The Journal of Digital Forensics and Artificial Intelligence (DIFA) invites original articles and not simultaneously submitted to another journal or conference. The whole spectrum of Digital Forensics and Artificial Intelligence is welcome, which includes Computer Forensics, Mobile Device Forensics, Network Forensics, Database Forensics, Memory Forensics, Malware Analysis, Digital Evidence Examination, Cyber Security, Cryptography, Machine Learning, Deep Learning, Data Mining, Computer Vision, Data Analysis, and Natural Language Processing.

The journal publishes outcomes, as well as proposed approaches to Digital Forensics (DF) and Artificial Intelligence (AI), challenges that must provide evidence of usefulness and effectiveness. Applications of DF and AI papers are also welcome, although the papers should be the present novel implementation of DF and AI approaches that improve performance of the practical domain compared to the other established approach. Therefore, an applications paper must describe a sound solution, underline its uniqueness, and provide an in-depth analysis of the DF and AI approaches that were used to solve the problems.

This journal accepts original research articles and reviews. The journal operates a double-blind peer review policy. Original research could be fundamental and applied papers that should have a compelling motivational discussion, articulate the research's relevance to Digital Forensics and Artificial Intelligence, clarify what is novel and different to the other works and anticipate the work's scientific impact, include all necessary proofs and experimental data, and provide a scientific discussion of the paper's connections to existing literature. Reviews considerable effort to evaluating and publishing scholarly articles that provide comprehensive and principled reviews of significant existing and emerging research areas. It should be has a clear position of the paper and findings that articulate scientific issues of interest to the Digital Forensics and Artificial Intelligence research community.