The DOI matches its Crossref record; 35 of the 35 references it cites were found in a registry or an index.
Lossy Trapdoor Functions and Their Applications
Abstract
We propose a general cryptographic primitive called lossy trapdoor functions (lossy TDFs), and we use it to develop new approaches for constructing several important cryptographic tools, including (injective) trapdoor functions, collision-resistant hash functions, oblivious transfer, and chosen ciphertext-secure cryptosystems (in the standard model). All of these constructions are simple, efficient, and black-box. We realize lossy TDFs based on a variety of cryptographic assumptions, including the hardness of the decisional Diffie–Hellman (DDH) problem and the hardness of the “learning with errors” problem (which is implied by the worst-case hardness of various lattice problems). Taken together, our results resolve some long-standing open problems in cryptography. They give the first injective TDFs based on problems not directly related to integer factorization and provide the first chosen ciphertext-secure cryptosystem based solely on worst-case complexity assumptions.
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Cites
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A method for obtaining digital signatures and public-key cryptosystems
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Paillier, P. (2007) · Lecture Notes in Computer Science · doi:10.1007/3-540-48910-x_16 · Cited by 7,250
Random oracles are practical: a paradigm for designing efficient protocols
Bellare, M., & Rogaway, P. (1993) · Proceedings of the 1st ACM conference on Computer and communications security - CCS '93 · doi:10.1145/168588.168596 · Cited by 4,712
Factoring polynomials with rational coefficients
Lenstra, A. K., Lenstra, H. W., & Lovász, L. (1982) · Mathematische Annalen · doi:10.1007/bf01457454 · Cited by 4,018
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Trapdoors for hard lattices and new cryptographic constructions
Gentry, C., Peikert, C., & Vaikuntanathan, V. (2008) · Proceedings of the fortieth annual ACM symposium on Theory of computing · doi:10.1145/1374376.1374407 · Cited by 2,435
Self-citationOn lattices, learning with errors, random linear codes, and cryptography
Regev, O. (2009) · Journal of the ACM · doi:10.1145/1568318.1568324 · Cited by 2,315
On lattices, learning with errors, random linear codes, and cryptography
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Cited by
Fully homomorphic encryption using ideal lattices
Gentry, C. (2009) · Proceedings of the forty-first annual ACM symposium on Theory of computing · doi:10.1145/1536414.1536440 · Cited by 6,806
On lattices, learning with errors, random linear codes, and cryptography
Regev, O. (2009) · Journal of the ACM · doi:10.1145/1568318.1568324 · Cited by 2,315
On Ideal Lattices and Learning with Errors over Rings
Lyubashevsky, V., Peikert, C., & Regev, O. (2013) · Journal of the ACM · doi:10.1145/2535925 · Cited by 836
Self-citationA Framework for Efficient and Composable Oblivious Transfer
Peikert, C., Vaikuntanathan, V., & Waters, B. (2008) · Lecture Notes in Computer Science · doi:10.1007/978-3-540-85174-5_31 · Cited by 678
Self-citationOvercoming the Hole in the Bucket: Public-Key Cryptography Resilient to Continual Memory Leakage
Brakerski, Z., Kalai, Y. T., Katz, J., & Vaikuntanathan, V. (2010) · 2010 IEEE 51st Annual Symposium on Foundations of Computer Science · doi:10.1109/focs.2010.55 · Cited by 242
Metadata
- Authors
- Peikert, C., & Waters, B.
- Venue
- SIAM Journal on Computing
- Published
- 2011-01
- Volume
- 40
- Issue
- 6
- Pages
- 1803-1844
- ISSN
- 0097-5397 (ISSN-L)
- 1095-7111
- OpenAlex
- W217975980
- Cited by
- 649
- References
- 35
- FWCI
- 66.25
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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