{"title":"识别大规模网络物理系统中的关键组件","authors":"Aida Akbarzadeh, S. Katsikas","doi":"10.1145/3387940.3391473","DOIUrl":null,"url":null,"abstract":"The problem of identifying critical components in large scale networked Cyber-Physical Systems comes up as an underlying issue when attempting to enhance the efficiency, the safety and the security of such systems. Graph theory is one of the well-studied methods that are often used to model complex systems and to facilitate the analysis of network-based features of systems to identify critical components. However, recent studies mainly focus on identifying influential nodes in a system and neglect the importance of links. In this paper, we heed to the identification of both key links and nodes in a system, and we aggregate the result by leveraging the multi-variable synthetic evaluation and multiple-criteria decision-making M-TOPSIS method to rank the system components based on their importance.","PeriodicalId":309659,"journal":{"name":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","volume":"17 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-06-27","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"6","resultStr":"{\"title\":\"Identifying Critical Components in Large Scale Cyber Physical Systems\",\"authors\":\"Aida Akbarzadeh, S. Katsikas\",\"doi\":\"10.1145/3387940.3391473\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The problem of identifying critical components in large scale networked Cyber-Physical Systems comes up as an underlying issue when attempting to enhance the efficiency, the safety and the security of such systems. Graph theory is one of the well-studied methods that are often used to model complex systems and to facilitate the analysis of network-based features of systems to identify critical components. However, recent studies mainly focus on identifying influential nodes in a system and neglect the importance of links. In this paper, we heed to the identification of both key links and nodes in a system, and we aggregate the result by leveraging the multi-variable synthetic evaluation and multiple-criteria decision-making M-TOPSIS method to rank the system components based on their importance.\",\"PeriodicalId\":309659,\"journal\":{\"name\":\"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops\",\"volume\":\"17 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-06-27\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"6\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3387940.3391473\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the IEEE/ACM 42nd International Conference on Software Engineering Workshops","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3387940.3391473","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Identifying Critical Components in Large Scale Cyber Physical Systems
The problem of identifying critical components in large scale networked Cyber-Physical Systems comes up as an underlying issue when attempting to enhance the efficiency, the safety and the security of such systems. Graph theory is one of the well-studied methods that are often used to model complex systems and to facilitate the analysis of network-based features of systems to identify critical components. However, recent studies mainly focus on identifying influential nodes in a system and neglect the importance of links. In this paper, we heed to the identification of both key links and nodes in a system, and we aggregate the result by leveraging the multi-variable synthetic evaluation and multiple-criteria decision-making M-TOPSIS method to rank the system components based on their importance.