2026-04-30T05:23:31Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/4474 2021-12-13T04:05:19Z 1582963302567:1597824273898 user-ucsy

Digital Video Steganalysis Based on Statistical Features Htet, Thu Thu Steganalysis is the art and science ofdetecting a secret communication. Hiding amessage will most likely leave detectable tracesin the cover medium. The information hidingprocess changes the statistical properties of thecover, which is a steganalyst attempts to detect.The process of attempting to detect statisticaltraces is called statistical steganalysis. Thispaper presents an improved blind steganalysistechnique to detect the presence of hiddenmessages. In order to identify and classify thetwo types of statistic texture feature are used. Thefirst type features derive from the average cooccurrence matrices. The second type features isthe grey level histogram. Support VectorMachine is considered a state-of-the-artclassification algorithm. SVM classifier isutilized as the classifier. Experimental resultsshow that this approach is very successful indetecting the information-hiding in MSU StegoVideo steganograms. 2012-02-28 http://hdl.handle.net/20.500.12678/0000004474 https://meral.edu.mm/records/4474