Review of NLP-based Systems in Digital Forensics and Cybersecurity
David Okore Ukwen, Murat Karabatak
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.
Topics & Concepts
CybercrimeDigital forensicsComputer scienceComputer forensicsComputer securityDigital evidenceData scienceRepresentation (politics)Artificial intelligenceWorld Wide WebThe InternetPolitical sciencePoliticsLawDigital and Cyber ForensicsAdvanced Malware Detection TechniquesNetwork Security and Intrusion Detection