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Privacy Preserving Spam Email Filtering Based on Somewhat Homomorphic Using Functional Encryption

机译:基于某种功能加密的略带态度保留垃圾邮件过滤的隐私

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摘要

With the advent of cloud computing, there has been a recent trend of delegating the computation (of a specific function) from the client to the third party (cloud). The privacy condition in this scenario requires that the third party should be able to perform the computation of the required specific function over the private (encrypted) data, but learn nothing else about the data (apart from the specific computation performed on that specific encrypted data). We take into account this concern in scenario of proxy email server (semi honest) which is required to perform specific functions (filtering encrypted spam mails) with minimal or no knowledge about the input data. We also highlight the limitations and challenges over the set of functions that can be performed by proxy email server in context of functional encryption.
机译:随着云计算的出现,最近曾经委托客户到第三方(云)的计算(特定函数)的趋势。这种情况下的隐私条件要求第三方应该能够通过私有(加密的)数据来执行所需的特定功能,但是除了在该特定加密数据上执行的特定计算之外,还没有学习否则)。我们在代理电子邮件服务器(半诚实)方案中考虑了这种关注,这是执行特定功能(过滤加密的垃圾邮件),以最小或没有关于输入数据的知识。我们还突出了通过在功能加密的上下文中通过代理电子邮件服务器执行的功能集中的限制和挑战。

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