Publication:
A Review of Evidence Extraction Techniques in Big Data Environment

Simple item page
dc.contributor.authorMokhtar S.H.en_US
dc.contributor.authorMuruti G.en_US
dc.contributor.authorIbrahim Z.-A.en_US
dc.contributor.authorRahim F.A.en_US
dc.contributor.authorKasim H.en_US
dc.contributor.authorid57205282907en_US
dc.contributor.authorid57202611569en_US
dc.contributor.authorid57203863738en_US
dc.contributor.authorid57350579500en_US
dc.contributor.authorid57203863798en_US
dc.date.accessioned2023-05-29T06:50:12Z
dc.date.available2023-05-29T06:50:12Z
dc.date.issued2018
dc.descriptionBig 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 miningen_US
dc.description.abstractToday, 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.en_US
dc.description.natureFinalen_US
dc.identifier.ArtNo8538437
dc.identifier.doi10.1109/ICSCEE.2018.8538437
dc.identifier.scopus2-s2.0-85059384362
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85059384362&doi=10.1109%2fICSCEE.2018.8538437&partnerID=40&md5=9a226af2e9bb1fa95010d1df72b32180
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/23550
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.sourceScopus
dc.sourcetitle2018 International Conference on Smart Computing and Electronic Enterprise, ICSCEE 2018
dc.titleA Review of Evidence Extraction Techniques in Big Data Environmenten_US
dc.typeConference Paperen_US
dspace.entity.typePublication
Files
Collections
SCOPUS