{"title":"Cyber Security Reactivity in Crisis Times and Critical Infrastructures","authors":"M. Șcheau, V. Gaftea, M. Achim, C. Cotoc","doi":"10.1109/ICSTCC50638.2020.9259695","DOIUrl":null,"url":null,"abstract":"Technological and social developments lead to repositioning of criminal actions and adapted responses of Information Systems. On the invisible front, confrontations between national or international organizations and entities that are strictly economically motivated or supported by terrorist groups take place. The direct and indirect effects are difficult to predict due to the high degree of uncertainty of the phenomenon as a whole. The mobility of the relevant factors is quite high and that is why the algorithms use probabilistic models. The losses are quantified as a post factum effect of the events. The present study aims to present Data Mining and Analysis of possible impact that can be felt, starting from a review of actions against official institutions, transformations that occur in crises and finally, a set of proposals in support of alignment with common international standards.","PeriodicalId":347792,"journal":{"name":"International Conference on System Theory, Control and Computing","volume":"5 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-10-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Conference on System Theory, Control and Computing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSTCC50638.2020.9259695","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
Technological and social developments lead to repositioning of criminal actions and adapted responses of Information Systems. On the invisible front, confrontations between national or international organizations and entities that are strictly economically motivated or supported by terrorist groups take place. The direct and indirect effects are difficult to predict due to the high degree of uncertainty of the phenomenon as a whole. The mobility of the relevant factors is quite high and that is why the algorithms use probabilistic models. The losses are quantified as a post factum effect of the events. The present study aims to present Data Mining and Analysis of possible impact that can be felt, starting from a review of actions against official institutions, transformations that occur in crises and finally, a set of proposals in support of alignment with common international standards.