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CloudSec: A Novel Approach to Verifying Security Conformance at the Bottom of the Cloud

  • Beihang University
  • Guangxi Normal University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

In the process of big data analysis and processing, a key concern blocking users from storing and processing their data in the cloud is their misgivings about the security and performance of cloud services. There is an urgent need to develop an approach that can help each cloud service provider (CSP) to demonstrate that their infrastructure and service behavior can meet the users' expectations. However, most of the prior research work focused on validating the process compliance of cloud service without an accurate description of the basic service behaviors, and could not measure the security capability. In this paper, we propose a novel approach to verify cloud service security conformance called CloudSec, which reduces the description gap between the cloud provider and customer through modeling cloud service behaviors (CloudBeh Model) and security SLA (SecSLA Model). These models enable a systematic integration of security constraints and service behavior into cloud while using UPPAAL to check the conformance, which can not only check CloudBeh performance metrics conformance, but also verify whether the security constraints meet the SecSLA. The proposed approach is validated through case study and experiments with a cloud storage service based on OpenStack, which illustrates CloudSec approach effectiveness and can be applied in real cloud scenarios.

源语言英语
主期刊名Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017
编辑George Karypis, Jia Zhang
出版商Institute of Electrical and Electronics Engineers Inc.
页569-576
页数8
ISBN(电子版)9781538619964
DOI
出版状态已出版 - 7 9月 2017
活动6th IEEE International Congress on Big Data, BigData Congress 2017 - Honolulu, 美国
期限: 25 6月 2017 → 30 6月 2017

丛书

姓名Proceedings - 2017 IEEE 6th International Congress on Big Data, BigData Congress 2017

会议

会议6th IEEE International Congress on Big Data, BigData Congress 2017
国家/地区美国
市Honolulu
时期25/06/17 → 30/06/17

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