基于特征的个人网络安全分析

Andrew J. Paverd, F. El-Moussa, I. Brown
{"title":"基于特征的个人网络安全分析","authors":"Andrew J. Paverd, F. El-Moussa, I. Brown","doi":"10.1145/2638728.2641549","DOIUrl":null,"url":null,"abstract":"The Personal Network (PN) is a logical network of interconnected components used by an individual. It encompasses the home network, the Personal Area Network (PAN), and the Vehicular Area Network (VAN) and includes cloud-based services. Previous security analyses, including ITU-T Recommendation X.1111, have focussed on the individual physical networks rather than the PN itself. By consolidating and structuring previous work, we propose an updated and enhanced security analysis for the PN. In our characteristic-based approach we identify the primary characteristics of the PN and its components and use these to develop an abstract PN asset model. From this, we derive the main attacker objectives and a list of attack vectors through which these could be achieved. We propose a mapping between the attack vectors and the PN component characteristics that can be used to determine the specific attacks to which a particular component is vulnerable. In this paper, we present a summary of this analysis and discuss its usage.","PeriodicalId":20496,"journal":{"name":"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2014-09-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Characteristic-based security analysis of personal networks\",\"authors\":\"Andrew J. Paverd, F. El-Moussa, I. Brown\",\"doi\":\"10.1145/2638728.2641549\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The Personal Network (PN) is a logical network of interconnected components used by an individual. It encompasses the home network, the Personal Area Network (PAN), and the Vehicular Area Network (VAN) and includes cloud-based services. Previous security analyses, including ITU-T Recommendation X.1111, have focussed on the individual physical networks rather than the PN itself. By consolidating and structuring previous work, we propose an updated and enhanced security analysis for the PN. In our characteristic-based approach we identify the primary characteristics of the PN and its components and use these to develop an abstract PN asset model. From this, we derive the main attacker objectives and a list of attack vectors through which these could be achieved. We propose a mapping between the attack vectors and the PN component characteristics that can be used to determine the specific attacks to which a particular component is vulnerable. In this paper, we present a summary of this analysis and discuss its usage.\",\"PeriodicalId\":20496,\"journal\":{\"name\":\"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-09-13\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/2638728.2641549\",\"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 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing: Adjunct Publication","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2638728.2641549","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

个人网络(PN)是由个人使用的相互连接的组件组成的逻辑网络。它包括家庭网络、个人局域网(PAN)和车辆局域网(VAN),并包括基于云的服务。以前的安全分析,包括ITU-T建议X.1111,关注的是单个物理网络,而不是PN本身。通过整合和构建以前的工作,我们提出了一个更新和增强的PN安全性分析。在我们基于特征的方法中,我们确定了PN及其组成部分的主要特征,并使用这些特征来开发抽象的PN资产模型。由此,我们得出了攻击者的主要目标和攻击向量列表,通过这些攻击向量可以实现这些目标。我们提出了攻击向量和PN组件特征之间的映射,可用于确定特定组件易受攻击的特定攻击。本文对这一分析进行了总结,并对其应用进行了讨论。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Characteristic-based security analysis of personal networks
The Personal Network (PN) is a logical network of interconnected components used by an individual. It encompasses the home network, the Personal Area Network (PAN), and the Vehicular Area Network (VAN) and includes cloud-based services. Previous security analyses, including ITU-T Recommendation X.1111, have focussed on the individual physical networks rather than the PN itself. By consolidating and structuring previous work, we propose an updated and enhanced security analysis for the PN. In our characteristic-based approach we identify the primary characteristics of the PN and its components and use these to develop an abstract PN asset model. From this, we derive the main attacker objectives and a list of attack vectors through which these could be achieved. We propose a mapping between the attack vectors and the PN component characteristics that can be used to determine the specific attacks to which a particular component is vulnerable. In this paper, we present a summary of this analysis and discuss its usage.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
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 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信