題  目：Resource Allocation and Security for Heterogeneous Cloud Systems

内容簡介：Recent booming growth of cloud computing and Big Data &AI have brought numerous challenges to resource scheduling and security from both insider and outsider threats. The encrypted data are relatively considered a safe storage status. However, the process of encrypting data is still facing adversarial actions and data process generally is inapplicable over cipher-texts. As a type of the encryption approach allowing computations over cipher-texts, a Fully Homomorphic Encryption (FHE) can concurrently deal with the adversarial hazards and support computations on cipher-texts. This research focuses on the issue of blend arithmetic operations over real numbers and proposes a novel tensor-based FHE solution with limited resources available. The proposed approach is called a Fully Homomorphic Encryption for Blend Operations (FHE-BO) model that uses tensor laws to carry the computations of blend arithmetic operations over real numbers. The experimental results have depicted that our approach is superior in security protection and resource usage to previous methods.

報告人：美國哥倫比亞大學  邱美康  教授

時  間：2018年12月28日（周五）上午9：30始

地  點：教學大樓A310室

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2018年12月24日