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
- Bhuvaneshwarri Ilango, A machine translation model for abstractive text summarization based on natural language processing , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Mohit Kalra, Arpan Nautiyal, Krishnapal Singh, Health Assessment of Buksa Tribe: Exploring CSR Models for Indigenous Community Empowerment in Ramnagar Block, Nainital District , The Scientific Temper: Vol. 16 No. 10 (2025): The Scientific Temper
- Karthik Baburaj, Navaneeth kattil Madathil, Roshini Barkur, NLP Based Voice Assistant Usage on Consumer Shopping , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
- Gomathi Ramalingam, Logeswari S, M. D. Kumar, Manjula Prabakaran, Neerav Nishant, Syed A. Ahmed, Machine learning classifiers to predict the quality of semantic web queries , The Scientific Temper: Vol. 15 No. 01 (2024): The Scientific Temper
- Tewoderos Legesse, Bekelech Sharew, Evaluation of white seeded sesame (Sesamum indicium L.) genotypes on growth and yield performance in Menit Goldya Woreda of West Omo Zone, SWE , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- Priya Rajwade, Alka Bansal, A study of the perceptions of teachers towards a holistic approach in teaching in CBSE board schools in the context of NEP 2020 at the foundational and preparatory stages , The Scientific Temper: Vol. 16 No. Spl-1 (2025): The Scientific Temper
- Bhavya Sathenapalli, Kali Charan Sabat, Unleashing entrepreneurial spirit: Driving innovation and growth in a rapidly changing world , The Scientific Temper: Vol. 16 No. 06 (2025): The Scientific Temper
- Deepesh Bhardwaj, Niyati Chaudhary, Blueprints of Green: Determining Key Determinants of Sustainable Real Estate Projects in Delhi NCR , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Prerna Khanna, Satinder Kumar, Exploring the expansion trajectory of the Indian automobile sector , The Scientific Temper: Vol. 15 No. 03 (2024): The Scientific Temper
- N. Yogalakshmi, Awareness on environmental issues and sustainable practices among college students - with special reference to Chennai city region , The Scientific Temper: Vol. 16 No. Spl-2 (2025): The Scientific Temper
<< < 15 16 17 18 19 20 21 22 23 24 > >>
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

