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How to Construct Polar Codes for Ring-LWE-Based Public Key Encryption.

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  • 1Beijing National Research Center for Information Science and Technology, Tsinghua University, Beijing 100084, China.

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|August 27, 2021
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Summary
This summary is machine-generated.

This study introduces polar coding for public key encryption (PKE) based on ring learning with errors (RLWE). The new method enhances security by improving the error distribution while maintaining a low decryption failure rate (DFR).

Keywords:
decryption failure rateerror dependencypolar codespublic key encryptionring LWE

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Area of Science:

  • Cryptography
  • Coding Theory
  • Computer Science

Background:

  • Public key encryption (PKE) schemes based on ring learning with errors (RLWE) face a trade-off between security (wider error distribution) and decryption failure rate (DFR).
  • Existing RLWE-based PKE schemes struggle to effectively apply standard error-correcting codes due to correlated error terms and security concerns with decoding algorithms.
  • Accurate DFR estimation is challenging for RLWE schemes, hindering the creation of a sufficient DFR margin for enhanced security.

Purpose of the Study:

  • To propose a novel polar coding scheme for RLWE-based PKE to address the security-DFR trade-off.
  • To overcome limitations of traditional error-correcting codes in cryptographic applications.
  • To enhance the security and reliability of RLWE-based PKE systems.

Main Methods:

  • Developed a polar coding scheme tailored for RLWE-based PKE.
  • Introduced a relaxed 'independence' assumption to derive an uncorrelated residue noise term.
  • Utilized wireless communication strategies (outage) for polar code construction and exploited residue noise properties for improved decoding.

Main Results:

  • The proposed polar coding scheme achieves a significant DFR margin, enhancing security by 28.8% compared to benchmarks.
  • A decryption failure rate (DFR) of 2^-149 was achieved with specific parameters (code rate 0.25, n=1024, q=12,289, k=55).
  • Polar encoding and decoding exhibit quasilinear complexity (O(Nlog2N)) and support constant-time implementations, addressing safety concerns.

Conclusions:

  • Polar coding offers a viable and effective solution for RLWE-based PKE, balancing security and decryption reliability.
  • The scheme provides a competitive security improvement and a low DFR, making it suitable for practical cryptographic applications.
  • The constant-time nature of polar decoding enhances the security of RLWE-based PKE against side-channel attacks.