{"created":"2020-08-30T13:56:06.474332+00:00","id":3114,"links":{},"metadata":{"_buckets":{"deposit":"d0ad1fa5-aaed-4474-b23b-9c3d061d5efd"},"_deposit":{"id":"3114","owners":[],"pid":{"revision_id":0,"type":"recid","value":"3114"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/3114","sets":["1582963413512:1596119372420"]},"communities":["ytu"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Performance Analysis of Anomaly based Intrusion Detection System using Modified FP-Growth Algorithm","subitem_1551255648112":"en"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"

Nowadays,  research  area  on  network  security  is
\nfacing  new  challenges  with  the  rapid  increment  of  internet
\nusage  and  possible  attacks  day  by  day.  Intrusion  detection
\ntechnology  is  an  effective  approach  to  dealing  with  the
\nproblems  of  network  security.  In  this  paper,  performance
\nanalysis  of  the  proposed  anomaly  based  intrusion  detection
\nsystem  using  modified  FP-Growth  algorithm  is  carried  out
\nbased  on  several  parameters.  The  proposed  intrusion
\ndetection  system  is  composed  of  three  main  parts:
\npreprocessing,  normal-attack  detection  and  attack
\nclassification.  KDD  Cup’99  datasets  are  used  as  reference
\ninput  dataset  to  experimentally  analyze  the  performance  of
\nthe  system.  Experimental  results  show  that  the  proposed
\nintrusion  detection  system  offers  preferable  accuracy  and
\nfalse alarm rate while reducing the execution time.

"}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value_mlt":[{"interim":"FP-Growth algorithm"},{"interim":"intrusion detection"},{"interim":"data mining"},{"interim":"anomaly"},{"interim":"KDD-99 dataset"}]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-07-04"}],"displaytype":"preview","filename":"Performance Analysis of Anomaly based Intrusion Detection System using Modified FP-Growth Algorithm.pdf","filesize":[{"value":"514 Kb"}],"format":"application/pdf","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/3114/files/Performance Analysis of Anomaly based Intrusion Detection System using Modified FP-Growth Algorithm.pdf"},"version_id":"618525b0-0b1f-477f-b032-5e115f0432ad"}]},"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":"12-13 December, 2015","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":"Khin Moh Moh Aung"},{"subitem_authors_fullname":"Nyein Aye Maung Maung"}]}]},"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":"2015-12-12"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"10.5281/zenodo.3268391"},"item_title":"Performance Analysis of Anomaly based Intrusion Detection System using Modified FP-Growth Algorithm","item_type_id":"21","owner":"1","path":["1596119372420"],"publish_date":"2019-07-04","publish_status":"0","recid":"3114","relation_version_is_last":true,"title":["Performance Analysis of Anomaly based Intrusion Detection System using Modified FP-Growth Algorithm"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2021-12-13T05:47:02.836834+00:00"}