{"_buckets": {"deposit": "f58fb1e0-1f38-4855-86ed-261d5d3f9b4b"}, "_deposit": {"id": "4825", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4825"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4825", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Feature Extraction for Effective Malware Characterization in Android Malware Detection Framework", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Today, mobile devices have become a widelyused for personal and business purposes. Because ofthe popularity of mobile application, inexpensiveways for people to communicate and shareinformation, they become the highest interestingpoint of malicious attackers. Malicious softwarewhich can destroy smart phones or steal sensitiveinformation are growing in every aspect of people’slive. Relying on currently developed approaches isnot sufficient, given that intelligent malware keepsmodifying rapidly and as a result becomes moredifficult to detect. This paper focus on the extractionof key features from Android apps using hybridanalysis method to improve Machine Learning baseddetection framework."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value": []}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifteenth International Conference on Computer Applications(ICCA 2017)", "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": "Kyaw, May Thu"}, {"subitem_authors_fullname": "Kham, Nang Saing Moon"}]}]}, "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": "2017-02-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/725"}, "item_title": "Feature Extraction for Effective Malware Characterization in Android Malware Detection Framework", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004825", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-11"}, "publish_date": "2019-07-11", "publish_status": "0", "recid": "4825", "relation": {}, "relation_version_is_last": true, "title": ["Feature Extraction for Effective Malware Characterization in Android Malware Detection Framework"], "weko_shared_id": -1}