Computer Forensics Data Recovery Software: A Comparative Study
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| 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 |
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| 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 |
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| 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 |
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