ECE cipher: Enhanced convergent encryption for securing and deduplicating public cloud data
Downloads
Published
DOI:
https://doi.org/10.58414/SCIENTIFICTEMPER.2025.16.2.10Keywords:
Cloud computing, Cloud Security, deduplication, Convergent Encryption, Data Confidentiality, Block Cipher 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.
Cloud computing offers scalable and cost-effective storage solutions, but concerns over data security, unauthorized access, and storage inefficiencies remain significant. Data deduplication is crucial in reducing storage costs by eliminating redundant copies, yet traditional encryption methods hinder deduplication by generating unique ciphertexts for identical plaintexts, leading to increased storage requirements. To address these challenges, this paper presents ECEcipher, an advanced symmetric block cipher encryption technique that integrates convergent encryption for secure deduplication while ensuring strong data security. It uses a 196-bit encryption key, generated from the plaintext data, and applies substitution and permutation operations for enhanced security. Unlike conventional encryption, ECEcipher dynamically determines encryption rounds, making it harder to break. Performance evaluation shows ECEcipher outperforms DES and Blowfish in encryption speed and efficiency, making it ideal for real-time cloud applications. Additionally, ECEcipher supports deduplication without compromising security, ensuring optimized storage utilization. Security analysis using the ABC Universal Hackman Tool confirms higher resistance to brute-force and dictionary attacks.Abstract
How to Cite
Downloads
Similar Articles
- Bayelign A. Zelalem, Ayalew A. Abebe, Evaluating supply chain management practice among micro and small manufacturing enterprise in southwest, Ethiopia , The Scientific Temper: Vol. 15 No. 02 (2024): The Scientific Temper
- M. A. Shanti, Optimizing predictive accuracy: A comparative study of feature selection strategies in the healthcare domain , The Scientific Temper: Vol. 15 No. spl-1 (2024): The Scientific Temper
- S. Jerinrechal, I. Antonitte Vinoline, Sustainable Inventory Model for Temperature-Dependent Deteriorating Products under Condition Monitoring , The Scientific Temper: Vol. 17 No. 01 (2026): The Scientific Temper
- Rajesh Kumar Singh, Genetic Variability in Aromatic Rice , The Scientific Temper: Vol. 13 No. 02 (2022): The Scientific Temper
- Mahima Srivastava, Chemical facets of environment-friendly corrosion impediment of low-carbon steel in aqueous solutions of inorganic mineral acid , The Scientific Temper: Vol. 14 No. 02 (2023): The Scientific Temper
- Temesgen Asfaw, Customer churn prediction using machine-learning techniques in the case of commercial bank of Ethiopia , The Scientific Temper: Vol. 14 No. 03 (2023): The Scientific Temper
- Kunal Lanjekar, Prashant Kalshetti, Joe C. Lopez, Role of social media in lead generation , The Scientific Temper: Vol. 14 No. 04 (2023): The Scientific Temper
- Krishna P. Kalyanathaya, Krishna Prasad K, A novel method for developing explainable machine learning framework using feature neutralization technique , 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
- Prithi M., Sudhakar S., Effect of autoregulatory progressive resistance exercise on hip extensor and knee flexor muscles on power, balance, and Ollie performance among skateboarders , The Scientific Temper: Vol. 16 No. 07 (2025): The Scientific Temper
<< < 26 27 28 29 30 31 32 33 34 35 > >>
You may also start an advanced similarity search for this article.
Most read articles by the same author(s)
- Priscilla I, Jayasimman Lawrence, Enhanced Symmetric Cryptography Technique (ESCTGPU) for Secure Communication between the IoT Gateway and the public Cloud Environment , The Scientific Temper: Vol. 16 No. 11 (2025): The Scientific Temper
- 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

