{"created":"2020-09-01T14:30:11.141489+00:00","id":4317,"links":{},"metadata":{"_buckets":{"deposit":"a2db5ea9-e25a-4d93-a12b-2ce10d831eb7"},"_deposit":{"id":"4317","owners":[],"pid":{"revision_id":0,"type":"recid","value":"4317"},"status":"published"},"_oai":{"id":"oai:meral.edu.mm:recid/4317","sets":["1582963302567:1597824322519"]},"communities":["ucsy"],"item_1583103067471":{"attribute_name":"Title","attribute_value_mlt":[{"subitem_1551255647225":"Forensic Investigation on Hadoop Big Data Platform","subitem_1551255648112":"en_US"}]},"item_1583103085720":{"attribute_name":"Description","attribute_value_mlt":[{"interim":"In the era of Big Data, Hadoop Big Data Platform has been embraced by bothindividuals and organizations as it can offer cost-effective, large capacity storage andmulti-functional services on a wide range of devices. It is fast raising popularity toaccess Hadoop services via client devices. The widespread usage of Hadoop Big DataPlatform could create the environment that is potentially conducive to maliciousactivities and illegal operations. Thus, the forensic investigation on Hadoop Big DataPatform becomes the emerging field for the digital forensic community. There is alsoa need for a digital forensic framework relating to the forensic analysis of HadoopPlatform to guide the forensic works on Hadoop Big Data Platform to discover thepotential evidences in order to identify the usages.Hadoop produces a large amount of backlog per operation, which has led tocumulative backlogs of evidence awaiting analysis. The following major forensicchallenges are arising in Hadoop Big Data Platform environment because of: complexinfrastructure, the large amount of Hadoop backlog and lack of location knowledgeabout digital evidences. Without knowing where the evidential data may reside, it canimpede an investigation.This research proposed a forensic investigation framework to guide theforensic works on Hadoop Big Data Platform. Moreover, as the proactive researchbefore conducting the forensics, it discovers residual artifacts (potential evidences)from Server and attached client devices of popular Hadoop Big Data Platforms:Ambari Hortonworks Data Platform (Ambari HDP), Non-Ambari Hortonworks DataPlatform (Non-Ambari HDP), Cloudera Distribution of Hadoop (CDH) and MapRHadoop Platform (MapR).The experiments are conducted in relation to the use of popular Hadoop BigData Platforms by accessing with the client devices of different Operating Systems(OS). The residual artifacts are also extracted from the attached client devices ofdiffernet OS. The underlying OS of attached client devices are: Windows PC andAndroid Smart Phone.It was decided to examine a user accessing Hadoop Platforms, and also toexamine any differences when using different browsers: Internet Explorer, MozillaFirefox, Google Chrome, and Android Browsers. The file operations are tested withvithe different client devices for each browser to identify the different circumstance ofusage.A variety of circumstances were examined, including the different types ofoperation to access, upload and download data in the Hadoop. By determining theresidual artifacts on server and client components, this research contributes to a betterunderstanding of the types of artifacts that are likely to remain. The extracted artifactscan assist the forensic examiners for future forensic investigation on Hadoop Big DataPlatform.The popular crime scenarioes which are extended the Forensic Copra‘s crimecases and CYFOR cases are examined under the guide of proposed forensicinvestigation framework for Hadoop Big Data Platform."}]},"item_1583103108160":{"attribute_name":"Keywords","attribute_value":[]},"item_1583103120197":{"attribute_name":"Files","attribute_type":"file","attribute_value_mlt":[{"accessrole":"open_access","date":[{"dateType":"Available","dateValue":"2019-09-23"}],"displaytype":"preview","filename":"Forensic Investigation on Hadoop Big Data Platform.pdf","filesize":[{"value":"1509 Kb"}],"format":"application/pdf","licensetype":"license_note","mimetype":"application/pdf","url":{"url":"https://meral.edu.mm/record/4317/files/Forensic Investigation on Hadoop Big Data Platform.pdf"},"version_id":"eb822083-08c5-464c-80b1-b1ab85820b2a"}]},"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":"","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":"University of Computer Studies, Yangon","subitem_supervisor(s)":[{"subitem_supervisor":""}]}]},"item_1583105942107":{"attribute_name":"Authors","attribute_value_mlt":[{"subitem_authors":[{"subitem_authors_fullname":"Oo, Myat Nandar"}]}]},"item_1583108359239":{"attribute_name":"Upload type","attribute_value_mlt":[{"interim":"Publication"}]},"item_1583108428133":{"attribute_name":"Publication type","attribute_value_mlt":[{"interim":"Thesis"}]},"item_1583159729339":{"attribute_name":"Publication date","attribute_value":"2019-01"},"item_1583159847033":{"attribute_name":"Identifier","attribute_value":"http://onlineresource.ucsy.edu.mm/handle/123456789/2256"},"item_title":"Forensic Investigation on Hadoop Big Data Platform","item_type_id":"21","owner":"1","path":["1597824322519"],"publish_date":"2019-09-23","publish_status":"0","recid":"4317","relation_version_is_last":true,"title":["Forensic Investigation on Hadoop Big Data Platform"],"weko_creator_id":"1","weko_shared_id":-1},"updated":"2022-03-24T23:11:30.032425+00:00"}