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Ensuring confidentiality and privacy of cloud data using a non-deterministic cryptographic scheme.
John Kwao Dawson1, Frimpong Twum2, James Benjamin Hayfron Acquah2
1Sunyani Technical University and Student at Kwame Nkrumah University of Science and Technology, Sunyani, Ghana.
Plos One
|February 9, 2023
Summary
This study introduces the Non-Deterministic Cryptographic Scheme (NCS), a novel symmetric algorithm offering enhanced cloud data security with minimal execution time. NCS prioritizes data confidentiality and privacy, outperforming existing methods like AES, DES, and RSA.
Area of Science:
- Computer Science
- Cybersecurity
- Cryptography
Background:
- The exponential growth of data from e-commerce and social networks presents significant data security challenges.
- Ensuring data confidentiality and privacy in cloud environments remains a critical concern.
- Existing cryptographic schemes often suffer from high execution times, hindering efficient data protection.
Purpose of the Study:
- To propose a novel security scheme for cloud data with significantly reduced execution time.
- To introduce the Non-Deterministic Cryptographic Scheme (NCS), a symmetric algorithm designed for efficiency and security.
- To validate the NCS algorithm's performance against established cryptographic standards.
Main Methods:
- Development of the Non-Deterministic Cryptographic Scheme (NCS), a symmetric algorithm utilizing Good Prime Numbers, Linear Congruential Generator (LGC), Sliding Window Algorithm (SWA), and XOR gates.
- Implementation of NCS in C# and performance testing through thirty execution time trials.
- Comparative analysis of NCS against AES, DES, and RSA algorithms using varying key sizes (128kb, 256kb, 512kb) and a Kaggle dataset.
Main Results:
- The proposed NCS algorithm demonstrated lower execution times compared to AES, DES, and RSA.
- NCS exhibited non-linear time complexity, with execution times of 38ms, 711ms, and 378ms for data sizes of 128kb, 256kb, and 512kb, respectively.
- Experimental results indicated that data size does not solely determine execution time for NCS; key size is a more significant factor.
Conclusions:
- The NCS algorithm offers a promising solution for secure and efficient cloud data protection.
- NCS achieves high data confidentiality and privacy with reduced execution times, validating its non-deterministic nature.
- The study challenges the conventional understanding of cryptographic execution time, highlighting the critical role of key size over data size for NCS.
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