Secure Hybrid Encryption in the Standard Model from Hard Learning Problems

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Accepted Manuscript (AM)
Author(s)
Boyen, Xavier
Izabachène, Malika
Li, Qinyi
Griffith University Author(s)
Year published
2021
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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.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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Conference Title
Lecture Notes in Computer Science
Copyright Statement
© 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
Subject
Cryptography