Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1347
DC FieldValueLanguage
dc.contributor.authorShekh Abdullah-Al-Musa Ahmeden_US
dc.contributor.authorNZ Khidziren_US
dc.contributor.authorTan, Tse Guanen_US
dc.date.accessioned2021-04-29T23:09:56Z-
dc.date.available2021-04-29T23:09:56Z-
dc.date.issued2019-
dc.identifier.isbn22317716-
dc.identifier.urihttp://hdl.handle.net/123456789/1347-
dc.descriptionMyciteen_US
dc.description.abstractData plays an important role in the maintenance of collecting and processing huge amounts of information. Much more data is stored, more suitable and essential it is to ensure the safety. A lack of data security can result in great financial failures and reputational damage for any organization. Big data vulnerably comes when not authorized person gain access to the data. As a matter of fact Big data is an synthetic tools which gives all of us result. Through this papers displaying various problems that are related to Big data problem and opportunity. Nevertheless this paper suggest a BDS model or Big Data Security diagram to give the big data security. Just as companies started out checking out e- Business activity such as sociable media for brand advertising and customer diamond, they have also started out turning to data stats as well. Today, it is nearly impossible to find any brand that will indeed not have sociable mass media presence. Looking at that the growing of the data which means the result of Big data issue will come. However , big data and digital evidences integrity required BDS model to provide the security of data in the organization.en_US
dc.language.isoenen_US
dc.publisherUiTMen_US
dc.relation.ispartofJurnal Inteleken_US
dc.subjectStructured dataen_US
dc.subjectUnstructured dataen_US
dc.subjectSemi-structured dataen_US
dc.subjectBig data Securityen_US
dc.subjectDigital evidenceen_US
dc.subjectlegal requirementen_US
dc.subjectBDS Modelen_US
dc.titleTowards the Big Data and Digital Evidences Integrityen_US
dc.typeNationalen_US
dc.identifier.doihttps://doi.org/10.24191/ji.v14i1.8544-
dc.description.page1-8en_US
dc.title.titleofbookJurnal Inteleken_US
dc.description.typeArticleen_US
item.fulltextWith Fulltext-
item.openairetypeNational-
item.languageiso639-1en-
item.grantfulltextopen-
crisitem.author.deptUniversiti Malaysia Kelantan-
Appears in Collections:Journal Indexed MyCite - FTKW
Files in This Item:
File Description SizeFormat
Publication_JurnalIntelek2020-NZ-8544-817-27784-1-10-20200324.pdfResearch Article / Indexing MyCite257.5 kBAdobe PDFView/Open
Show simple item record

Google ScholarTM

Check

Altmetric

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.