{"title":"网络制造系统中网络攻击严重程度的分类","authors":"Carlos Espinoza-Zelaya, Y. Moon","doi":"10.1115/imece2022-94492","DOIUrl":null,"url":null,"abstract":"\n Increasingly named as the number one non-traditional risk cyber-attacks against Cyber-manufacturing Systems (CMS) can cause a wide variety of losses. As the 4th industrial revolution is taking place CMS have become more resilient with the implementation of prevention, detection, redundancy, withstanding, and recovery mechanisms against cyber-attacks. However, the ever-evolving nature of these threats require systems to still be prepared for their eventual occurrence as it’s been demonstrated in the increasingly more common advent of successful cyber-attacks. While multiple generic threat models have been proposed by academics and government organizations for assessing the impact of cyber-attacks against Cyber-Physical Systems there is a research gap when it comes to manufacturing specific applications and how to assess their severity. In order to evaluate the impact of a cyber-attack against CMS this taxonomy proposes a classification of threats severity comprising three general themes: i) Operational Impact: Effective production time loss that incur in inability to yield the expected output, ii) Economic Impacts: Direct financial cost of the attack, mitigation, and recovery, and iii) Intangible Losses: Integrity breaches against original patents, models, or intangible actives.","PeriodicalId":113474,"journal":{"name":"Volume 2B: Advanced Manufacturing","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"Taxonomy of Severity of Cyber-Attacks in Cyber-Manufacturing Systems\",\"authors\":\"Carlos Espinoza-Zelaya, Y. Moon\",\"doi\":\"10.1115/imece2022-94492\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"\\n Increasingly named as the number one non-traditional risk cyber-attacks against Cyber-manufacturing Systems (CMS) can cause a wide variety of losses. As the 4th industrial revolution is taking place CMS have become more resilient with the implementation of prevention, detection, redundancy, withstanding, and recovery mechanisms against cyber-attacks. However, the ever-evolving nature of these threats require systems to still be prepared for their eventual occurrence as it’s been demonstrated in the increasingly more common advent of successful cyber-attacks. While multiple generic threat models have been proposed by academics and government organizations for assessing the impact of cyber-attacks against Cyber-Physical Systems there is a research gap when it comes to manufacturing specific applications and how to assess their severity. In order to evaluate the impact of a cyber-attack against CMS this taxonomy proposes a classification of threats severity comprising three general themes: i) Operational Impact: Effective production time loss that incur in inability to yield the expected output, ii) Economic Impacts: Direct financial cost of the attack, mitigation, and recovery, and iii) Intangible Losses: Integrity breaches against original patents, models, or intangible actives.\",\"PeriodicalId\":113474,\"journal\":{\"name\":\"Volume 2B: Advanced Manufacturing\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-10-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Volume 2B: Advanced Manufacturing\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1115/imece2022-94492\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Volume 2B: Advanced Manufacturing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1115/imece2022-94492","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Taxonomy of Severity of Cyber-Attacks in Cyber-Manufacturing Systems
Increasingly named as the number one non-traditional risk cyber-attacks against Cyber-manufacturing Systems (CMS) can cause a wide variety of losses. As the 4th industrial revolution is taking place CMS have become more resilient with the implementation of prevention, detection, redundancy, withstanding, and recovery mechanisms against cyber-attacks. However, the ever-evolving nature of these threats require systems to still be prepared for their eventual occurrence as it’s been demonstrated in the increasingly more common advent of successful cyber-attacks. While multiple generic threat models have been proposed by academics and government organizations for assessing the impact of cyber-attacks against Cyber-Physical Systems there is a research gap when it comes to manufacturing specific applications and how to assess their severity. In order to evaluate the impact of a cyber-attack against CMS this taxonomy proposes a classification of threats severity comprising three general themes: i) Operational Impact: Effective production time loss that incur in inability to yield the expected output, ii) Economic Impacts: Direct financial cost of the attack, mitigation, and recovery, and iii) Intangible Losses: Integrity breaches against original patents, models, or intangible actives.