University of Kerbala Discussing an M.A Thesis on Coverless Information Hiding Using Machine Learning Techniques

College of Computer Science and Information Technology / University of Kerbala has discussed the M.A thesis which is entitled Coverless Information Hiding Using Machine Learning Techniques
The study, submitted by Saba Hamid Rasheed, aims at improving techniques of hiding textual information without a cover in terms of capacity, success rate, extraction accuracy, security analysis, availability, and algorithm validity.
The study suggests two new methods for hiding textual information without a cover, the first is generation method based on statistical model of Arabic language using first-order Markov chains, while the second method is search method based on features found in Arabic language.
The study recommends using other features of Arabic language in addition to use data compression methods to improve performance of hiding and retrieval process.