Please use this identifier to cite or link to this item: https://rda.sliit.lk/handle/123456789/1761
Title: Comprehensive Forensic Data Extraction and Representation System for Windows Registry
Authors: W. De Alwis, C
Rupasinghe, L
Keywords: Comprehensive
Forensic Data Extraction
Representation System
Windows Registry
Issue Date: 5-Dec-2019
Publisher: IEEE
Citation: W. D. A. Chirath and L. Rupasinghe, "Comprehensive Forensic Data Extraction and Representation System for Windows Registry," 2019 International Conference on Advancements in Computing (ICAC), 2019, pp. 346-350, doi: 10.1109/ICAC49085.2019.9103417.
Series/Report no.: 2019 International Conference on Advancements in Computing (ICAC);Pages 346-350
Abstract: Computer forensics is the process of methodically examining computer media (hard disks, diskettes, tapes, etc.) for evidence. When considering computer forensics, registry forensics plays a vital role because it helps identifying system configurations, application details, user configurations and helps in finding registry malware. Therefore, it is significant to extract this registry information to simplify the investigations for forensic professionals. At present, tools are limited to few commonly used registry information and there is a much border area to cover. Investigators have to manually search for the registries for required artifacts. But the nature and complexity of the registry file structure limits most of the investigators using these registries. Limiting this registry analysis only to the physical registry files and not considering the ability of extraction of registry information from Volatile Memory is another significant issue in registry forensics. Because these tools are only rely on the physical registry files and cannot extract registry artifacts from Volatile Memory. In order to cater to this problem, this research provide a comprehensive solution to registry analysis. This system is capable of extracting registry information from both physical registry files and Volatile Memory.
URI: http://rda.sliit.lk/handle/123456789/1761
ISBN: 978-1-7281-4170-1
Appears in Collections:1st International Conference on Advancements in Computing (ICAC) | 2019
Department of Computer Systems Engineering-Scopes
Research Papers - IEEE
Research Papers - SLIIT Staff Publications

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