{"title":"缓解行动的专家系统","authors":"I. Karanta, Mika Rautila","doi":"10.23919/FRUCT.2017.8071302","DOIUrl":null,"url":null,"abstract":"This paper describes an approach, based on ontologies and expert system technology, for assisting the mitigation of advanced persistent threat (APT) attacks against critical infrastructures. We describe the approach, and a prototype expert system based on it. We delineate a case study, involving an APT against a financial information infrastructure. Finally, we outline some conclusions and recommendations for future work.","PeriodicalId":114353,"journal":{"name":"2017 20th Conference of Open Innovations Association (FRUCT)","volume":"279 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-04-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"An expert system for mitigation actions\",\"authors\":\"I. Karanta, Mika Rautila\",\"doi\":\"10.23919/FRUCT.2017.8071302\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper describes an approach, based on ontologies and expert system technology, for assisting the mitigation of advanced persistent threat (APT) attacks against critical infrastructures. We describe the approach, and a prototype expert system based on it. We delineate a case study, involving an APT against a financial information infrastructure. Finally, we outline some conclusions and recommendations for future work.\",\"PeriodicalId\":114353,\"journal\":{\"name\":\"2017 20th Conference of Open Innovations Association (FRUCT)\",\"volume\":\"279 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-04-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 20th Conference of Open Innovations Association (FRUCT)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.23919/FRUCT.2017.8071302\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2017 20th Conference of Open Innovations Association (FRUCT)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.23919/FRUCT.2017.8071302","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
This paper describes an approach, based on ontologies and expert system technology, for assisting the mitigation of advanced persistent threat (APT) attacks against critical infrastructures. We describe the approach, and a prototype expert system based on it. We delineate a case study, involving an APT against a financial information infrastructure. Finally, we outline some conclusions and recommendations for future work.