TERMinator Suite: Benchmarking Privacy-Preserving Architectures

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Dimitris Mouris, Nektarios Georgios Tsoutsos, and Michail Maniatakos

Security and privacy are fundamental objectives characterizing contemporary cloud computing. Despite the wide adoption of encryption for protecting data in transit and at rest, data in use remains unencrypted inside cloud processors and memories, as computation is not applicable on encrypted values. This limitation introduces security risks, as unencrypted values can be leaked through side-channels or hardware Trojans. To address this problem, encrypted architectures have recently been proposed, which leverage homomorphic encryption to natively process encrypted data using datapaths of thousands of bits.