IDEAS home Printed from https://ideas.repec.org/a/gam/jjopen/v7y2024i4p24-420d1497862.html
   My bibliography  Save this article

An Enhanced Learning with Error-Based Cryptosystem: A Lightweight Quantum-Secure Cryptography Method

Author

Listed:
  • Mostefa Kara

    (Interdisciplinary Research Center for Intelligent Secure Systems (IRC-ISS), King Fahd University of Petroleum and Minerals (KFUPM), Dhahran 31261, Saudi Arabia)

  • Konstantinos Karampidis

    (Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece)

  • Giorgos Papadourakis

    (Department of Electrical and Computer Engineering, Hellenic Mediterranean University, 71410 Heraklion, Greece)

  • Mohammad Hammoudeh

    (Department of Computing and Mathematics, Manchester Metropolitan University, Manchester M15 6BH, UK)

  • Muath AlShaikh

    (Cybersecurity Program, College of Engineering, Al Ain University, Abu Dhabi P.O. Box 64141, United Arab Emirates)

Abstract

Quantum-secure cryptography is a dynamic field due to its crucial role in various domains. This field aligns with the ongoing efforts in data security. Post-quantum encryption (PQE) aims to counter the threats posed by future quantum computers, highlighting the need for further improvement. Based on the learning with error (LWE) system, this paper introduces a novel asymmetric encryption technique that encrypts entire messages of n bits rather than just 1 bit. This technique offers several advantages including an additive homomorphic cryptosystem. The robustness of the proposed lightweight public key encryption method, which is based on a new version of LWE, ensures that private keys remain secure and that original data cannot be recovered by an attacker from the ciphertext. By improving encryption and decryption execution time—which achieve speeds of 0.0427 ms and 0.0320 ms, respectively—and decreasing ciphertext size to 708 bits for 128-bit security, the obtained results are very promising.

Suggested Citation

  • Mostefa Kara & Konstantinos Karampidis & Giorgos Papadourakis & Mohammad Hammoudeh & Muath AlShaikh, 2024. "An Enhanced Learning with Error-Based Cryptosystem: A Lightweight Quantum-Secure Cryptography Method," J, MDPI, vol. 7(4), pages 1-15, October.
    • Handle: RePEc:gam:jjopen:v:7:y:2024:i:4:p:24-420:d:1497862
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2571-8800/7/4/24/pdf
    Download Restriction: no
    File URL: https://www.mdpi.com/2571-8800/7/4/24/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Rasit Onur Topaloglu, 2023. "Quantum Logic Locking for Security," J, MDPI, vol. 6(3), pages 1-10, July.
    2. Colin Sokol Kuka & Yihua Hu & Quan Xu & James Chandler & Mohammed Alkahtani, 2021. "A Novel True Random Number Generator in Near Field Communication as Memristive Wireless Power Transmission," J, MDPI, vol. 4(4), pages 1-20, November.
    3. Lukman Adewale Ajao & James Agajo & Emmanuel Adewale Adedokun & Loveth Karngong, 2019. "Crypto Hash Algorithm-Based Blockchain Technology for Managing Decentralized Ledger Database in Oil and Gas Industry," J, MDPI, vol. 2(3), pages 1-26, August.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Zaheer Abbas & Seunghwan Myeong, 2024. "A Comprehensive Study of Blockchain Technology and Its Role in Promoting Sustainability and Circularity across Large-Scale Industry," Sustainability, MDPI, vol. 16(10), pages 1-33, May.
    2. Pulkit Thakuriya & Sumeet Kaur & Vinaytosh Mishra, 2023. "Assessment of Blockchain Technology as Remedy to Counterfeit Drugs Problem in Pharmaceutical Supply Chain and Implementation Approach," SN Operations Research Forum, Springer, vol. 4(2), pages 1-16, June.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jjopen:v:7:y:2024:i:4:p:24-420:d:1497862. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.