Defending Against Key Exfiltration: Efficiency Improvements for Big-Key Cryptography via Large-Alphabet Subkey Prediction
Title | Defending Against Key Exfiltration: Efficiency Improvements for Big-Key Cryptography via Large-Alphabet Subkey Prediction |
Publication Type | Conference Paper |
Year of Publication | 2017 |
Authors | Bellare, Mihir, Dai, Wei |
Conference Name | Proceedings of the 2017 ACM SIGSAC Conference on Computer and Communications Security |
Publisher | ACM |
Conference Location | New York, NY, USA |
ISBN Number | 978-1-4503-4946-8 |
Keywords | big-key cryptography, bounded retrieval model, Human Behavior, key exfiltration, Key Management, Metrics, pubcrawl, resilience, Resiliency, Scalability |
Abstract | Towards advancing the use of big keys as a practical defense against key exfiltration, this paper provides efficiency improvements for cryptographic schemes in the bounded retrieval model (BRM). We identify probe complexity (the number of scheme accesses to the slow storage medium storing the big key) as the dominant cost. Our main technical contribution is what we call the large-alphabet subkey prediction lemma. It gives good bounds on the predictability under leakage of a random sequence of blocks of the big key, as a function of the block size. We use it to significantly reduce the probe complexity required to attain a given level of security. Together with other techniques, this yields security-preserving performance improvements for BRM symmetric encryption schemes and BRM public-key identification schemes. |
URL | http://doi.acm.org/10.1145/3133956.3133965 |
DOI | 10.1145/3133956.3133965 |
Citation Key | bellare_defending_2017 |