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Performance Evaluation of four Different Forensic Tools for Web Browser Analysis
Grace Bunmi Akintola1
Section:Research Paper, Product Type: Journal-Paper
Vol.10 ,
Issue.10 , pp.68-82, Oct-2024
Online published on Oct 31, 2024
Copyright © Grace Bunmi Akintola . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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IEEE Style Citation: Grace Bunmi Akintola, “Performance Evaluation of four Different Forensic Tools for Web Browser Analysis,” International Journal of Scientific Research in Multidisciplinary Studies , Vol.10, Issue.10, pp.68-82, 2024.
MLA Style Citation: Grace Bunmi Akintola "Performance Evaluation of four Different Forensic Tools for Web Browser Analysis." International Journal of Scientific Research in Multidisciplinary Studies 10.10 (2024): 68-82.
APA Style Citation: Grace Bunmi Akintola, (2024). Performance Evaluation of four Different Forensic Tools for Web Browser Analysis. International Journal of Scientific Research in Multidisciplinary Studies , 10(10), 68-82.
BibTex Style Citation:
@article{Akintola_2024,
author = {Grace Bunmi Akintola},
title = {Performance Evaluation of four Different Forensic Tools for Web Browser Analysis},
journal = {International Journal of Scientific Research in Multidisciplinary Studies },
issue_date = {10 2024},
volume = {10},
Issue = {10},
month = {10},
year = {2024},
issn = {2347-2693},
pages = {68-82},
url = {https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=3655},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.isroset.org/journal/IJSRMS/full_paper_view.php?paper_id=3655
TI - Performance Evaluation of four Different Forensic Tools for Web Browser Analysis
T2 - International Journal of Scientific Research in Multidisciplinary Studies
AU - Grace Bunmi Akintola
PY - 2024
DA - 2024/10/31
PB - IJCSE, Indore, INDIA
SP - 68-82
IS - 10
VL - 10
SN - 2347-2693
ER -
Abstract :
Advancements in digital technology have significantly increased the speed and convenience of internet use, enabling people to perform various tasks and activities through different web browsers. However, cybercriminals have exploited these advancements to carry out cybercrimes using multiple devices, including computers and mobile devices. The rise in cybercrime necessitates the adoption of digital forensics technologies and tools by law enforcement agencies to identify, acquire, process, analyze, and report electronically stored data from seized devices, tracking the suspect`s online activities. This data can serve as admissible evidence in court if a forensic investigator conducts a thorough investigation. This paper evaluates and compares the performance of four forensic tools on a Windows 10 system using live data acquisition. The selected tools include Browser History Examiner (BHE), Browser History View (BHV), RS Browser, and OS Forensic, which were used to analyze five commonly used web browsers: Google Chrome, Microsoft Edge, Opera Mini, Internet Explorer, and Mozilla Firefox. The evaluation focuses on feature-based accuracy to determine which tools provide more valuable and substantial evidence during criminal investigations. Among the thirty-nine features identified across all tools, the OS Forensic tool demonstrated the highest accuracy, retrieving comprehensive browser data with an accuracy of 89.74% across four browsers (Google Chrome, Microsoft Edge, Internet Explorer, and Firefox). The RS Browser tool showed an accuracy of 71.79% across all five browsers, while BHE demonstrated an accuracy of 61.54% across Google Chrome, Microsoft Edge, Internet Explorer, and Firefox. BHV exhibited 33.33% accuracy across the four browsers.
Key-Words / Index Term :
digital forensic, forensic tools, web browsers, Cybercrime, live acquisition data, digital forensic technology, web browser analysis
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