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Review of NLP-based Systems in Digital Forensics and Cybersecurity - 2021

Review of NLP-based Systems in Digital Forensics and Cybersecurity

Research Area:  Digital Forensics

Abstract:

Over the years, there is an increase in the use of Artificial Intelligence (AI) by digital forensics and cybersecurity professionals to combat cybercrime. Natural Language Processing (NLP) and AI applications for digital forensics and cybersecurity include data mining, knowledge representation, pattern recognition, and expert systems. This research paper focuses on a literature review of NLP-based systems in digital forensics and cybersecurity: role, applications, challenges, and future directions. This article serves as a guide for researchers and practitioners on the current state of cybersecurity and digital forensics and as well provides a roadmap for the future.

Keywords:  

Author(s) Name:  David Okore Ukwen; Murat Karabatak

Journal name:  International Symposium on Digital Forensics and Security

Conferrence name:  

Publisher name:  IEEE

DOI:  10.1109/ISDFS52919.2021.9486354

Volume Information: