caa a22 4500 60615888X CHVBK 20210128100622.0 cr unu---uuuuu 210128e20150101xx s 000 0 eng 10.1007/s00521-014-1702-1 doi (NATIONALLICENCE)springer-10.1007/s00521-014-1702-1 Artificial neural network for steganography [Elektronische Daten] [Sabah Husien, Haitham Badi] The digital information revolution has brought about changes in our society and our lives. The many advantages of digital information have also generated new challenges and new opportunities for innovation. The strength of the information hiding science is due to the nonexistence of standard algorithms to be used in hiding secret message. Also, there is randomness in hiding method such as combining several media (covers) with different methods to pass secret message. Information hiding represents a class of process used to embed data into various forms of media such as image, audio, or text. The proposed text in image cryptography and steganography system (TICSS) is an approach used to embed text into gray image (BMP). TICSS is easily applied by any end user. The Natural Computing Applications Forum, 2014 Human-computer interaction nationallicence Artificial neural network nationallicence System identification nationallicence Neuro-identifier nationallicence Cryptanalysis nationallicence Husien Sabah Al Yarmouk University College, Baghdad, Iraq aut Badi Haitham University of Malaya, Kuala Lumpur, Malaysia aut Neural Computing and Applications Springer London 26/1(2015-01-01), 111-116 0941-0643 26:1<111 2015 26 521 https://doi.org/10.1007/s00521-014-1702-1 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s00521-014-1702-1 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Husien Sabah Al Yarmouk University College, Baghdad, Iraq aut NATIONALLICENCE 700 1- Badi Haitham University of Malaya, Kuala Lumpur, Malaysia aut NATIONALLICENCE 773 0- Neural Computing and Applications Springer London 26/1(2015-01-01), 111-116 0941-0643 26:1<111 2015 26 521