Log in
Language:

MERAL Myanmar Education Research and Learning Portal

  • Top
  • Universities
  • Ranking
To
lat lon distance
To

Field does not validate



Index Link

Index Tree

Please input email address.

WEKO

One fine body…

WEKO

One fine body…

Item

{"_buckets": {"deposit": "e0afd3b9-ee2f-492e-ae28-fd5960806e62"}, "_deposit": {"id": "4784", "owners": [], "pid": {"revision_id": 0, "type": "recid", "value": "4784"}, "status": "published"}, "_oai": {"id": "oai:meral.edu.mm:recid/4784", "sets": ["1597824273898", "user-ucsy"]}, "communities": ["ucsy"], "item_1583103067471": {"attribute_name": "Title", "attribute_value_mlt": [{"subitem_1551255647225": "Forensic Investigation on Hadoop Hortonworks Data Platform", "subitem_1551255648112": "en"}]}, "item_1583103085720": {"attribute_name": "Description", "attribute_value_mlt": [{"interim": "Nowadays Hadoop becomes a popularbusiness paradigm for managing and storing the BigData. It is possible for malicious users to abuse BigData storage system and the number of illegal usageson them has increased rapidly. Hadoop Big Datastorage system is an emerging challenge to theforensic investigators. Therefore procedures forforensic investigation of Hadoop are necessary.Forensic investigation may take time withoutknowing where the data remnants can reside. Thispaper proposes a forensic investigation processmodel for Hadoop storage of Hortonworks DataPlatform (HDP) and discovers the important dataremnants. The investigation scope contains not onlyon Hadoop Server but also the attached clientmachines. The resulting data remnants fromconducting forensic investigation research onHadoop HDP assist the forensics examiners andpractitioners for generating the evidences. We alsopresent the investigation of HDP with a crimescenario."}]}, "item_1583103108160": {"attribute_name": "Keywords", "attribute_value_mlt": [{"interim": "Big Data Storage System"}, {"interim": "Criminal Activity"}, {"interim": "Data Remnants"}, {"interim": "Forensic Investigation"}, {"interim": "Hadoop HDP"}]}, "item_1583103120197": {"attribute_name": "Files", "attribute_type": "file", "attribute_value": []}, "item_1583103131163": {"attribute_name": "Journal articles", "attribute_value_mlt": [{"subitem_issue": "", "subitem_journal_title": "Fifteenth International Conference on Computer Applications(ICCA 2017)", "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": "Oo, Myat Nandar"}, {"subitem_authors_fullname": "Thein, Thandar"}]}]}, "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": "2017-02-16"}, "item_1583159847033": {"attribute_name": "Identifier", "attribute_value": "http://onlineresource.ucsy.edu.mm/handle/123456789/673"}, "item_title": "Forensic Investigation on Hadoop Hortonworks Data Platform", "item_type_id": "21", "owner": "1", "path": ["1597824273898"], "permalink_uri": "http://hdl.handle.net/20.500.12678/0000004784", "pubdate": {"attribute_name": "Deposited date", "attribute_value": "2019-07-11"}, "publish_date": "2019-07-11", "publish_status": "0", "recid": "4784", "relation": {}, "relation_version_is_last": true, "title": ["Forensic Investigation on Hadoop Hortonworks Data Platform"], "weko_shared_id": -1}
  1. University of Computer Studies, Yangon
  2. Conferences

Forensic Investigation on Hadoop Hortonworks Data Platform

http://hdl.handle.net/20.500.12678/0000004784
http://hdl.handle.net/20.500.12678/0000004784
0be41ce1-b2a9-4297-8198-0ecf67be1ceb
e0afd3b9-ee2f-492e-ae28-fd5960806e62
Publication type
Article
Upload type
Publication
Title
Title Forensic Investigation on Hadoop Hortonworks Data Platform
Language en
Publication date 2017-02-16
Authors
Oo, Myat Nandar
Thein, Thandar
Description
Nowadays Hadoop becomes a popularbusiness paradigm for managing and storing the BigData. It is possible for malicious users to abuse BigData storage system and the number of illegal usageson them has increased rapidly. Hadoop Big Datastorage system is an emerging challenge to theforensic investigators. Therefore procedures forforensic investigation of Hadoop are necessary.Forensic investigation may take time withoutknowing where the data remnants can reside. Thispaper proposes a forensic investigation processmodel for Hadoop storage of Hortonworks DataPlatform (HDP) and discovers the important dataremnants. The investigation scope contains not onlyon Hadoop Server but also the attached clientmachines. The resulting data remnants fromconducting forensic investigation research onHadoop HDP assist the forensics examiners andpractitioners for generating the evidences. We alsopresent the investigation of HDP with a crimescenario.
Keywords
Big Data Storage System, Criminal Activity, Data Remnants, Forensic Investigation, Hadoop HDP
Identifier http://onlineresource.ucsy.edu.mm/handle/123456789/673
Journal articles
Fifteenth International Conference on Computer Applications(ICCA 2017)
Conference papers
Books/reports/chapters
Thesis/dissertations
Back
0
0
views
downloads
See details
Views Downloads

Versions

Ver.1 2020-09-01 15:21:19.385743
Show All versions

Share

Mendeley Twitter Facebook Print Addthis

Export

OAI-PMH
  • OAI-PMH DublinCore
Other Formats
  • JSON

Confirm


Back to MERAL


Back to MERAL