IDEAS home Printed from https://ideas.repec.org/a/epw/comput/v5y2025i1id10146.html

The Impact of Quantum Computing on Cryptographic Systems: Urgency of Quantum-Resistant Algorithms and Practical Applications in Cryptography

Author

Listed:
  • Charles Kinyua Gitonga

    (Chuka University, Kenya)

Abstract

Quantum computing presents computational powers previously thought unattainable. This brings severe threats to classical cryptographic methods, especially RSA and ECC. This paper addresses these risks through a detailed investigation of quantum-resistant algorithms, focusing on lattice- based (CRYSTALS-Kyber), hash-based (SPHINCS+), and code-based (McEliece) systems. Research questions guiding this study include: How vulnerable are traditional algorithms under quantum attack, and which quantum-resistant alternatives offer viable performance and security trade-offs? Through simulations, we analyzed key metrics like encryption speeds, key sizes, and efficiency under quantum threats. Additionally, we demonstrated vulnerabilities in RSA-2048 and ECC-256 under Shor’s algorithm, emphasizing the necessity for quantum-resistant cryptography. Our results highlighted CRYSTALS-Kyber as a balanced candidate, aligning with the NIST PQC Standardization, while Quantum Key Distribution (QKD) is reviewed for high-sensitivity contexts. Given the forecasted advancements in quantum hardware, we propose a transitional approach using hybrid cryptographic systems to ensure immediate security and ease the shift to quantum-safe protocols. This study also explores industry applications, particularly in finance, healthcare, and IoT, recommending a phased adoption strategy utilizing hybrid cryptographic systems for a secure, gradual transition.

Suggested Citation

Handle: RePEc:epw:comput:v:5:y:2025:i:1:id:10146
DOI: 10.24018/compute.2025.5.1.146
as

Download full text from publisher

File URL: https://eu-opensci.org/index.php/compute/article/view/10146
File Function: Abstract page
Download Restriction: no

File URL: https://eu-opensci.org/index.php/compute/article/download/10146/1892
File Function: Full text
Download Restriction: no

File URL: https://libkey.io/10.24018/compute.2025.5.1.146?utm_source=ideas
LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
---><---

More about this item

Keywords

;
;
;
;

Statistics

Access and download statistics

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:epw:comput:v:5:y:2025:i:1:id:10146. 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.

We have no bibliographic references for this item. You can help adding them by using 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: Support Team (email available below). General contact details of provider: https://eu-opensci.org/index.php/compute .

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.