Computer Forensics Data Recovery Software: A Comparative Study

Saved in:
Bibliographic Details
Title: Computer Forensics Data Recovery Software: A Comparative Study
Authors: Varayogula, Sai Niveditha, Dodiya, Kiranbhai, Lakhalani, Parth, Chawla, Arushi
Source: International Journal of Innovative Research in Computer Science & Technology; Vol. 10 No. 2 (2022): International Journal of Innovative Research in Computer Science and Technology (Mar ) 2022; 513-518 ; 2347-5552
Publisher Information: IJIRCST
Publication Year: 2022
Subject Terms: Acquisition, Computer Forensic, Data Recovery, DataForensic, Digital Devices
Description: With the advancement of the information technology, computer has become more important for the people. Computer not only stores data but also increase the channels of storing data in digital devices like pen drive, hard disk, memory card. However, problem with these digital devices is that if data has lost it is very difficult to recover; so many researchers do research on it and suggested the method of data recovery. The term data refers to the combination of numbers or words, images, audio or video files or even a software program. Data restore is the procedure of recovery of information from media that is either corrupted or damaged physically. The data recovery software extracts the data that requires serving as an evidence from personal computers and digital devices in criminal cases that involve frauds, murder, corruption, money laundering, assault, smuggling, email scams, digital abuse, matrimonial frauds and much more. Here in this study, we combine probably all data recovery software and we will conclude that the best data recovery software in forensic sound manner. This study will help in future study to understand the overview of computer forensics data recovery software.
Document Type: article in journal/newspaper
Language: English
Relation: https://journals.acspublisher.com/index.php/ijircst/article/view/10623/9289; https://journals.acspublisher.com/index.php/ijircst/article/view/10623
Availability: https://journals.acspublisher.com/index.php/ijircst/article/view/10623
Accession Number: edsbas.12DFC550
Database: BASE
FullText Text:
  Availability: 0
CustomLinks:
  – Url: https://journals.acspublisher.com/index.php/ijircst/article/view/10623#
    Name: EDS - BASE (s4221598)
    Category: fullText
    Text: View record from BASE
  – Url: https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=EBSCO&SrcAuth=EBSCO&DestApp=WOS&ServiceName=TransferToWoS&DestLinkType=GeneralSearchSummary&Func=Links&author=Varayogula%20SN
    Name: ISI
    Category: fullText
    Text: Nájsť tento článok vo Web of Science
    Icon: https://imagesrvr.epnet.com/ls/20docs.gif
    MouseOverText: Nájsť tento článok vo Web of Science
Header DbId: edsbas
DbLabel: BASE
An: edsbas.12DFC550
RelevancyScore: 925
AccessLevel: 3
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 925.000732421875
IllustrationInfo
Items – Name: Title
  Label: Title
  Group: Ti
  Data: Computer Forensics Data Recovery Software: A Comparative Study
– Name: Author
  Label: Authors
  Group: Au
  Data: <searchLink fieldCode="AR" term="%22Varayogula%2C+Sai+Niveditha%22">Varayogula, Sai Niveditha</searchLink><br /><searchLink fieldCode="AR" term="%22Dodiya%2C+Kiranbhai%22">Dodiya, Kiranbhai</searchLink><br /><searchLink fieldCode="AR" term="%22Lakhalani%2C+Parth%22">Lakhalani, Parth</searchLink><br /><searchLink fieldCode="AR" term="%22Chawla%2C+Arushi%22">Chawla, Arushi</searchLink>
– Name: TitleSource
  Label: Source
  Group: Src
  Data: International Journal of Innovative Research in Computer Science & Technology; Vol. 10 No. 2 (2022): International Journal of Innovative Research in Computer Science and Technology (Mar ) 2022; 513-518 ; 2347-5552
– Name: Publisher
  Label: Publisher Information
  Group: PubInfo
  Data: IJIRCST
– Name: DatePubCY
  Label: Publication Year
  Group: Date
  Data: 2022
– Name: Subject
  Label: Subject Terms
  Group: Su
  Data: <searchLink fieldCode="DE" term="%22Acquisition%22">Acquisition</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+Forensic%22">Computer Forensic</searchLink><br /><searchLink fieldCode="DE" term="%22Data+Recovery%22">Data Recovery</searchLink><br /><searchLink fieldCode="DE" term="%22DataForensic%22">DataForensic</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+Devices%22">Digital Devices</searchLink>
– Name: Abstract
  Label: Description
  Group: Ab
  Data: With the advancement of the information technology, computer has become more important for the people. Computer not only stores data but also increase the channels of storing data in digital devices like pen drive, hard disk, memory card. However, problem with these digital devices is that if data has lost it is very difficult to recover; so many researchers do research on it and suggested the method of data recovery. The term data refers to the combination of numbers or words, images, audio or video files or even a software program. Data restore is the procedure of recovery of information from media that is either corrupted or damaged physically. The data recovery software extracts the data that requires serving as an evidence from personal computers and digital devices in criminal cases that involve frauds, murder, corruption, money laundering, assault, smuggling, email scams, digital abuse, matrimonial frauds and much more. Here in this study, we combine probably all data recovery software and we will conclude that the best data recovery software in forensic sound manner. This study will help in future study to understand the overview of computer forensics data recovery software.
– Name: TypeDocument
  Label: Document Type
  Group: TypDoc
  Data: article in journal/newspaper
– Name: Language
  Label: Language
  Group: Lang
  Data: English
– Name: NoteTitleSource
  Label: Relation
  Group: SrcInfo
  Data: https://journals.acspublisher.com/index.php/ijircst/article/view/10623/9289; https://journals.acspublisher.com/index.php/ijircst/article/view/10623
– Name: URL
  Label: Availability
  Group: URL
  Data: https://journals.acspublisher.com/index.php/ijircst/article/view/10623
– Name: AN
  Label: Accession Number
  Group: ID
  Data: edsbas.12DFC550
PLink https://erproxy.cvtisr.sk/sfx/access?url=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=edsbas&AN=edsbas.12DFC550
RecordInfo BibRecord:
  BibEntity:
    Languages:
      – Text: English
    Subjects:
      – SubjectFull: Acquisition
        Type: general
      – SubjectFull: Computer Forensic
        Type: general
      – SubjectFull: Data Recovery
        Type: general
      – SubjectFull: DataForensic
        Type: general
      – SubjectFull: Digital Devices
        Type: general
    Titles:
      – TitleFull: Computer Forensics Data Recovery Software: A Comparative Study
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Varayogula, Sai Niveditha
      – PersonEntity:
          Name:
            NameFull: Dodiya, Kiranbhai
      – PersonEntity:
          Name:
            NameFull: Lakhalani, Parth
      – PersonEntity:
          Name:
            NameFull: Chawla, Arushi
    IsPartOfRelationships:
      – BibEntity:
          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2022
          Identifiers:
            – Type: issn-locals
              Value: edsbas
            – Type: issn-locals
              Value: edsbas.oa
          Titles:
            – TitleFull: International Journal of Innovative Research in Computer Science & Technology; Vol. 10 No. 2 (2022): International Journal of Innovative Research in Computer Science and Technology (Mar ) 2022
              Type: main
ResultId 1