This journal focuses on digital forensics, specifically exploring methodologies for analyzing digital evidence from various sources including dark web forums, cyber-attacks, mobile devices, AI-generated images, and AI companion applications. The research investigates the application of advanced techniques such as ontologies, large language models, and noise pattern analysis to improve the efficiency and accuracy of digital investigations.
Based on the Think.Check.Submit framework by DOAJ, COPE & OASPA. All data from verified open sources.
Publication & Citation Trend
Articles published
Times cited
2020
2021
2022
2023
2024
2025
2026
Source: OpenAlex · Note: citations accumulate over time so older years appear higher
SJR Quartile by Discipline
Scimago ranks this journal separately in each subject category — its quartile can differ by discipline.
LawQ1
Medical Laboratory TechnologyQ1
Computer Science ApplicationsQ2
Information SystemsQ2
Pathology and Forensic MedicineQ2
Subject Classification
Web of Science Categories
Computer Science, Information SystemsComputer Science, Interdisciplinary Applications
Scopus Categories
LawMedical Laboratory TechnologyInformation SystemsComputer Science ApplicationsPathology and Forensic Medicine
Research Topics (OpenAlex)
Digital and Cyber ForensicsAdvanced Malware Detection TechniquesDigital Media Forensic DetectionUser Authentication and Security SystemsDiverse Scientific and Economic StudiesAdvanced Steganography and Watermarking TechniquesCybercrime and Law Enforcement StudiesNetwork Security and Intrusion DetectionHuman auditory perception and evaluationSecurity and Verification in Computing