{"created":"2020-08-30T13:55:59.294612+00:00","id":3113,"links":{},"metadata":{"_buckets":{"deposit":"dbb7a1f5-b026-49ef-b5b8-9499b3d9def8"},"_deposit":{"id":"3113","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3113"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3113","sets":["1582963413512:1596119372420"]},"communities":["ytu"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Intrusion Detection System Based on Frequent Pattern Mining","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"

 Due  to  the  dramatically  increment  of  internet
\nusage,  users  are  facing  various  attacks  day  by  day.
\nConsequently, the research area for intrusion detection must
\nbe  fresh  with  new  challenges.  Intrusion  detection  system
\nincludes identifying a set of malicious actions that compromise
\nthe  integrity,  confidentiality,  and  availability  of  information
\nresources.  The  major  contribution  is  to  apply  data  mining
\napproach for network intrusion detection system. Among the
\nseveral features of data  mining, association rules  mining,FP-
\ngrowth algorithm, is used to find out the frequent itemsets of
\nincoming packets database. Based on these itemsets, anomaly
\ndetection  is  added.  The  system  will  predict  whether  the
\nincoming data packet is normal or attack. The performance of
\nproposed system is tested by using KDD-99 datasets.

"}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"intrusion detection"},{"interim":"data mining"},{"interim":"anomaly"},{"interim":"algorithm"},{"interim":"KDD-99 datasets"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-04"}],"displaytype":"preview","filename":"Intrusion Detection System Baed on Frequent Pattern Mining.pdf","filesize":[{"value":"386 Kb"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3113/files/Intrusion Detection System Baed on Frequent Pattern Mining.pdf"},"version_id":"a0aaf596-503a-46b7-9bb4-37ee9cce7064"}]},"item_1583103131163":{"attribute_name":"Journal articles","attribute_value_mlt":[{"subitem_issue":"","subitem_journal_title":"","subitem_pages":"","subitem_volume":""}]},"item_1583103147082":{"attribute_name":"Conference papers","attribute_value_mlt":[{"subitem_acronym":"ICSE","subitem_c_date":"29-30 December, 2014","subitem_conference_title":"International Conference on Science and Engineering","subitem_part":"","subitem_place":"Myanmar","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":"Myo Min Than"},{"subitem_authors_fullname":"Nyein Nyein Oo"},{"subitem_authors_fullname":"Myo Min Than"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Conference paper"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2014-12-29"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"10.5281/zenodo.3268384"},"item_title":"Intrusion Detection System Based on Frequent Pattern Mining","item_type_id":"21","owner":"1","path":["1596119372420"],"publish_date":"2019-07-04","publish_status":"0","recid":"3113","relation_version_is_last":true,"title":["Intrusion Detection System Based on Frequent Pattern Mining"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T05:46:30.296456+00:00"}