Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1963
Title: Platform Independent Browser Forensic Tool for Advanced Analysis of Artifacts and Case Management
Authors: Dissanayake, D
Rajakaruna, S
Ranasinghe, D
Wijesooriya, A
Jayakody, A
Rajapaksha, S. K
Keywords: Platform
Independent Browser
Forensic Tool
Advanced Analysis
Artifacts
Case Management
Issue Date: 9-Dec-2021
Publisher: IEEE
Citation: D. Dissanayake, S. Rajakaruna, D. Ranasinghe, A. Wijesooriya, A. Jayakody and S. Rajapaksha, "Platform Independent Browser Forensic Tool for Advanced Analysis of Artifacts and Case Management," 2021 3rd International Conference on Advancements in Computing (ICAC), 2021, pp. 383-388, doi: 10.1109/ICAC54203.2021.9671121.
Series/Report no.: 2021 3rd International Conference on Advancements in Computing (ICAC);Pages 383-388
Abstract: A web browser is a major attack vector which cyber-criminals utilize to land in an environment. The evidence related to the malicious browsing activities can be found in the host which gives valuable information related to the case. These digital footprints involve history, cookies, bookmarks, saved credentials and downloads etc. This paper presents a sophisticated tool aiding the conventional manual investigation process from evidence collection to the final v e rdict b y a u tomating h u man dependent functions, resulting a fast and unbiased analysis of browser forensic artifacts. This tool states its unique value over the existing tools by working operating systems independently, collecting all browsing evidence including deleted artifacts and encrypted saved credentials, automatically analysing the reputation of the extracted evidence, integrating evidence collected from different web browsers into a single timeline, and correlating the adjacent distrustful events inside and outside the host. Eventually, this tool calculates a browsing reputation scorecard and creates a profile for the host, condensing the findings g a thered t h roughout the investigation. The paper presents another important methodology to predict the future browsing reputation score based on the past browsing patterns. Furthermore, multiple cases management feature and dashboard provide a concise overview of overall findings to the forensic investigator.
URI: http://rda.sliit.lk/handle/123456789/1963
ISBN: 978-1-6654-0862-2
Appears in Collections:Research Papers - IEEE
Research Papers - SLIIT Staff Publications
Research Publications -Dept of Information Technology

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