UGC Approved Journal no 63975(19)

ISSN: 2349-5162 | ESTD Year : 2014
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Published in:

Volume 4 Issue 4
April-2017
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR1704054


Registration ID:
170243

Page Number

217-219

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Title

COMPUTATIONAL INTELLIGENCE IN IDENTIFYING COUNTERFEIT DOCUMENTS

Abstract

Digital Forensics is a branch of forensic science that encompases the recovery and investigation of details found in digital devices. Digital Evidence is information found among a variety of electronic devices like CD, pen drive, hard disk or even mobile phones that is useful in legal systems. The use of digital evidences in criminal and civil investigations is taking a major role in recent years. These evidences are equivalent to fingerprints, DNA pattern or iris pattern that is unique for any person. There is still some limitation, where the digital evidence may be misleading. Anyhow, at the end it is the court to decide whether the digital forensic evidence of that investigation is reliable or not. Also with the increasing prevalence of mobile phones, forensic evidences collected from mobile devices are becoming an invaluable source of evidence. This paper shows digital forensics in a different perspective, and analyses the existing methods of digital forensics. The results are checked with all the existing methods and appropriate matching for specific type of forensic evidence like PAN number, Voter ID, AAthar card, etc.with a forensic method.

Key Words

Digital forensics, doctoring, investigation, evidence, fraudulent, automated tools

Cite This Article

"COMPUTATIONAL INTELLIGENCE IN IDENTIFYING COUNTERFEIT DOCUMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.4, Issue 4, page no.217-219, April-2017, Available :http://www.jetir.org/papers/JETIR1704054.pdf

ISSN


2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"COMPUTATIONAL INTELLIGENCE IN IDENTIFYING COUNTERFEIT DOCUMENTS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.4, Issue 4, page no. pp217-219, April-2017, Available at : http://www.jetir.org/papers/JETIR1704054.pdf

Publication Details

Published Paper ID: JETIR1704054
Registration ID: 170243
Published In: Volume 4 | Issue 4 | Year April-2017
DOI (Digital Object Identifier):
Page No: 217-219
Country: Thiruverumbur, Trichy, Tamilnadu, India .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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