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Lossy Trapdoor Functions and Their Applications
Author(s) -
Chris Peikert,
Brent Waters
Publication year - 2011
Publication title -
siam journal on computing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.533
H-Index - 122
eISSN - 1095-7111
pISSN - 0097-5397
DOI - 10.1137/080733954
Subject(s) - lossy compression , cryptographic primitive , cryptography , cryptosystem , injective function , computer science , hash function , theoretical computer science , encryption , security of cryptographic hash functions , ciphertext , oblivious transfer , ciphertext indistinguishability , mathematics , cryptographic protocol , discrete mathematics , algorithm , malleability , computer security , artificial intelligence
We propose a new general primitive called lossy trapdoor functions (lossy TDFs), and realize it under a variety of dierent number theoretic assumptions, including hardness of the decisional Die-Hellman (DDH) problem and the worst-case hardness of lattice problems. Using lossy TDFs, we develop a new approach for constructing several important crypto- graphic primitives, including (injective) trapdoor functions, collision-resistant hash functions, oblivious transfer, and chosen ciphertext-secure cryptosystems. All of the constructions are simple, ecient, and black-box. These results resolve some long-standing open problems in cryptography. They give the first known injective trapdoor functions based on problems not directly related to integer factor- ization, and provide the first known CCA-secure cryptosystem based solely on the worst-case complexity of lattice problems.

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