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Secure, Efficient and Dynamic Data Search using Searchable Symmetric Encryption

机译:使用可搜索的对称加密安全,高效和动态的数据搜索

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Fog computing, which works complementary to cloud computing, is being developed to overcome the issue of cloud computing such as latency in the cases where the data is to be retrieved immediately. But, along with solving the problem of latency, fog computing brings along with it different set of security issues than cloud computing. The storage and processing capabilities of fog computing is limited and hence, the security issues must be solved with these constrained resources. One of the problems faced when the data is stored outside the internal network is loss of confidentiality. For this, the data must be encrypted. But, whenever document needs to be searched, all the related documents must be decrypted first and later the required document is to be fetched. Within this time frame, the document data can be accessed by an unauthorized person. So, in this paper, a searchable symmetric encryption scheme is proposed wherein the authorized members of an organization can search over the encrypted data and retrieve the required document in order to preserve the security and privacy of the data. Also, the searching complexity of the algorithm is much less so that it suitable to fog computing environment.
机译:正在开发用于互补云计算的雾计算,以克服云计算问题,例如要立即检索数据的情况下的延迟。但是,随着解决延迟问题,雾计算与它不同于云计算的不同安全问题。雾计算的存储和处理能力有限,因此,必须使用这些约束资源来解决安全问题。当数据存储在内部网络之外时面临的问题之一是丧失机密性。为此,必须加密数据。但是,只要需要搜索文档,就必须先解密所有相关文档,稍后将获取所需的文档。在此时间范围内,可以由未经授权的人员访问文档数据。因此,在本文中,提出了一种可搜索的对称加密方案,其中组织的授权成员可以通过加密的数据搜索并检索所需的文档,以便保留数据的安全性和隐私。此外,算法的搜索复杂性很少,因此适合于雾计算环境。

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