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Efficient and secure multiparty computation from fixed-key block ciphers

  • Chun Guo
  • , Jonathan Katz
  • , Xiao Wang
  • , Yu Yu
  • Université catholique de Louvain
  • University of Maryland, College Park
  • Northwestern University
  • Shanghai Jiao Tong University

科研成果: 书/报告/会议事项章节 › 会议稿件 › 同行评审

摘要

Many implementations of secure computation use fixed-key AES (modeled as a random permutation); this results in substantial performance benefits due to existing hardware support for AES and the ability to avoid recomputing the AES key schedule. Surveying these implementations, however, we find that most utilize AES in a heuristic fashion; in the best case this leaves a gap in the security proof, but in many cases we show it allows for explicit attacks.Motivated by this unsatisfactory state of affairs, we initiate a comprehensive study of how to use fixed-key block ciphers for secure computation - in particular for OT extension and circuit garbling - efficiently and securely. Specifically:•We consider several notions of pseudorandomness for hash functions (e.g., correlation robustness), and show provably secure schemes for OT extension, garbling, and other applications based on hash functions satisfying these notions.•We provide provably secure constructions, in the (non-programmable) random-permutation model, of hash functions satisfying the different notions of pseudorandomness we consider.Taken together, our results provide end-to-end security proofs for implementations of secure-computation protocols based on fixed-key block ciphers (modeled as random permutations). Perhaps surprisingly, at the same time our work also results in noticeable performance improvements over the state-of-the-art.

源语言英语
主期刊名Proceedings - 2020 IEEE Symposium on Security and Privacy, SP 2020
出版商Institute of Electrical and Electronics Engineers Inc.
页825-841
页数17
ISBN(电子版)9781728134970
DOI
出版状态已出版 - 5月 2020
已对外发布是
活动41st IEEE Symposium on Security and Privacy, SP 2020 - San Francisco, 美国
期限: 18 5月 2020 → 21 5月 2020

丛书

姓名Proceedings - IEEE Symposium on Security and Privacy
卷2020-May
ISSN(印刷版)1081-6011

会议

会议41st IEEE Symposium on Security and Privacy, SP 2020
国家/地区美国
市San Francisco
时期18/05/20 → 21/05/20

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