Huffman Encoding with White Tailed Eagle Algorithm-based Image Steganography Technique

Since the Internet is a medium for transporting sensitive data, privacy of message transported has become major concern. Image steganography prominent tool hiding data to ensure during transfer. An efficient system essential accomplish best embedding capacity and maintain other parameters at satisfying level. encryption systems provide secure flexible image conversion storage in transmission system. Many existing methods can be attacked by various techniques, or do not support many formats embedding. To resolve these shortcomings, this study presents Huffman Encoding with White Tailed Eagle Algorithm-based Steganography (HEWTEA-IS) technique, aiming achieve secrecy no compromise quality. The HEWTEA-IS method uses Discrete Wavelet Transform (DWT) decomposition images into different subbands, encoding determine bits on decomposed blocks offer an additional layer security. Moreover, WTEA resolves problem imperceptibility identifying optimal probable position cover secret bits. proposed algorithm was simulated examined terms measures, extensive experimental analysis ensured that it superior several aspects.