Abstract
Digital forensic investigators face a wide range of inquiry goals, such as dealing with cybercrime. Digital forensic tools are no different. Different digital traces were examined on persistent storage devices (SSDs, SD cards, and USB drives), volatile memory snapshots, and network captures. A large realistic, timely training data is required to train experts, improve the forensic tools and keep their knowledge and capabilities up to date. However, there is a significant gap in digital forensic training data due to many factors such as privacy, secrecy, data protection, and intellectual property rights. Multiple frameworks for generating realistic digital forensic data sets have been proposed in recent years. None of these frameworks offers a comprehensive strategy for creating digital forensic tools, for relevant traces, from many sources. Keywords s: Data Storage, Cybersecurity, Cybercrime, Protection, Forensics, interference. BOOK Chapter ǀ Research Nexus in IT, Law, Cyber Security & Forensics. Open Access. Distributed Free Citation: Amenuveve Gracious Adzogbley (2022). Storing Forensic Data Against Interference SMART-IEEE-Creative Research Publications Book Chapter Series on Research Nexus in IT, Law, Cyber Security & Forensics. Pp 7-14. www.isteams.net/ITlawbookchapter2022. dx.doi.org/
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