{"title":"确定性树突状细胞算法在智能电网网络攻击检测中的应用","authors":"O. Igbe, Ihab Darwish, T. Saadawi","doi":"10.1109/CSCloud.2017.12","DOIUrl":null,"url":null,"abstract":"The Distributed Network Protocol v3.0 (DNP3) is one of the most widely used protocols for smart grid communications. Security challenges which could cause great scale of damages to critical infrastructure like the smart grid have emerged in recent years. This paper investigates the attacks that target smart grids which utilize the DNP3 protocol, and how these attacks can be detected using the deterministic version of the Dendritic Cell Algorithm (DCA) which is an Artificial Immune System (AIS)-based algorithm. To evaluate DCAs effectiveness, we generated a testing dataset, by implementing various attacks then executing them in a DNP3 smart grid environment. We present our results, showing that these attacks can be successfully detected using an architecture based on the DCA.","PeriodicalId":436299,"journal":{"name":"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"24","resultStr":"{\"title\":\"Deterministic Dendritic Cell Algorithm Application to Smart Grid Cyber-Attack Detection\",\"authors\":\"O. Igbe, Ihab Darwish, T. Saadawi\",\"doi\":\"10.1109/CSCloud.2017.12\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Distributed Network Protocol v3.0 (DNP3) is one of the most widely used protocols for smart grid communications. Security challenges which could cause great scale of damages to critical infrastructure like the smart grid have emerged in recent years. This paper investigates the attacks that target smart grids which utilize the DNP3 protocol, and how these attacks can be detected using the deterministic version of the Dendritic Cell Algorithm (DCA) which is an Artificial Immune System (AIS)-based algorithm. To evaluate DCAs effectiveness, we generated a testing dataset, by implementing various attacks then executing them in a DNP3 smart grid environment. We present our results, showing that these attacks can be successfully detected using an architecture based on the DCA.\",\"PeriodicalId\":436299,\"journal\":{\"name\":\"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2017-06-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"24\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2017 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CSCloud.2017.12\",\"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 IEEE 4th International Conference on Cyber Security and Cloud Computing (CSCloud)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CSCloud.2017.12","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Deterministic Dendritic Cell Algorithm Application to Smart Grid Cyber-Attack Detection
The Distributed Network Protocol v3.0 (DNP3) is one of the most widely used protocols for smart grid communications. Security challenges which could cause great scale of damages to critical infrastructure like the smart grid have emerged in recent years. This paper investigates the attacks that target smart grids which utilize the DNP3 protocol, and how these attacks can be detected using the deterministic version of the Dendritic Cell Algorithm (DCA) which is an Artificial Immune System (AIS)-based algorithm. To evaluate DCAs effectiveness, we generated a testing dataset, by implementing various attacks then executing them in a DNP3 smart grid environment. We present our results, showing that these attacks can be successfully detected using an architecture based on the DCA.