{"_buckets": {"deposit": "42fa5cce-7741-4778-ad10-fca295037602"}, "_deposit": {"id": "3273", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "3273"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/3273", "sets": ["user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Hybrid Intrusion Detection SystemBased on Bayesian Network", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Now day’s security is the primary concerned inthe field of computer science.With quickly growingunauthorized activities in network Intrusion Detectionas a part of defense is extremely necessary becausetraditional firewall techniques cannot providecomplete protection against intrusion.The primarygoal of an Intrusion Detection System (IDS) is toidentify intruders and differentiate anomalousnetwork activity from normal one. Intrusion detectionhas become a significant component of networksecurity administration due to the enormous numberof attacks persistently threaten our computer networksand systems.This paper illustrates the benefit ofhybrid intrusion detection system that can detect bothknown and unknown attacks. The system includes twophases: (1) If the attack is known attack then signatureintrusion detection handles and performs appropriateaction. (2)If the attack is unknown attack thenanomaly intrusion detection use frequent patternmatching process and generate the signature that canhandle the next attack. Our proposed system may bemore accurate and better performance than traditionalintrusion detection system."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Detection System(IDS)"}, {"interim": "Bayesian Network"}, {"interim": "Naïve Bayes"}, {"interim": "Frequent pattern mining"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value_mlt": [{"accessrole": "open_access", "date": [{"dateType": "Available", "dateValue": "2019-07-03"}], "displaytype": "preview", "download_preview_message": "", "file_order": 0, "filename": "12028.pdf", "filesize": [{"value": "89 Kb"}], "format": "application/pdf", "future_date_message": "", "is_thumbnail": false, "licensetype": "license_free", "mimetype": "application/pdf", "size": 89000.0, "url": {"url": "https://meral.edu.mm/record/3273/files/12028.pdf"}, "version_id": "c5f9378c-3730-44f9-9ffa-b9a6c6168310"}]}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Twelfth International Conference On Computer Applications (ICCA 2014)", "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": "Myint, Khin Khattar"}, {"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": "2014-02-17"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/104"}, "item_title": "Hybrid Intrusion Detection SystemBased on Bayesian Network", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000003273", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-03"}, "publish_date": "2019-07-03", "publish_status": "0", "recid": "3273", "relation": {}, "relation_version_is_last": true, "title": ["Hybrid Intrusion Detection SystemBased on Bayesian Network"], "weko_shared_id": -1}