Hiding Data Using Efficient Combination of ECC And Compression Steganography Techniques

Ensuring safe and efficient data hiding is crucial in cybersecurity, as traditional methods like RSA and Huffman Coding face scalability and efficiency challenges. This paper proposes a steganographic system that integrates advanced cryptographic and compression techniques to enhance security and performance. Elliptic Curve Cryptography (ECC) is used for encryption, providing strong security with smaller key sizes, reducing computational overhead compared to RSA. A hybrid compression approach combining Lempel-Ziv-Welch (LZW) and Huffman Coding improves storage and transmission efficiency. Implemented in Python, the system utilizes the Pillow library to embed encrypted and compressed data into images, while Python’s Cryptography Libraries handle ECC encryption. Experimental results show minimal image distortion, high retrieval accuracy, and computational efficiency. The technique proves effective for covert data transmission, digital watermarking, and secure data storage. By integrating modern encryption, compression, and steganography, it ensures robust security while maintaining efficiency, making it a significant advancement in cybersecurity. Key Words: Elliptic Curve Cryptography (ECC), Lempel-Ziv-Welch (LZW) compression, Huffman Coding Compression, LSD Steganography.