Enhanced Symmetric Cryptography Technique (ESCTGPU) for Secure Communication between the IoT Gateway and the public Cloud Environment
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.11.12Keywords:
Internet of Things, Cloud Security, Lightweight Cryptography, Data Encryption, Symmetric Key EncryptionDimensions Badge
Issue
Section
License
Copyright (c) 2025 The Scientific Temper

This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
The rapid expansion of the Internet of Things (IoT) has amplified the demand for secure and efficient communication with cloud platforms, where sensitive data is collected, processed, and stored. Conventional encryption standards such as DES and blowfish, though effective, are not ideally suited for resource-constrained IoT environments due to their computational overhead. To address this challenge, this paper proposes the Enhanced Symmetric Cryptography Technique to secure Gateway to Public Cloud (ESCTGPU), a lightweight yet robust block cipher specifically designed for IoT–cloud integration. ESCTGPU employs an 8-round structure with dual subkey mixing, adaptive bit rotations, and layered permutations, ensuring strong confusion and diffusion while minimizing execution time. Experimental evaluation using real IoT sensor payloads demonstrates that ESCTGPU achieves up to 40% faster encryption and decryption than DES and outperforms Blowfish in terms of efficiency, while attaining a measured 94% security strength, compared with 78% for DES and 84% for Blowfish. These results confirm that ESCTGPU offers a practical balance between speed and resilience, making it a suitable candidate for securing IoT–cloud communication where both performance and confidentiality are critical.Abstract
How to Cite
Downloads
Similar Articles
- Yasodha V, V. Sinthu Janita, AI-driven IoT routing: A hybrid deep reinforcement learning and shrike optimization framework for energy-efficient communication , The Scientific Temper: Vol. 16 No. 08 (2025): The Scientific Temper
- P. Vivekananth, Navneet Sharma, Cyberbullying Detection Using Continuous Based Bag of Words with Machine Learning by Text Classification , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Partha Majumdar, Empowering skill development through generative AI bridging gaps for a sustainable future , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- A. Rukmani, C. Jayanthi, Trust and security in wireless sensor networks: A literature review of approaches for malicious node detection , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Lakshminarayani A, A Shaik Abdul Khadir, A blockchain-integrated smart healthcare framework utilizing dynamic hunting leadership algorithm with deep learning-based disease detection and classification model , The Scientific Temper: Vol. 15 No. 04 (2024): The Scientific Temper
- A. Jabeen, A. R. M. Shanavas, Hazard regressive multipoint elitist spiral search optimization for resource efficient task scheduling in cloud computing , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- S. Vanaja, Hari Ganesh S, Application of data mining and machine learning approaches in the prediction of heart disease – A literature survey , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- Vimala S, G. Arockia Sahaya Sheela, Label-Aware Imputation with Cluster Refinement for Smartphone Usage Analytics in Educational Institutions , The Scientific Temper: Vol. 16 No. 12 (2025): The Scientific Temper
- Nilesh M. Patil, P M. Krishna, G. Deena, C Harini, R.K. Gnanamurthy, Romala V. Srinivas, Exploring real-time patient monitoring and data analytics with IoT-based smart healthcare monitoring , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- G. Vijayalakshmi, M. V. Srinath, Student’s Academic Performance Improvement Using Adaptive Ensemble Learning Method , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
<< < 7 8 9 10 11 12 13 14 15 16 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Olivia C. Gold, Jayasimman Lawrence, Enhanced LSTM for heart disease prediction in IoT-enabled smart healthcare systems , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Priya Nandhagopal, Jayasimman Lawrence, ECE cipher: Enhanced convergent encryption for securing and deduplicating public cloud data , The Scientific Temper: Vol. 16 No. 02 (2025): The Scientific Temper

