Abstract
Steganography is the art to conceal any type of secret data into digital media. Its main aim is to maintain data security and authentication. Existing data embedding approaches does not provide information security, authentication and its robustness of secret data. To avoids these limitations this paper uses the Forensic Exploiting Modification Direction (FEMD) algorithm for audio video steganography to increase data security, authentication and its robustness. It uses 3m2 + 3m + 3 ary notation to embed three pixels at a time for enhancing embedding capacity and security of secret data. The different types of image processing attacks have been verified on stego video which produces the very good recovery of original and secret data without any distortion. The observed and verified software results confirm that the implemented security model provides better authentication, imperceptibility, robustness, CC (Concealed Capacity), and CR (Concealed Rate) as compared to any existing EMD methods.
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Moon, S.K. (2022). Application of Forensic Audio-Video Steganography Technique to Improve Security, Robustness, and Authentication of Secret Data. In: Chaubey, N., Thampi, S.M., Jhanjhi, N.Z. (eds) Computing Science, Communication and Security. COMS2 2022. Communications in Computer and Information Science, vol 1604. Springer, Cham. https://doi.org/10.1007/978-3-031-10551-7_2
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