2026-03-11T17:03:44Z https://meral.edu.mm/oai

oai:meral.edu.mm:recid/5100 2021-12-13T03:38:35Z 1582963302567:1597824273898 user-ucsy

Steganalysis on Least Significant Bit Matching Video Naing, May Thu Sein, Myint Myint Video Steganography deals with hidingsecret data or information within a video filewithout changing the video display or audio. Thesecret information is embedded in the coverframes by splitting data. If LSB (Least SignificantBit) matching, also known as ±1 embedding, isused, the detection rates are considerablyreduced. In particular, since LSB embedding ismodeled as an additive noise process, detection isespecially poor for images that exhibit highfrequencynoise - the high-frequency noise is oftenincorrectly thought to be indicative of a hiddenmessage. To overcome this, we propose a targetedsteganalysis algorithm that exploits the fact thatafter LSB matching, the local maxima of a videoframe gray-level or color histogram decrease andthe local minima increase. Consequently, the sumof the absolute differences between local extremaand their neighbors in the intensity histogram ofstego video frames will be smaller than for covervideo frames. In this paper, we use the mp4files(less than 1 minute) which have inserted thestego message using the LSB matching. And then,this video is split into frames and each frame isanalysed if the stego exists or not. 2017-12-27 http://hdl.handle.net/20.500.12678/0000005100 https://meral.edu.mm/records/5100