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UBM – UVM Approach for Preventing Insider Data Theft from Cloud Storage

机译:UBM –防止云存储内幕数据失窃的UVM方法

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A huge number of internet users are employing cloud computing for data storage. As a result, proper security in potentially vulnerable areas of cloud storage technology has become a major point of concern for the users contracting with a cloud service provider. Strong and robust techniques for securing data on the cloud are thereby a compulsive need to the cloud service providers, to provide reliable service and cloud storage service users, to rely on the service providers. For securing data on the cloud, encryption and sophisticated user access are major techniques used. But these techniques corroborate to be weak in preventing data theft attacks when the data thief is a malevolent insider to the cloud service provider. In this paper, we propose a two-layered approach for securing data in the cloud using user behavior monitoring (UBM) and user verification mechanism (UVM) once any data thief is suspected by our detection system.
机译:大量的互联网用户正在使用云计算进行数据存储。结果,在与云服务提供商签约的用户中,云存储技术的潜在脆弱区域中的适当安全性已成为关注的主要问题。因此,用于在云上保护数据的强大技术使云服务提供商迫切需要提供可靠的服务和云存储服务用户,以依赖服务提供商。为了保护云上的数据,加密和复杂的用户访问是使用的主要技术。但是,当数据窃贼是云服务提供商的恶意内部人员时,这些技术证明无法有效防止数据盗窃攻击。在本文中,我们提出了一种两层方法,一旦检测系统怀疑有任何数据窃贼,便可以使用用户行为监控(UBM)和用户验证机制(UVM)保护云中的数据。

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