Towards Efficient LPN-Based Symmetric Encryption
| Autor: | Dario Korolija, Thomas Locher, Serge Vaudenay, Sonia Bogos |
|---|---|
| Rok vydání: | 2021 |
| Předmět: |
Scheme (programming language)
lpn Computer science business.industry Distributed computing Exclusive or Construct (python library) Encryption fpga implementation Symmetric-key algorithm symmetric encryption Noise (video) learning parity with noise business computer Computer Science::Cryptography and Security computer.programming_language |
| Zdroj: | Applied Cryptography and Network Security ISBN: 9783030783747 ACNS (2) |
| DOI: | 10.1007/978-3-030-78375-4_9 |
| Popis: | Due to the rapidly growing number of devices that need to communicate securely, there is still significant interest in the development of efficient encryption schemes. It is important to maintain a portfolio of different constructions in order to enable a quick transition if a novel attack breaks a construction currently in use. A promising approach is to construct encryption schemes based on the learning parity with noise (LPN) problem as these schemes can typically be implemented fairly efficiently using mainly "exclusive or" (XOR) operations. Most LPN-based schemes in the literature are asymmetric, and there is no practical evaluation of any LPN-based symmetric encryption scheme. In this paper, we propose a novel LPN-based symmetric encryption scheme that is more efficient than related schemes. Apart from analyzing our scheme theoretically, we provide the first practical evaluation of a symmetric LPN-based scheme, including a study of its performance in terms of attainable throughput depending on the selected parameters. As the encryption scheme lends itself to an implementation in hardware, we further evaluate it on a low-end SoC FPGA. The measurement results attest that our encryption scheme achieves high performance rates in terms of throughput on such hardware, providing evidence that symmetric encryption schemes based on hard learning problems may be constructed that can compete with state-of-the-art encryption schemes. |
| Databáze: | OpenAIRE |
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