{"_buckets": {"deposit": "ab727673-65f6-4014-96d2-7bd355736ddf"}, "_deposit": {"id": "4474", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4474"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4474", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Digital Video Steganalysis Based on Statistical Features", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "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."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "steganalysis"}, {"interim": "histogram characteristic function"}, {"interim": "co-occurrence matrices"}, {"interim": "SVM classifier"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-11-14"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "10047.pdf", "filesize": [{"value": "640 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 640000.0, "url": {"url": "https://meral.edu.mm/record/4474/files/10047.pdf"}, "version_id": "7e851543-bb4c-4d98-a236-7c5e64060c5c"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Tenth International Conference On Computer Applications (ICCA 2012)", "subitem_pages": "", "subitem_volume": ""}]}, "item_1583103147082": {"attribute_name": "Conference papers", "attribute_value_mlt": [{"subitem_acronym": "", "subitem_c_date": "", "subitem_conference_title": "", "subitem_part": "", "subitem_place": "", "subitem_session": "", "subitem_website": ""}]}, "item_1583103211336": {"attribute_name": "Books/reports/chapters", "attribute_value_mlt": [{"subitem_book_title": "", "subitem_isbn": "", "subitem_pages": "", "subitem_place": "", "subitem_publisher": ""}]}, "item_1583103233624": {"attribute_name": "Thesis/dissertations", "attribute_value_mlt": [{"subitem_awarding_university": "", "subitem_supervisor(s)": [{"subitem_supervisor": ""}]}]}, "item_1583105942107": {"attribute_name": "Authors", "attribute_value_mlt": [{"subitem_authors": [{"subitem_authors_fullname": "Htet, Thu Thu"}]}]}, "item_1583108359239": {"attribute_name": "Upload type", "attribute_value_mlt": [{"interim": "Publication"}]}, "item_1583108428133": {"attribute_name": "Publication type", "attribute_value_mlt": [{"interim": "Article"}]}, "item_1583159729339": {"attribute_name": "Publication date", "attribute_value": "2012-02-28"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2403"}, "item_title": "Digital Video Steganalysis Based on Statistical Features", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004474", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-11-14"}, "publish_date": "2019-11-14", "publish_status": "0", "recid": "4474", "relation": {}, "relation_version_is_last": true, "title": ["Digital Video Steganalysis Based on Statistical Features"], "weko_shared_id": -1}