Enhancing Cyberweapon Effectiveness Methodology With SE Modeling Techniques: Both for Offense and Defense

C. Pinto, Matthew Zurasky, Fatine Elakramine, Safae El Amrani, Ra'ed M. Jaradat, Chad S. Kerr, Vidanelage L. Dayarathna
{"title":"Enhancing Cyberweapon Effectiveness Methodology With SE Modeling Techniques: Both for Offense and Defense","authors":"C. Pinto, Matthew Zurasky, Fatine Elakramine, Safae El Amrani, Ra'ed M. Jaradat, Chad S. Kerr, Vidanelage L. Dayarathna","doi":"10.4018/IJCWT.2021070104","DOIUrl":null,"url":null,"abstract":"A recent cyberweapons effectiveness methodology clearly provides a parallel but distinct process from that of kinetic weapons – both for defense and offense purposes. This methodology promotes consistency and improves cyberweapon system evaluation accuracy – for both offensive and defensive postures. However, integrating this cyberweapons effectiveness methodology into the design phase and operations phase of weapons systems development is still a challenge. The paper explores several systems engineering modeling techniques (e.g., SysML) and how they can be leveraged towards an enhanced effectiveness methodology. It highlights how failure mode analyses (e.g., FMEA) can facilitate cyber damage determination and target assessment, how block and parametric diagraming techniques can facilitate characterizing cyberweapons and eventually assess the effectiveness of such weapons and conversely assess vulnerabilities of systems to certain types of cyberweapons.","PeriodicalId":41462,"journal":{"name":"International Journal of Cyber Warfare and Terrorism","volume":"11 1","pages":"41-57"},"PeriodicalIF":0.2000,"publicationDate":"2021-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Cyber Warfare and Terrorism","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4018/IJCWT.2021070104","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"POLITICAL SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

A recent cyberweapons effectiveness methodology clearly provides a parallel but distinct process from that of kinetic weapons – both for defense and offense purposes. This methodology promotes consistency and improves cyberweapon system evaluation accuracy – for both offensive and defensive postures. However, integrating this cyberweapons effectiveness methodology into the design phase and operations phase of weapons systems development is still a challenge. The paper explores several systems engineering modeling techniques (e.g., SysML) and how they can be leveraged towards an enhanced effectiveness methodology. It highlights how failure mode analyses (e.g., FMEA) can facilitate cyber damage determination and target assessment, how block and parametric diagraming techniques can facilitate characterizing cyberweapons and eventually assess the effectiveness of such weapons and conversely assess vulnerabilities of systems to certain types of cyberweapons.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
利用SE建模技术增强网络武器效能方法论:进攻与防御
最近的一项网络武器有效性方法论清楚地提供了一个与动力武器相似但截然不同的过程——既用于防御,也用于进攻。这种方法促进了一致性,提高了网络武器系统评估的准确性-无论是进攻还是防御姿态。然而,将这种网络武器效能方法整合到武器系统开发的设计阶段和作战阶段仍然是一个挑战。本文探讨了几种系统工程建模技术(例如,SysML)以及如何将它们用于增强有效性的方法。它强调了失效模式分析(例如,FMEA)如何促进网络损害确定和目标评估,块和参数化图表技术如何促进表征网络武器并最终评估此类武器的有效性,反过来评估系统对某些类型网络武器的脆弱性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
1.80
自引率
40.00%
发文量
20
期刊最新文献
Meta-Analysis and the Integration of Terrorism Event Databases Modeling and Simulating Student Protests Through Agent-Based Framework Artificial Intelligence and Facial Recognition in an IoT Ecosystem IoT and Edge Computing as Enabling Technologies of Human Factors Monitoring in CBRN Environment Integrated Information Model of an Enterprise and Cybersecurity Management System: From Data to Activity
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1