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A lightweight protocol for privacy preserving division

机译：隐私保护部门的轻量级协议

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摘要

Homomorphic encryption is a well established means for performing operations on encrypted data. In many real-world applications however, the need arises to perform division over integers and yield a floating point result. This cannot be performed in the encrypted domain of most homomorphic encryption schemes. Thus, one has to resort to Secure Two Party Computation which suffers from high communication costs or to a Fully Homomorphic encryption scheme which is still inefficient. In this work, we present a lightweight and flexible protocol that takes as input two homomorphically encrypted integers, privately divides them and returns the result in floating point format. Our tool is designed to support both additive and multiplicative homomorphic schemes. We measure the privacy offered using a well established privacy metric and provide timings for the operations. We evaluate our protocol on a real world application scenario conducting simulations of attacks and present our encouraging results.
机译：同态加密是一种用于对加密数据执行操作的完善方法。但是，在许多实际应用中，需要对整数进行除法并产生浮点结果。这不能在大多数同态加密方案的加密域中执行。因此，人们不得不求助于遭受高通信成本的安全两方计算，或者求助于仍然效率低下的全同态加密方案。在这项工作中，我们提出了一种轻量级且灵活的协议，该协议将两个同态加密的整数作为输入，将它们私下划分并以浮点格式返回结果。我们的工具旨在支持加法和乘法同态方案。我们使用完善的隐私度量标准来衡量所提供的隐私，并提供操作的时间安排。我们在进行攻击模拟的真实应用场景中评估协议，并给出令人鼓舞的结果。

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