UGC Approved Journal no 63975(19)

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

Volume 7 Issue 11
November-2020
eISSN: 2349-5162

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

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Published Paper ID:
JETIR2011328


Registration ID:
303815

Page Number

233-243

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Title

RESIDUAL FACEBOOK DATA ANALYSIS IN BROWSERS

Abstract

The Internet is an essential tool for everyday tasks. Aside from common use, the option to browse the Internet privately is a desirable attribute. However, this can create a problem when private Internet sessions become hidden from computer forensic investigators in need of evidence. Our primary focus in this research is to discover residual artifacts from private and portable web browsing sessions. In addition, the artifacts must contain more than just file fragments and enough to establish an affirmative link between user and session. As social media applications such as Facebook become an integral part of our society, they are also becoming an important source of information in a digital (forensics) investigation. In this paper, we examine the potential to recover artifacts of forensic interest after three popular browsers, namely: Mozilla Firefox, Google Chrome and Internet Explorer, have been used to access Facebook. Findings from this research will hopefully contribute to a better understanding to mobile device and app forensics. Certain aspects of this topic have triggered many questions, but there have never been enough authoritative answers to follow. As a result, we propose a new methodology for analyzing private and portable web browsing artifacts. Our research will serve to be a significant resource for law enforcement, computer forensic investigators, and the digital forensics research community

Key Words

Facebook Data, Autopsy Evaluation Metrics, Machine Learning

Cite This Article

"RESIDUAL FACEBOOK DATA ANALYSIS IN BROWSERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 11, page no.233-243, November-2020, Available :http://www.jetir.org/papers/JETIR2011328.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

"RESIDUAL FACEBOOK DATA ANALYSIS IN BROWSERS", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 11, page no. pp233-243, November-2020, Available at : http://www.jetir.org/papers/JETIR2011328.pdf

Publication Details

Published Paper ID: JETIR2011328
Registration ID: 303815
Published In: Volume 7 | Issue 11 | Year November-2020
DOI (Digital Object Identifier):
Page No: 233-243
Country: VIzAG, AP, INDIA .
Area: Engineering
ISSN Number: 2349-5162
Publisher: IJ Publication


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