Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)

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Lightweight Encryption For Iot Devices Using Fog Computing

Authors
R. Anandkumar1, *, M. Saranya1, D. Shree Harini1, P. Nithya1
1Sri Manakula Vinayagar Engineering College, Puducherry, India, 605 107
*Corresponding author. Email: anandkrishnan121@gmail.com
Corresponding Author
R. Anandkumar
Available Online 31 March 2026.
DOI
10.2991/978-94-6239-616-6_93How to use a DOI?
Keywords
IoT; Fog Computing; Precision Management; Ascon; Lightweight Cryptography; Flask Microservices; Secure Data Transmission; Authenticated Encryption
Abstract

The rapid growth of IoT in precision management, particularly in agriculture and environmental monitoring, demands secure, efficient data processing at the fog layer. Ensuring confidentiality, integrity, and authenticity in resource-limited environments is challenging. This work proposes a lightweight, high-security encryption method for Fog-IoPM microservices using the NIST-recommended Ascon algorithm. Integrated into a Flask-based microservice architecture, Ascon enables secure encryption of sensor data at the fog layer before storage, processing, or cloud transmission. Unlike resource-heavy AES, Ascon delivers optimized performance with low energy consumption and strong resistance to side-channel and differential attacks. Its authenticated encryption ensures tamper-resistant payloads and improved system reliability. The framework supports scalability for large-scale IoT networks while maintaining low overhead. By combining strong security with lightweight execution, it enhances performance and protection in modern IoT-based precision management.

Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
Series
Advances in Intelligent Systems Research
Publication Date
31 March 2026
ISBN
978-94-6239-616-6
ISSN
1951-6851
DOI
10.2991/978-94-6239-616-6_93How to use a DOI?
Copyright
© 2026 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - R. Anandkumar
AU  - M. Saranya
AU  - D. Shree Harini
AU  - P. Nithya
PY  - 2026
DA  - 2026/03/31
TI  - Lightweight Encryption For Iot Devices Using Fog Computing
BT  - Proceedings of the International Conference on Artificial Intelligence and Secure Data Analytics (ICAISDA 2025)
PB  - Atlantis Press
SP  - 1273
EP  - 1284
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6239-616-6_93
DO  - 10.2991/978-94-6239-616-6_93
ID  - Anandkumar2026
ER  -