A Run-Time Framework for Ensuring Zero-Trust State of Client’s Machines in Cloud Environment

IF 5 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Cloud Computing Pub Date : 2024-11-20 DOI:10.1109/TCC.2024.3503358
Devki Nandan Jha;Graham Lenton;James Asker;David Blundell;Martin Higgins;David C. H. Wallom
{"title":"A Run-Time Framework for Ensuring Zero-Trust State of Client’s Machines in Cloud Environment","authors":"Devki Nandan Jha;Graham Lenton;James Asker;David Blundell;Martin Higgins;David C. H. Wallom","doi":"10.1109/TCC.2024.3503358","DOIUrl":null,"url":null,"abstract":"With the unprecedented demand for cloud computing, ensuring trust in the underlying environment is challenging. Applications executing in the cloud are prone to attacks of different types including malware, network and data manipulation. These attacks may remain undetected for a significant length of time thus causing a lack of trust. Untrusted cloud services can also lead to business losses in many cases and therefore need urgent attention. In this paper, we present <italic>Trusted Public Cloud</i> (<sc>TPC</small>), a generic framework ensuring the <italic>Zero-trust</i> security of client machine. It tracks the system state, alerting the user of unexpected changes in the machine’s state, thus increasing the run-time detection of security vulnerabilities. We validated <sc>TPC</small> on Microsoft Azure with Local, Software Trusted Platform Module (SWTPM) and Software Guard Extension (SGX)-enabled SWTPM security providers. We also evaluated the scalability of <sc>TPC</small> on Amazon Web Services (AWS) with a varying number of client machines executing in a concurrent environment. The execution results show the effectiveness of <sc>TPC</small> as it takes a maximum of 35.6 seconds to recognise the system state when there are 128 client machines attached.","PeriodicalId":13202,"journal":{"name":"IEEE Transactions on Cloud Computing","volume":"13 1","pages":"61-74"},"PeriodicalIF":5.0000,"publicationDate":"2024-11-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IEEE Transactions on Cloud Computing","FirstCategoryId":"94","ListUrlMain":"https://ieeexplore.ieee.org/document/10758678/","RegionNum":2,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"COMPUTER SCIENCE, INFORMATION SYSTEMS","Score":null,"Total":0}
引用次数: 0

Abstract

With the unprecedented demand for cloud computing, ensuring trust in the underlying environment is challenging. Applications executing in the cloud are prone to attacks of different types including malware, network and data manipulation. These attacks may remain undetected for a significant length of time thus causing a lack of trust. Untrusted cloud services can also lead to business losses in many cases and therefore need urgent attention. In this paper, we present Trusted Public Cloud (TPC), a generic framework ensuring the Zero-trust security of client machine. It tracks the system state, alerting the user of unexpected changes in the machine’s state, thus increasing the run-time detection of security vulnerabilities. We validated TPC on Microsoft Azure with Local, Software Trusted Platform Module (SWTPM) and Software Guard Extension (SGX)-enabled SWTPM security providers. We also evaluated the scalability of TPC on Amazon Web Services (AWS) with a varying number of client machines executing in a concurrent environment. The execution results show the effectiveness of TPC as it takes a maximum of 35.6 seconds to recognise the system state when there are 128 client machines attached.
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
确保云环境中客户机零信任状态的运行时框架
随着对云计算的空前需求,确保对底层环境的信任是一项挑战。在云中执行的应用程序容易受到不同类型的攻击,包括恶意软件、网络和数据操纵。这些攻击可能在很长一段时间内未被发现,从而导致缺乏信任。在许多情况下,不可信的云服务也可能导致业务损失,因此需要紧急关注。本文提出了一种保证客户端机器零信任安全的通用框架可信公共云(TPC)。它跟踪系统状态,提醒用户机器状态的意外变化,从而增加对安全漏洞的运行时检测。我们在Microsoft Azure上使用本地、软件可信平台模块(SWTPM)和软件保护扩展(SGX)支持的SWTPM安全提供商验证了TPC。我们还通过在并发环境中执行不同数量的客户机,评估了TPC在Amazon Web Services (AWS)上的可伸缩性。执行结果显示了TPC的有效性,因为当连接了128台客户机时,它最多需要35.6秒来识别系统状态。
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
IEEE Transactions on Cloud Computing
IEEE Transactions on Cloud Computing Computer Science-Software
CiteScore
9.40
自引率
6.20%
发文量
167
期刊介绍: The IEEE Transactions on Cloud Computing (TCC) is dedicated to the multidisciplinary field of cloud computing. It is committed to the publication of articles that present innovative research ideas, application results, and case studies in cloud computing, focusing on key technical issues related to theory, algorithms, systems, applications, and performance.
期刊最新文献
DRKC: Deep Reinforcement Learning Enhanced Microservice Scheduling on Kubernetes Clusters in Cloud-Edge Environment Budget-Feasible Clock Mechanism for Hierarchical Computation Offloading in Edge-Vehicle Collaborative Computing Lightweight Conditional Privacy-Preserving Scheme for VANET Communications Comments on “Blockchain-Assisted Public-Key Encryption With Keyword Search Against Keyword Guessing Attacks for Cloud Storage” Forward-Secure Multi-User Graph Searchable Encryption for Exact Shortest Path Queries
×
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:604180095
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