A Survey on Transciphering and Symmetric Ciphers for Homomorphic Encryption

ePrint Report: A Survey on Transciphering and Symmetric Ciphers for Homomorphic Encryption
Indranil Thakur, Angshuman Karmakar, Chaoyun Li, Bart Preneel

Data privacy concerns are sharply rising in the current digital era, hyperdriven by cloud computing, big data analytics, and the Internet of Things. Homomorphic Encryption (HE) has emerged as an ideal technique for computing on encrypted data, but current schemes suffer from slow encryption speed and large ciphertext expansion. Practical implementation is hindered, especially when the client has limited bandwidth, memory, and computing power. In 2011, Naehrig et al. proposed transciphering, reducing computational and communication overload on the client side. This involves symmetric ciphers with minimized multiplicative complexity, referred to as HE-Friendly Ciphers (HEFCs).

In this work, we present a detailed study of transciphering for HE by systematizing existing knowledge and crystallizing research challenges. Particularly we conduct a comprehensive study on state-of-the-art HEFC constructions. Our work highlights gaps, open problems, and directions for future research.

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