Enhancing Internet Data Security: A Fusion of Cryptography, Steganography, and Machine Learning Techniques

Authors

Omar Fitian Rashid, Department of Geology, College of Science, University of Baghdad, Baghdad, IraqFollow
Mohammed Ahmed Subhi, Department of Planning, Directorate of Private University Education, Ministry of Higher Education and Scientific Research, Baghdad, Iraq; And Balad Technical Institute, Medical Technical University, Baghdad, IraqFollow
Marwa Khudhur Hussein, Department Construction and Projects, University of Baghdad, Baghdad, IraqFollow
Mohammed Najah Mahdi, ADAPT Centre, School of Computing, Dublin City University, Dublin, IrelandFollow

Abstract

Cryptography and steganography play critical roles in ensuring the security of network communications. Combining these methods holds great potential for safeguarding information transmitted over the internet. DNA Cryptography, a modern and robust technique, leverages the unique properties of DNA for secure data handling. The increasing of cyber threats has made it necessary to propose a new secure communication method to block unauthorized access to the sending information. This paper introduces an innovative system that integrates cryptography, steganography, and machine learning techniques to enhance data transfer security over the Internet. The system unfolds in six steps to encrypt and hide text. The initial step involves using the Caesar cipher to encode the original text. This is followed by the conversion of the text into DNA bases. Subsequent steps include the conversion of DNA bases to ASCII format and further transformation into binary numbers. The fifth step introduces a dynamic element by shifting binary numbers using a random key. The final step involves covertly embedding these binary numbers (ciphertext) within an image. Beyond traditional metrics, machine learning elements have been incorporated to elevate the system's performance. Performance evaluation was conducted across three standard images with varying data sizes, demonstrating the system's effectiveness. The proposed system showcased rapid cryptography times, with encryption and decryption times of 2.802 ms and 3.388 ms, respectively. The integration of machine learning techniques enriches the system's capabilities, presenting a compelling solution for secure and efficient data transfer over the Internet.

Keywords

DNA Cryptography, Decryption, Machine Learning, Steganography, Security, Encryption

Subject Area

Computer Science

Article Type

Article

First Page

1005

Last Page

1015

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

How to Cite this Article

Rashid, Omar Fitian; Subhi, Mohammed Ahmed; Hussein, Marwa Khudhur; and Mahdi, Mohammed Najah (2025) "Enhancing Internet Data Security: A Fusion of Cryptography, Steganography, and Machine Learning Techniques," Baghdad Science Journal: Vol. 22: Iss. 3, Article 26.
DOI: https://doi.org/10.21123/bsj.2024.10371