the dissemination of well-defined theoretical and empirical studies results that have a potential impact on the realization of intelligent systems based on fuzzy logic and intelligent systems theory. Specific topics include, but are not limited to: a) computational intelligence techniques including fuzzy logic systems, neural networks and evolutionary computation; b) intelligent control, instrumentation and robotics; c) adaptive signal and multimedia processing; d) intelligent information processing including pattern recognition and information processing; e) machine learning and smart systems including data mining and intelligent service practices; f) fuzzy theory and its applications.