Designing a Network-Based Data Security System Using Crypto-Steganography: An Institutional Based Research (IBR)
Abstract
Because security issues have gotten worse due to the quick expansion of network-based applications, especially with regard to the integrity and confidentiality of sensitive data sent over unprotected communication channels. Current security strategies that use steganography or cryptography alone are still susceptible to traffic monitoring, steganalysis, and cryptanalysis assaults. In order to improve secure data transmission in network contexts, this study suggests a hybrid data security framework that combines the Least Significant Bit (LSB) picture steganography approach with the Rivest–ShamirAdleman (RSA) public-key cryptography algorithm. In order to provide strong confidentiality, the suggested model first encrypts plaintext data using RSA key-pair generation and asymmetric encryption. The resulting ciphertext is then embedded into digital cover images using LSB-based steganographic embedding without causing noticeable distortion or substantial payload overhead. The Python programming Language were used in the PyCharm Integrated Development Environment to design and implement the system. The combined crypto-steganographic strategy improves resistance to brute-force assaults, steganalysis, and illegal access while preserving picture quality and transmission efficiency, according to experimental evaluation. The results show that the suggested framework outperforms stand-alone steganographic or cryptographic approaches in terms of security performance. A reliable and scalable data security system appropriate for safeguarding private data in contemporary network-based applications is contributed by this study.
Fields of Study & Subjects
Advanced Steganography and Watermarking Techniques
Internet Traffic Analysis and Secure E-voting
Chaos-based Image/Signal Encryption
Publication details
- Journal / source
- International Journal of Innovative Science and Research Technology (IJISRT)
- Publisher
- International Journal of Innovative Science and Research Technology
- Pages
- 75–75
- Publication date
- 9 February 2026