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  • Secure Hybrid Encryption in the Standard Model from Hard Learning Problems

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    Li503143-Accepted.pdf (461.3Kb)
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    Accepted Manuscript (AM)
    Author(s)
    Boyen, Xavier
    Izabachène, Malika
    Li, Qinyi
    Griffith University Author(s)
    Li, Qinyi
    Year published
    2021
    Metadata
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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.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
    DOI
    https://doi.org/10.1007/978-3-030-81293-5_21
    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
    Publication URI
    http://hdl.handle.net/10072/406159
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    • Conference outputs

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