Enhanced chosen-ciphertext security and applications
Dachman Soled D, Fuchsbauer G, Mohassel P, O’Neill A. 2014. Enhanced chosen-ciphertext security and applications. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PKC: Public Key Crypography, LNCS, vol. 8383, 329–344.
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Conference Paper
| Published
| English
Scopus indexed
Author
Dachman Soled, Dana;
Fuchsbauer, GeorgISTA;
Mohassel, Payman;
O’Neill, Adam
Editor
Krawczyk, Hugo
Department
Series Title
LNCS
Abstract
We introduce and study a new notion of enhanced chosen-ciphertext security (ECCA) for public-key encryption. Loosely speaking, in the ECCA security experiment, the decryption oracle provided to the adversary is augmented to return not only the output of the decryption algorithm on a queried ciphertext but also of a randomness-recovery algorithm associated to the scheme. Our results mainly concern the case where the randomness-recovery algorithm is efficient. We provide constructions of ECCA-secure encryption from adaptive trapdoor functions as defined by Kiltz et al. (EUROCRYPT 2010), resulting in ECCA encryption from standard number-theoretic assumptions. We then give two applications of ECCA-secure encryption: (1) We use it as a unifying concept in showing equivalence of adaptive trapdoor functions and tag-based adaptive trapdoor functions, resolving an open question of Kiltz et al. (2) We show that ECCA-secure encryption can be used to securely realize an approach to public-key encryption with non-interactive opening (PKENO) originally suggested by Damgård and Thorbek (EUROCRYPT 2007), resulting in new and practical PKENO schemes quite different from those in prior work. Our results demonstrate that ECCA security is of both practical and theoretical interest.
Publishing Year
Date Published
2014-01-01
Proceedings Title
Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Publisher
Springer
Acknowledgement
The second author was supported by EPSRC grant EP/H043454/1.
Volume
8383
Page
329 - 344
Conference
PKC: Public Key Crypography
Conference Location
Buenos Aires, Argentina
Conference Date
2014-03-26 – 2014-03-28
IST-REx-ID
Cite this
Dachman Soled D, Fuchsbauer G, Mohassel P, O’Neill A. Enhanced chosen-ciphertext security and applications. In: Krawczyk H, ed. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Vol 8383. Springer; 2014:329-344. doi:10.1007/978-3-642-54631-0_19
Dachman Soled, D., Fuchsbauer, G., Mohassel, P., & O’Neill, A. (2014). Enhanced chosen-ciphertext security and applications. In H. Krawczyk (Ed.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 8383, pp. 329–344). Buenos Aires, Argentina: Springer. https://doi.org/10.1007/978-3-642-54631-0_19
Dachman Soled, Dana, Georg Fuchsbauer, Payman Mohassel, and Adam O’Neill. “Enhanced Chosen-Ciphertext Security and Applications.” In Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Hugo Krawczyk, 8383:329–44. Springer, 2014. https://doi.org/10.1007/978-3-642-54631-0_19.
D. Dachman Soled, G. Fuchsbauer, P. Mohassel, and A. O’Neill, “Enhanced chosen-ciphertext security and applications,” in Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), Buenos Aires, Argentina, 2014, vol. 8383, pp. 329–344.
Dachman Soled D, Fuchsbauer G, Mohassel P, O’Neill A. 2014. Enhanced chosen-ciphertext security and applications. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). PKC: Public Key Crypography, LNCS, vol. 8383, 329–344.
Dachman Soled, Dana, et al. “Enhanced Chosen-Ciphertext Security and Applications.” Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), edited by Hugo Krawczyk, vol. 8383, Springer, 2014, pp. 329–44, doi:10.1007/978-3-642-54631-0_19.
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