Next-generation financial encryption using image analyzer algorithms: A design and implementation approach

Tobi Olatunde Sonubi 1, *, Temidayo Osinaike 2, Adeola Raji 3 and Ayinoluwa Feranmi Kolawole 4

1 MBA Finance and Strategy Program, Olin Business School, Washington University in St. Louis, MO, USA.
2 College of Information Assurance, St. Cloud State University, Minnesota, USA.
3 Pompea College of Business, University of New Haven, Connecticut, USA.
4 Business Analytics Program (MSBA), University of Louisville, Kentucky, USA.
 
Research Article
World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 718–727.
Article DOI: 10.30574/wjaets.2024.13.1.0479
Publication history: 
Received on 27 August 2024; revised on 05 October 2024; accepted on 07 October 2024
 
Abstract: 
The Image Analyzer Encryption Algorithm offers a novel approach to securing financial data by leveraging image-based encryption techniques alongside traditional cryptographic methods, such as AES. This research explores the design and implementation of the algorithm, which converts structured financial data into encrypted images using chaotic encryption and fractal analysis. The algorithm's performance was tested in a simulated financial environment, comparing it against traditional methods like RSA and AES. Results showed that the Image Analyzer demonstrated strong resistance to brute-force and quantum-based attacks, achieving a 90% success rate against quantum algorithms such as Grover’s and Shor’s. Although the algorithm introduced a modest increase in computational overhead, it remained efficient enough for real-time financial applications, offering significant scalability and flexibility across various data types. In addition, the algorithm’s parallel processing capabilities further optimized its performance, reducing bottlenecks during key generation and data transformation stages. This encryption model represents a next-generation solution for financial security, addressing vulnerabilities posed by the advent of quantum computing and increasingly sophisticated cryptanalytic techniques. Its ability to provide robust, quantum-resistant encryption makes it a critical tool for safeguarding financial transactions in the digital age.
 
Keywords: 
Image encryption; financial security; Quantum resistance; AES; Chaotic encryption
 
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