Towards leakage-resilient fine-grained access control in fog computing

In this paper, we consider how to construct functional encryption schemes (FEs) adaptively secure in continual memory leakage model (CML), which is one of the strongest models that allows continuous leakage on both user and master secret keys. Besides providing privacy and fine-grained access control in fog computing, our scheme can also guarantee security against side channel attacks. More concretely, we propose a generic framework for constructing fully secure leakage-resilient FEs (LR-FEs) in the CML model results from leakage-resilient pair encoding, which is an extension of pair encoding presented in the recent work of Attrapadung. In this way, our framework simplifies the design and analysis of LR-FEs into the design and analysis of predicate encodings. Moreover, we discover new adaptively secure LR-FEs, including FE for regular languages, attribute-based encryption (ABE) for large universe and ABE with short ciphertext. Above all, leakage-resilient adaptively secure functional encryption schemes can equip fog computing with higher security and fine-grained access control.