{"_buckets": {"deposit": "63fb2802-079a-4c09-aef1-489927574020"}, "_deposit": {"id": "4427", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4427"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4427", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Deep Neural Network Based Model for Phishing-Sites Detection", "subitem_1551255648112": "en_US"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "The evolution of web has positivelytransformed the paradigm of communication,trading, and collaboration for the benefit ofhumanity. However, these benefits of the Web areshadowed by cyber-criminals who use the Web as amedium to perform malicious activities motivated byillegitimate benefits. Phishing is a growing threat toInternet users and causes billions of dollars indamage every year. The replicas of the legitimatesites are created and users are directed to that website by luring some offers to it. In this paper weintroduce a model of our ongoing research PhishingWebsite Detection for Advanced Persistent Threats.In this model we used deep neural network techniqueon some features of phishing sites."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Phishing"}, {"interim": "URL Feature"}, {"interim": "HTML Feature"}, {"interim": "Model"}, {"interim": "Social Engineering"}, {"interim": "Security"}, {"interim": "Anti Phishing Technique"}, {"interim": "Data Mining"}, {"interim": "ANN"}, {"interim": "DNN and Phishing Attack"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-10-25"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "Deep Neural Network Based Model for Phishing-Sites Detection.pdf", "filesize": [{"value": "719 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 719000.0, "url": {"url": "https://meral.edu.mm/record/4427/files/Deep Neural Network Based Model for Phishing-Sites Detection.pdf"}, "version_id": "f5d66196-7353-4dab-bdcd-cf297d354704"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fourteenth International Conference On Computer Applications (ICCA 2016)", "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": "Zaw, San Kyaw"}, {"subitem_authors_fullname": "Oo, Khine Khine"}]}]}, "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": "2016-02-25"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/2360"}, "item_title": "Deep Neural Network Based Model for Phishing-Sites Detection", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004427", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-10-25"}, "publish_date": "2019-10-25", "publish_status": "0", "recid": "4427", "relation": {}, "relation_version_is_last": true, "title": ["Deep Neural Network Based Model for Phishing-Sites Detection"], "weko_shared_id": -1}