基于服务的云安全信任管理分类器方法

Chandan Banerjee, A. Kundu, Moitree Basu, P. Deb, Devtapa Nag, R. Dattagupta
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引用次数: 6

摘要

在本文中,我们提出了一个云数据安全框架,该框架能够保护用户的数据,从而快速发现恶意用户。在最坏的情况下,域不受影响。在这种方法中,我们为分类引入了一个新的常数值,可以自动重定向到访问相应集群的请求。每种服务类型都有自己的基于用户的操作值范围。计算了动作权值,当信任区域或无害区域的用户重复进行相同的恶意操作时,当且仅当容忍度阈值达到时,该用户将被直接转移到非信任用户区域,该用户将无法使用该数据。本文提出了一种基于服务的云安全信任管理分类器方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A service based trust management classifier approach for cloud security
In this paper, we have proposed a framework for cloud data security which is capable of securing users' data, such that malicious user is detected quickly. The domain remains unaffected in worst case scenario. In this method, we have introduced a new constant value for classification that can automatically be redirected to access the requests for the corresponding cluster. Each service type has its own range of action value based on the user. Weight of the action has been calculated and once a user of trusted or innocent region does the same malicious work repeatedly, the user would be directly transferred to non-trusted user region and the data would remain un-available to the user, if and only if the threshold value of tolerance is reached. In this work, a service based trust management classifier approach is proposed for cloud security.
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