Steganography Using Improved Diffie Hellman Algorithm and Elliptic Curve Cryptography

Steganography is a crucial technology for secure communication since it embeds secret messages within digital carriers to ensure data confidentiality. This paper proposes a novel steganographic framework that integrates the Improved Diffie-Hellman Algorithm (IDHA) with Elliptic Curve Cryptography (ECC) to increase the security and efficacy of data sharing. During the preparation phase, Data Encoding is used to convert secret information into a suitable binary format for embedding, ensuring compatibility and resilience against attacks. By lowering dimensionality and determining the best embedding locations in the carrier medium, Principal Component Analysis (PCA) is utilised for feature selection in order to avoid redundancy and maintain significant features. Last but not least, the classification stage effectively distinguishes between steganographic and non-steganographic content using the k-Nearest Neighbours (k-NN) technique to offer robust detection capabilities. Experimental results demonstrate how well the proposed technology protects concealed data while maintaining carrier integrity and steganalysis resistance. This approach offers a practical and secure solution to current secure communication issues.