Matrix Embedding Using Random Linear Codes and Its Steganalysis

Autor:	Noopa Jagadeesh, P. Harmya, S. S. Anju, Aishwarya Nandakumar
Rok vydání:	2011
Předmět:	Steganalysis Steganography Computer science Matrix embedding Embedding ComputerSystemsOrganization_SPECIAL-PURPOSEANDAPPLICATION-BASEDSYSTEMS Algorithm
Zdroj:	Advances in Computing and Communications ISBN: 9783642227196 ACC (3)
DOI:	10.1007/978-3-642-22720-2_27
Popis:	To improve embedding efficiency, one of the most important steganographic scheme isMatrix embedding, otherwise known as syndrome coding. The schemes that employ matrix embedding is generally more secure because it brings about lower embedding changes.. In this paper matrix embedding scheme based on random linear codes of small dimension is considered. It is suitable for large payloads which makes it appropriate for practical applications. This scheme is efficient for embedding messages close to the embedding capacity. This scheme not only provides high embedding capacity but also enhances the quality of the stego image. The method is proved to withstand attacks like Chi-square and RS steganalysis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::4b042c0cdc78179fbbe823e13dbc3b2c https://doi.org/10.1007/978-3-642-22720-2_27 Zobrazit plný text záznamu