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Analysis of Privacy of Private Browsing Mode through Memory Forensics

by Ahmad Ghafarian, Syed Amin Hosseini Seno
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 132 - Number 16
Year of Publication: 2015
Authors: Ahmad Ghafarian, Syed Amin Hosseini Seno
10.5120/ijca2015907693

Ahmad Ghafarian, Syed Amin Hosseini Seno . Analysis of Privacy of Private Browsing Mode through Memory Forensics. International Journal of Computer Applications. 132, 16 ( December 2015), 27-34. DOI=10.5120/ijca2015907693

@article{ 10.5120/ijca2015907693,
author = { Ahmad Ghafarian, Syed Amin Hosseini Seno },
title = { Analysis of Privacy of Private Browsing Mode through Memory Forensics },
journal = { International Journal of Computer Applications },
issue_date = { December 2015 },
volume = { 132 },
number = { 16 },
month = { December },
year = { 2015 },
issn = { 0975-8887 },
pages = { 27-34 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume132/number16/23680-2015907693/ },
doi = { 10.5120/ijca2015907693 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:29:37.924455+05:30
%A Ahmad Ghafarian
%A Syed Amin Hosseini Seno
%T Analysis of Privacy of Private Browsing Mode through Memory Forensics
%J International Journal of Computer Applications
%@ 0975-8887
%V 132
%N 16
%P 27-34
%D 2015
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Most popular web browsers support private browsing mode. It is claimed that private browsing mode protects privacy by leaving no trace of surfing activities behind. Yet it poses a great challenge to the computer forensics investigators who try to reconstruct the past browsing history, in case of any computer incidence. The aim of this research is to use volatile memory forensics methodologies and tools to examine the artifacts left in main memory after a private browsing session. To achieve this goal, it first presents a memory forensics framework that will help the investigators to effectively capture and analyze memory associated with private browsing with respect to incidence response. It then uses the framework to experimentally capture and analyze the memory, for its evidential potential related to private browsing using Firefox, Google Chrome, IE and Safari. We also report the degree of privacy offered by the browsers under study.

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Index Terms

Computer Science
Information Sciences

Keywords

Browser residual data RAM forensics tools volatile memory forensics artifacts framework.

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