Secure Hybrid Encryption in the Standard Model from Hard Learning Problems

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Boyen, Xavier
Izabachène, Malika
Li, Qinyi
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2021
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Daejeon, South Korea
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Abstract

We present chosen-ciphertext secure hybrid encryption systems in the standard model from the learning with errors problem and low-noise learning parity with noise problem. The systems consist of public-key key encapsulation mechanisms that are not chosen-ciphertext secure. The systems are more efficient than the existing chosen-ciphertext secure hybrid encryption systems in the standard model based on the same hard learning problems.

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Lecture Notes in Computer Science
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© Springer Nature Switzerland AG 2021. This is the author-manuscript version of this paper. Reproduced in accordance with the copyright policy of the publisher.The original publication is available at www.springerlink.com
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Cryptography
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Boyen, X; Izabachène, M; Li, Q, Secure Hybrid Encryption in the Standard Model from Hard Learning Problems, Lecture Notes in Computer Science, 2021, pp. 399-418