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首页> 外文期刊>IAES International Journal of Artificial Intelligence >Fuzzy-Set Based Privacy Preserving Access Control Techniques in Cloud (FB-PPAC)
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Fuzzy-Set Based Privacy Preserving Access Control Techniques in Cloud (FB-PPAC)

机译:云中基于模糊集的隐私保护访问控制技术(FB-PPAC)

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摘要

The word “Cloud” refers to network or internet. It is present at.remote location. Cloud computing is a latest mechanism used now-a-days for accessing, manipulating and configuring applications online via internet. It allows users for online data storage, various applications and infrastructure. There are few downsides of cloud computing like in public cloud sharing of data, selected data shared with users of various level without confidentiality and privacy of data. Different methods were used to fix this problem like encryption of attribute; encryption of access control but they have their own problems related to big computation for accquiring access structure, invoking and behavior management. So for removing these weakness, the combination of fuzzy-set theory and RSA algorithm has been introduced. Fuzzy-set is used for clustering the data based on their points. Further for privacy, I have included RSA for encryption and decryption of data which is used to store in cloud database. The analysis of my experiment shows the system is efficient, flexible and provides confidentiality of the data.
机译:“云”一词是指网络或互联网。它位于远程位置。云计算是当今通过互联网在线访问,操纵和配置应用程序的最新机制。它允许用户进行在线数据存储,各种应用程序和基础架构。云计算的缺点很少,例如在公共云中共享数据,与各种级别的用户共享选定的数据而没有数据的保密性和私密性。使用了多种方法来解决此问题,例如属性加密。对访问控制进行加密,但是它们具有与获取访问结构,调用和行为管理的大量计算有关的自身问题。因此,为消除这些弱点,引入了模糊集理论和RSA算法的结合。模糊集用于基于数据点对数据进行聚类。为了进一步保护隐私,我包括了用于加密和解密数据的RSA,该数据用于存储在云数据库中。我的实验分析表明,该系统高效,灵活,并提供了数据的机密性。

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