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A Review of Evidence Extraction Techniques in Big Data Environment

Big data; Computer crime; Digital forensics; Electronic crime countermeasures; Environmental regulations; Analytic method; Business Process; Computer engineers; Court of law; Evidence extraction; Information eras; New technologies; Tools and techniques; Data mining

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Main Authors: Mokhtar S.H., Muruti G., Ibrahim Z.-A., Rahim F.A., Kasim H.
Other Authors: 57205282907
Format: Conference Paper
Published: Institute of Electrical and Electronics Engineers Inc. 2023
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spelling my.uniten.dspace-235502023-05-29T14:50:12Z A Review of Evidence Extraction Techniques in Big Data Environment Mokhtar S.H. Muruti G. Ibrahim Z.-A. Rahim F.A. Kasim H. 57205282907 57202611569 57203863738 57350579500 57203863798 Big data; Computer crime; Digital forensics; Electronic crime countermeasures; Environmental regulations; Analytic method; Business Process; Computer engineers; Court of law; Evidence extraction; Information eras; New technologies; Tools and techniques; Data mining Today, information era where data is being generated at high in volume, variety, and velocity, a new technology is needed to cope with such data. Companies are no longer depends on the traditional tools and techniques to cater and handle data. Not only ending on how to store and process the data, they also wanted to gain insight of the data to optimize business process and gain a larger profit. To satisfy these requirements, a good analytic method must be applied to big data in order to extract value and knowledge from these data sets. While computer engineers are working on that part, this valuable data is also being eyed somewhere else. New attacks and attempts to taint the security, privacy, and integrity of the data are being developed somewhere without we knowing. This paper aims to analyze different analytics methods and tools, which can be applied in big data environment, in actionable time while at the same time extract evidence of intrusion in order for the results to be presented in a court of law fitting a digital forensic process. � 2018 IEEE. Final 2023-05-29T06:50:12Z 2023-05-29T06:50:12Z 2018 Conference Paper 10.1109/ICSCEE.2018.8538437 2-s2.0-85059384362 https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059384362&doi=10.1109%2fICSCEE.2018.8538437&partnerID=40&md5=9a226af2e9bb1fa95010d1df72b32180 https://irepository.uniten.edu.my/handle/123456789/23550 8538437 Institute of Electrical and Electronics Engineers Inc. Scopus
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
url_provider http://dspace.uniten.edu.my/
description Big data; Computer crime; Digital forensics; Electronic crime countermeasures; Environmental regulations; Analytic method; Business Process; Computer engineers; Court of law; Evidence extraction; Information eras; New technologies; Tools and techniques; Data mining
author2 57205282907
author_facet 57205282907
Mokhtar S.H.
Muruti G.
Ibrahim Z.-A.
Rahim F.A.
Kasim H.
format Conference Paper
author Mokhtar S.H.
Muruti G.
Ibrahim Z.-A.
Rahim F.A.
Kasim H.
spellingShingle Mokhtar S.H.
Muruti G.
Ibrahim Z.-A.
Rahim F.A.
Kasim H.
A Review of Evidence Extraction Techniques in Big Data Environment
author_sort Mokhtar S.H.
title A Review of Evidence Extraction Techniques in Big Data Environment
title_short A Review of Evidence Extraction Techniques in Big Data Environment
title_full A Review of Evidence Extraction Techniques in Big Data Environment
title_fullStr A Review of Evidence Extraction Techniques in Big Data Environment
title_full_unstemmed A Review of Evidence Extraction Techniques in Big Data Environment
title_sort review of evidence extraction techniques in big data environment
publisher Institute of Electrical and Electronics Engineers Inc.
publishDate 2023
_version_ 1806427391969460224
score 13.214268

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