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可信计算增强了云认证。

Trusted computing strengthens cloud authentication.

作者信息

Ghazizadeh Eghbal, Zamani Mazdak, Ab Manan Jamalul-lail, Alizadeh Mojtaba

机构信息

Universiti Teknologi Malaysia, 54100 Kuala Lumpur, Malaysia.

MIMOS Berhad, Technology Park Malaysia, 57000 Kuala Lumpur, Malaysia.

出版信息

ScientificWorldJournal. 2014 Feb 18;2014:260187. doi: 10.1155/2014/260187. eCollection 2014.

DOI:10.1155/2014/260187
PMID:24701149
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC3948200/
Abstract

Cloud computing is a new generation of technology which is designed to provide the commercial necessities, solve the IT management issues, and run the appropriate applications. Another entry on the list of cloud functions which has been handled internally is Identity Access Management (IAM). Companies encounter IAM as security challenges while adopting more technologies became apparent. Trust Multi-tenancy and trusted computing based on a Trusted Platform Module (TPM) are great technologies for solving the trust and security concerns in the cloud identity environment. Single sign-on (SSO) and OpenID have been released to solve security and privacy problems for cloud identity. This paper proposes the use of trusted computing, Federated Identity Management, and OpenID Web SSO to solve identity theft in the cloud. Besides, this proposed model has been simulated in .Net environment. Security analyzing, simulation, and BLP confidential model are three ways to evaluate and analyze our proposed model.

摘要

云计算是新一代技术，旨在提供商业必需品、解决IT管理问题并运行适当的应用程序。在内部处理的云功能列表中的另一个条目是身份访问管理（IAM）。随着采用更多技术，公司将IAM视为安全挑战变得明显起来。基于可信平台模块（TPM）的可信多租户和可信计算是解决云身份环境中信任和安全问题的优秀技术。单点登录（SSO）和OpenID已发布以解决云身份的安全和隐私问题。本文提出使用可信计算、联合身份管理和OpenID Web SSO来解决云中的身份盗窃问题。此外，该提议的模型已在.Net环境中进行了模拟。安全分析、模拟和BLP机密模型是评估和分析我们提议模型的三种方法。

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