Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors

Fagbohunmi Griffin Siji

doi:doi:10.11648/j.jeee.20261405.12

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Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors

Fagbohunmi Griffin Siji^*

Published in Journal of Electrical and Electronic Engineering (Volume 14, Issue 5)

Received: 13 June 2026 Accepted: 8 July 2026 Published: 29 October 2026

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Abstract

The rise in technical features and capabilities of consumer electronics (CSE) devices ranging from smartphones, high fidelity (Hifi) radio systems, MP radio sets and IoT-enabled smart devices, have created new possibilities about their use and applications. You tube files can now be downloaded on smartphones and played directly on high fidelity audio radio sets through Bluetooth. There have also been increase in the use of smart phones in diverse areas of life such as in academics, industries etc., where the use of online lectures and video conference meetings have increased in recent times. It is evident that these technologies offer convenience and smart connectivity, on the downside however is the security concern resulting from these communications. Classical cryptography algorithms built into these consumer electronics are prone to quantum computing attacks, and with the steady growth of quantum computing and algorithms, it is only a matter of time before the current classical cryptography algorithms become obsolete. This aim of this paper is to design a light weight Ring Learning With Layered Errors Key Encapsulation Mechanism (RLWLEKEM), a CCA secure lattice based post quantum cryptography algorithm for consumer electronics (CSE) platform. Experiments were conducted on Raspberry Pi 5, which served as a representative testbed for resource constrained CSE devices. Results were gathered using the experimental test bed to compare the performance of RLWLEKEM with some selected cryptography protocols such as code based cryptography (CBC), and classical cryptography algorithms. Performance metrics used for comparison include encryption time, execution time, communication overhead and energy consumption. Experimental results show that RLWLEKEM outperforms the other compared cryptography protocols in terms of time to complete cryptography process, storage/communication overhead and energy consumption and thus was most suitable for deployment as post quantum cryptography key encapsulation mechanism on energy constrained CSE devices.

Published in	Journal of Electrical and Electronic Engineering (Volume 14, Issue 5)
DOI	10.11648/j.jeee.20261405.12
Page(s)	223-238
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Consumer Electronics, Edge Computing, User Experience, Post-quantum Cryptography, Resource-Constrained Devices, IoT Security, Quantum-Resistant Algorithms

References

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APA Style

Siji, F. G. (2026). Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors. Journal of Electrical and Electronic Engineering, 14(5), 223-238. https://doi.org/10.11648/j.jeee.20261405.12

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Siji, F. G. Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors. J. Electr. Electron. Eng. 2026, 14(5), 223-238. doi: 10.11648/j.jeee.20261405.12

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AMA Style

Siji FG. Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors. J Electr Electron Eng. 2026;14(5):223-238. doi: 10.11648/j.jeee.20261405.12

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@article{10.11648/j.jeee.20261405.12,
  author = {Fagbohunmi Griffin Siji},
  title = {Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {14},
  number = {5},
  pages = {223-238},
  doi = {10.11648/j.jeee.20261405.12},
  url = {https://doi.org/10.11648/j.jeee.20261405.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20261405.12},
  abstract = {The rise in technical features and capabilities of consumer electronics (CSE) devices ranging from smartphones, high fidelity (Hifi) radio systems, MP radio sets and IoT-enabled smart devices, have created new possibilities about their use and applications. You tube files can now be downloaded on smartphones and played directly on high fidelity audio radio sets through Bluetooth. There have also been increase in the use of smart phones in diverse areas of life such as in academics, industries etc., where the use of online lectures and video conference meetings have increased in recent times. It is evident that these technologies offer convenience and smart connectivity, on the downside however is the security concern resulting from these communications. Classical cryptography algorithms built into these consumer electronics are prone to quantum computing attacks, and with the steady growth of quantum computing and algorithms, it is only a matter of time before the current classical cryptography algorithms become obsolete. This aim of this paper is to design a light weight Ring Learning With Layered Errors Key Encapsulation Mechanism (RLWLEKEM), a CCA secure lattice based post quantum cryptography algorithm for consumer electronics (CSE) platform. Experiments were conducted on Raspberry Pi 5, which served as a representative testbed for resource constrained CSE devices. Results were gathered using the experimental test bed to compare the performance of RLWLEKEM with some selected cryptography protocols such as code based cryptography (CBC), and classical cryptography algorithms. Performance metrics used for comparison include encryption time, execution time, communication overhead and energy consumption. Experimental results show that RLWLEKEM outperforms the other compared cryptography protocols in terms of time to complete cryptography process, storage/communication overhead and energy consumption and thus was most suitable for deployment as post quantum cryptography key encapsulation mechanism on energy constrained CSE devices.},
 year = {2026}
}

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TY  - JOUR
T1  - Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors
AU  - Fagbohunmi Griffin Siji
Y1  - 2026/10/29
PY  - 2026
N1  - https://doi.org/10.11648/j.jeee.20261405.12
DO  - 10.11648/j.jeee.20261405.12
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 223
EP  - 238
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20261405.12
AB  - The rise in technical features and capabilities of consumer electronics (CSE) devices ranging from smartphones, high fidelity (Hifi) radio systems, MP radio sets and IoT-enabled smart devices, have created new possibilities about their use and applications. You tube files can now be downloaded on smartphones and played directly on high fidelity audio radio sets through Bluetooth. There have also been increase in the use of smart phones in diverse areas of life such as in academics, industries etc., where the use of online lectures and video conference meetings have increased in recent times. It is evident that these technologies offer convenience and smart connectivity, on the downside however is the security concern resulting from these communications. Classical cryptography algorithms built into these consumer electronics are prone to quantum computing attacks, and with the steady growth of quantum computing and algorithms, it is only a matter of time before the current classical cryptography algorithms become obsolete. This aim of this paper is to design a light weight Ring Learning With Layered Errors Key Encapsulation Mechanism (RLWLEKEM), a CCA secure lattice based post quantum cryptography algorithm for consumer electronics (CSE) platform. Experiments were conducted on Raspberry Pi 5, which served as a representative testbed for resource constrained CSE devices. Results were gathered using the experimental test bed to compare the performance of RLWLEKEM with some selected cryptography protocols such as code based cryptography (CBC), and classical cryptography algorithms. Performance metrics used for comparison include encryption time, execution time, communication overhead and energy consumption. Experimental results show that RLWLEKEM outperforms the other compared cryptography protocols in terms of time to complete cryptography process, storage/communication overhead and energy consumption and thus was most suitable for deployment as post quantum cryptography key encapsulation mechanism on energy constrained CSE devices.
VL  - 14
IS  - 5
ER  -

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Fagbohunmi Griffin Siji

Computer Engineering Department, Abia State University, Uturu, Nigeria

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http://orcid.org/0009-0002-5507-9556

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Siji, F. G. (2026). Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors. Journal of Electrical and Electronic Engineering, 14(5), 223-238. https://doi.org/10.11648/j.jeee.20261405.12

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ACS Style

Siji, F. G. Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors. J. Electr. Electron. Eng. 2026, 14(5), 223-238. doi: 10.11648/j.jeee.20261405.12

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AMA Style

Siji FG. Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors. J Electr Electron Eng. 2026;14(5):223-238. doi: 10.11648/j.jeee.20261405.12

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@article{10.11648/j.jeee.20261405.12,
  author = {Fagbohunmi Griffin Siji},
  title = {Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors},
  journal = {Journal of Electrical and Electronic Engineering},
  volume = {14},
  number = {5},
  pages = {223-238},
  doi = {10.11648/j.jeee.20261405.12},
  url = {https://doi.org/10.11648/j.jeee.20261405.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.jeee.20261405.12},
  abstract = {The rise in technical features and capabilities of consumer electronics (CSE) devices ranging from smartphones, high fidelity (Hifi) radio systems, MP radio sets and IoT-enabled smart devices, have created new possibilities about their use and applications. You tube files can now be downloaded on smartphones and played directly on high fidelity audio radio sets through Bluetooth. There have also been increase in the use of smart phones in diverse areas of life such as in academics, industries etc., where the use of online lectures and video conference meetings have increased in recent times. It is evident that these technologies offer convenience and smart connectivity, on the downside however is the security concern resulting from these communications. Classical cryptography algorithms built into these consumer electronics are prone to quantum computing attacks, and with the steady growth of quantum computing and algorithms, it is only a matter of time before the current classical cryptography algorithms become obsolete. This aim of this paper is to design a light weight Ring Learning With Layered Errors Key Encapsulation Mechanism (RLWLEKEM), a CCA secure lattice based post quantum cryptography algorithm for consumer electronics (CSE) platform. Experiments were conducted on Raspberry Pi 5, which served as a representative testbed for resource constrained CSE devices. Results were gathered using the experimental test bed to compare the performance of RLWLEKEM with some selected cryptography protocols such as code based cryptography (CBC), and classical cryptography algorithms. Performance metrics used for comparison include encryption time, execution time, communication overhead and energy consumption. Experimental results show that RLWLEKEM outperforms the other compared cryptography protocols in terms of time to complete cryptography process, storage/communication overhead and energy consumption and thus was most suitable for deployment as post quantum cryptography key encapsulation mechanism on energy constrained CSE devices.},
 year = {2026}
}

Copy | Download

TY  - JOUR
T1  - Design of A Post Quantum Key Encapsulation Mechanism for Consumer Electronics Using Ring Learning with Layered Errors
AU  - Fagbohunmi Griffin Siji
Y1  - 2026/10/29
PY  - 2026
N1  - https://doi.org/10.11648/j.jeee.20261405.12
DO  - 10.11648/j.jeee.20261405.12
T2  - Journal of Electrical and Electronic Engineering
JF  - Journal of Electrical and Electronic Engineering
JO  - Journal of Electrical and Electronic Engineering
SP  - 223
EP  - 238
PB  - Science Publishing Group
SN  - 2329-1605
UR  - https://doi.org/10.11648/j.jeee.20261405.12
AB  - The rise in technical features and capabilities of consumer electronics (CSE) devices ranging from smartphones, high fidelity (Hifi) radio systems, MP radio sets and IoT-enabled smart devices, have created new possibilities about their use and applications. You tube files can now be downloaded on smartphones and played directly on high fidelity audio radio sets through Bluetooth. There have also been increase in the use of smart phones in diverse areas of life such as in academics, industries etc., where the use of online lectures and video conference meetings have increased in recent times. It is evident that these technologies offer convenience and smart connectivity, on the downside however is the security concern resulting from these communications. Classical cryptography algorithms built into these consumer electronics are prone to quantum computing attacks, and with the steady growth of quantum computing and algorithms, it is only a matter of time before the current classical cryptography algorithms become obsolete. This aim of this paper is to design a light weight Ring Learning With Layered Errors Key Encapsulation Mechanism (RLWLEKEM), a CCA secure lattice based post quantum cryptography algorithm for consumer electronics (CSE) platform. Experiments were conducted on Raspberry Pi 5, which served as a representative testbed for resource constrained CSE devices. Results were gathered using the experimental test bed to compare the performance of RLWLEKEM with some selected cryptography protocols such as code based cryptography (CBC), and classical cryptography algorithms. Performance metrics used for comparison include encryption time, execution time, communication overhead and energy consumption. Experimental results show that RLWLEKEM outperforms the other compared cryptography protocols in terms of time to complete cryptography process, storage/communication overhead and energy consumption and thus was most suitable for deployment as post quantum cryptography key encapsulation mechanism on energy constrained CSE devices.
VL  - 14
IS  - 5
ER  -

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