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A multi-agent approach: To preserve user information privacy for a pervasive and ubiquitous environment

机译:多代理方法:在普适无所不在的环境中保护用户信息的隐私

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Cloud user’s data are getting insecure in current technological advancement. This research focuses on proposing a secure model to maintain the secrecy in a cloud environment using intelligent agent. This paper presents an intelligent model to protect user’s valuable personal data. Preserving proprietor’s data and information in cloud is one of the top most challenging missions for cloud provider. Many researches fanatical their valuable time’s to discover some technique, algorithms and protocols to solve secrecy issue and develop a full-fledged cloud computing standard structure as a newest computing to all cloud users. Some researchers came forward with cryptography technique, cyber middle wear technique, noise injection and third party layer technique to preserve privacy about data in cloud. We propose a hybrid authentication technique as an end point lock. It is a composite model coupled with an algorithm for user’s privacy preserving, which is likely to be Hash Diff Anomaly Detection and Prevention (HDAD). This algorithmic protocol acts intelligently as a privacy preserving model and technique to ensure the users data are kept more secretly and develop an endorsed trust on providers. We also explore the highest necessity to maintain the confidentiality of cloud user’s data.
机译:在当前的技术进步中,云用户的数据越来越不安全。这项研究的重点是提出一种安全模型,以使用智能代理在云环境中维护机密性。本文提出了一种智能模型来保护用户的宝贵个人数据。在云中保存所有人的数据和信息是云提供商面临的最艰巨的任务之一。许多研究狂热地花费宝贵的时间来发现一些技术,算法和协议来解决保密问题,并开发出成熟的云计算标准结构作为对所有云用户的最新计算。一些研究人员提出了加密技术,网络中间穿戴技术,噪声注入和第三方层技术来保护云中数据的隐私。我们提出了一种混合身份验证技术作为端点锁定。它是一个复合模型,结合了用于保护用户隐私的算法,该算法很可能是哈希差异检测和预防(HDAD)。该算法协议可以智能地充当隐私保护模型和技术,以确保更秘密地保存用户数据并建立对提供者的认可信任。我们还将探讨维护云用户数据机密性的最高必要性。

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