A Quantum-Resistant Secure Communication and Key Lifecycle Framework

Authors

  • Lai Yong Jun, Lim Hon Aik, Dylan Lee Kar Chen School of Computer Science, Taylor’s University, Subang Jaya 47500, Selangor Malaysia
  • Kong Jun Fan, Wang Tiexin, Huang Hoong Zheng School of Computer Science, Taylor’s University, Subang Jaya 47500, Selangor Malaysia
  • Melvin Jee Yue Min, Siva Raja Sindiramutty School of Computer Science, Taylor’s University, Subang Jaya 47500, Selangor Malaysia

DOI:

https://doi.org/10.54938/ijemdcsai.2026.04.2.652

Keywords:

post quantum cryptography, store now decrypt later, lattice-based cryptography, CRYSTALS-Kyber, key manager, secure system

Abstract

Quantum computing poses a threat to modern encryption algorithms such as Rivest-Shamir-Adleman (RSA) and Elliptic Curve Cryptography (ECC) with the Shor’s algorithm, cutting cracking time from millions of years to just days. Attackers commonly use an attack known as “Store Now, Decrypt Later”. This form of attack banks on the future of quantum computing. Many post-quantum algorithms have been created to counteract the imminent attack should data leak. CRYSTALS-Kyber is one of the most secure post quantum algorithms that has been approved by the NIST. Using the CRYSTALS-Kyber as a base for a cryptographic scheme, a security framework can be developed with encryption and sessions in mind. Keeping virtual sessions as limited as possible reduces the number of openings an attacker may have to attempt to steal data. Despite the quantum threat, it is likely that a robust system is designed to prevent an attack from the present and a future threat. The system proposed will integrate session key managers along with strong encryption to ensure attackers cannot easily store the data now, nor will the data that they steal be easily cracked.

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Published

2026-07-12

How to Cite

Lai Yong Jun, Lim Hon Aik, Dylan Lee Kar Chen, Kong Jun Fan, Wang Tiexin, Huang Hoong Zheng, & Melvin Jee Yue Min, Siva Raja Sindiramutty. (2026). A Quantum-Resistant Secure Communication and Key Lifecycle Framework. International Journal of Emerging Multidisciplinaries: Computer Science & Artificial Intelligence, 4(2). https://doi.org/10.54938/ijemdcsai.2026.04.2.652

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Research Article

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