Development of Data Securing Algorithms using Steganography and Cryptographic Techniques

Abstract

In today s digital era, the importance of network security has become increasingly prominent worldwide. The connections facilitated through systems like computers and mobile phones significantly impact data communication and its security. Numerous studies discuss secure communication through data hiding and encryption techniques. Various algorithms have been developed for both encryption and decryption processes. Researchers have achieved a reasonable level of reliability in secure data communication through networks by using cryptography, steganography, and watermarking techniques. However, there is still potential for significant advancements in the core aspects of secure communication confidentiality, integrity, and availability to ensure robustness against various attacks. Many tools are available to bridge research gaps and enhance data hiding capabilities using diverse techniques. There is still substantial room for improvement in securing digital data, including images, text, and audio. New methods aim to embed large volumes of information without perceptual distortion while remaining robust against compression, noise, and tampering attacks, thus minimizing the impact of noise to achieve effective data concealment in images and audio. This thesis thoroughly explores the development of an innovative framework combining cryptography and steganography in both spatial and frequency domains for classifying data hiding algorithms, aiming to address existing limitations. The research begins with an in depth analysis of image and audio steganography techniques. Techniques like Lifting Wavelet Transform and Least Significant Bit are utilized to increase both security and efficiency in data hiding. Chaos based systems introduce randomness and sensitivity to initial conditions, leveraging chaotic maps to make the encryption process unpredictable and resistant to attacks.