{"title":"一种新的通用攻击建模方法","authors":"Samih Souissi, A. Serhrouchni","doi":"10.1109/HPCSim.2014.6903738","DOIUrl":null,"url":null,"abstract":"In recent years, information systems have become more diverse and complex making them a privileged target of network and computer attacks. These attacks have increased tremendously and turned out to be more sophisticated and evolving in an unpredictable manner. This work presents an attack model called AIDD (Attacks Identification Description and Defense). It offers a generic attack modeling to classify, help identify and defend against computer and network attacks. Our approach takes into account several attack properties in order to simplify attack handling and aggregate defense mechanisms. The originality in our work is that it introduces a target centric classification which increases the level of abstraction in order to offer a generic model to describe complex attacks.","PeriodicalId":6469,"journal":{"name":"2014 International Conference on High Performance Computing & Simulation (HPCS)","volume":"3 1","pages":"580-583"},"PeriodicalIF":0.0000,"publicationDate":"2014-07-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":"{\"title\":\"AIDD: A novel generic attack modeling approach\",\"authors\":\"Samih Souissi, A. Serhrouchni\",\"doi\":\"10.1109/HPCSim.2014.6903738\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In recent years, information systems have become more diverse and complex making them a privileged target of network and computer attacks. These attacks have increased tremendously and turned out to be more sophisticated and evolving in an unpredictable manner. This work presents an attack model called AIDD (Attacks Identification Description and Defense). It offers a generic attack modeling to classify, help identify and defend against computer and network attacks. Our approach takes into account several attack properties in order to simplify attack handling and aggregate defense mechanisms. The originality in our work is that it introduces a target centric classification which increases the level of abstraction in order to offer a generic model to describe complex attacks.\",\"PeriodicalId\":6469,\"journal\":{\"name\":\"2014 International Conference on High Performance Computing & Simulation (HPCS)\",\"volume\":\"3 1\",\"pages\":\"580-583\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-07-21\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"5\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 International Conference on High Performance Computing & Simulation (HPCS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/HPCSim.2014.6903738\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on High Performance Computing & Simulation (HPCS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/HPCSim.2014.6903738","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
In recent years, information systems have become more diverse and complex making them a privileged target of network and computer attacks. These attacks have increased tremendously and turned out to be more sophisticated and evolving in an unpredictable manner. This work presents an attack model called AIDD (Attacks Identification Description and Defense). It offers a generic attack modeling to classify, help identify and defend against computer and network attacks. Our approach takes into account several attack properties in order to simplify attack handling and aggregate defense mechanisms. The originality in our work is that it introduces a target centric classification which increases the level of abstraction in order to offer a generic model to describe complex attacks.