Multi-key FHE from LWE, Revisited
Traditional fully homomorphic encryption (FHE) schemes only allow computation on data encrypted under a single key. López-Alt, Tromer, and Vaikuntanathan (STOC 2012) proposed the notion of multi-key FHE, which allows homomorphic computation on ciphertexts encrypted under different keys, and also gave a construction based on a (somewhat nonstandard) assumption related to NTRU. More recently, Clear and McGoldrick (CRYPTO 2015), followed by Mukherjee and Wichs (EUROCRYPT 2016), proposed a multi-key FHE that builds upon the LWE-based FHE of Gentry, Sahai, and Waters (CRYPTO 2013). However, unlike the original construction of López-Alt et al., these later LWE-based schemes have the somewhat undesirable property of being “single-hop for keys:” all relevant keys must be known at the start of the homomorphic computation, and the output cannot be usefully combined with ciphertexts encrypted under other keys (unless an expensive “bootstrapping” step is performed).
In this work we construct two multi-key FHE schemes, based on LWE assumptions, which are multi-hop for keys: the output of a homomorphic computation on ciphertexts encrypted under a set of keys can be used in further homomorphic computation involving additional keys, and so on. Moreover, incorporating ciphertexts associated with new keys is a relatively efficient “native” operation akin to homomorphic multiplication, and does not require bootstrapping (in contrast with all other LWE-based solutions). Our systems also have smaller ciphertexts than the previous LWE-based ones; in fact, ciphertexts in our second construction are simply GSW ciphertexts with no auxiliary data.
- 4.Asharov, G., Jain, A., López-Alt, A., Tromer, E., Vaikuntanathan, V., Wichs, D.: Multiparty computation with low communication, computation and interaction via threshold FHE. In: Pointcheval, D., Johansson, T. (eds.) EUROCRYPT 2012. LNCS, vol. 7237, pp. 483–501. Springer, Heidelberg (2012). doi: 10.1007/978-3-642-29011-4_29 CrossRefGoogle Scholar
- 5.Brakerski, Z., Langlois, A., Peikert, C., Regev, O., Stehlé, D.: Classical hardness of learning with errors. In: STOC, pp. 575–584 (2013)Google Scholar
- 7.Brakerski, Z., Vaikuntanathan, V.: Lattice-based FHE as secure as PKE. In: ITCS, pp. 1–12 (2014)Google Scholar
- 9.Gentry, C.: A fully homomorphic encryption scheme. PhD thesis, Stanford University (2009). http://crypto.stanford.edu/craig
- 11.Gentry, C., Sahai, A., Waters, B.: Homomorphic encryption from learning with errors: conceptually-simpler, asymptotically-faster, attribute-based. In: Canetti, R., Garay, J.A. (eds.) CRYPTO 2013. LNCS, vol. 8042, pp. 75–92. Springer, Heidelberg (2013). doi: 10.1007/978-3-642-40041-4_5 CrossRefGoogle Scholar
- 12.Gorbunov, S., Vaikuntanathan, V., Wichs, D.: Leveled fully homomorphic signatures from standard lattices. In: STOC, pp. 469–477 (2015)Google Scholar
- 14.Kirchner, P., Fouque, P.-A.: Comparison between subfield and straightforward attacks on NTRU. Cryptology ePrint Archive, Report 2016/717 (2016). http://eprint.iacr.org/2016/717
- 15.López-Alt, A., Tromer, E., Vaikuntanathan, V.: On-the-fly multiparty computation on the cloud via multikey fully homomorphic encryption. In: STOC, pp. 1219–1234 (2012)Google Scholar
- 19.Peikert, C.: Public-key cryptosystems from the worst-case shortest vector problem. In: STOC, pp. 333–342 (2009)Google Scholar