{"title":"网络物理系统中数据存储的可靠性评估","authors":"Heping Jia, Yi Ding, R. Peng","doi":"10.1109/ICSRS.2018.8688837","DOIUrl":null,"url":null,"abstract":"With the deep integration of cyber physical systems, data storage systems might suffer from both physical failures and cyber attacks which significantly impact the systems' reliability. The data can be partitioned into several data parts to enhance data security and multiple replications can be created for each data part in the storage systems. In this paper, both the failures of data storage devices and cyber attacks including data theft and data corruption are considered in the proposed system model. Moreover, the multi-valued decision diagram (MDD) technique is developed for considering chronological characteristics of sequential events to achieve the quantitative reliability assessment. A numerical example is provided to validate the proposed model and method.","PeriodicalId":166131,"journal":{"name":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Reliability Assessment of Data Storage in Cyber Physical Systems\",\"authors\":\"Heping Jia, Yi Ding, R. Peng\",\"doi\":\"10.1109/ICSRS.2018.8688837\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"With the deep integration of cyber physical systems, data storage systems might suffer from both physical failures and cyber attacks which significantly impact the systems' reliability. The data can be partitioned into several data parts to enhance data security and multiple replications can be created for each data part in the storage systems. In this paper, both the failures of data storage devices and cyber attacks including data theft and data corruption are considered in the proposed system model. Moreover, the multi-valued decision diagram (MDD) technique is developed for considering chronological characteristics of sequential events to achieve the quantitative reliability assessment. A numerical example is provided to validate the proposed model and method.\",\"PeriodicalId\":166131,\"journal\":{\"name\":\"2018 3rd International Conference on System Reliability and Safety (ICSRS)\",\"volume\":\"26 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2018-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2018 3rd International Conference on System Reliability and Safety (ICSRS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSRS.2018.8688837\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 3rd International Conference on System Reliability and Safety (ICSRS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSRS.2018.8688837","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Reliability Assessment of Data Storage in Cyber Physical Systems
With the deep integration of cyber physical systems, data storage systems might suffer from both physical failures and cyber attacks which significantly impact the systems' reliability. The data can be partitioned into several data parts to enhance data security and multiple replications can be created for each data part in the storage systems. In this paper, both the failures of data storage devices and cyber attacks including data theft and data corruption are considered in the proposed system model. Moreover, the multi-valued decision diagram (MDD) technique is developed for considering chronological characteristics of sequential events to achieve the quantitative reliability assessment. A numerical example is provided to validate the proposed model and method.