Forensic Science International Digital Investigation Template
Write in a clean editor, then format for Forensic Science International Digital Investigation in one click — DocuGuru applies the official Elsevier template with numbered references and exports a submission-ready PDF plus the editable LaTeX source. Free to start.
About the Forensic Science International Digital Investigation format
Forensic Science International Digital Investigation is a peer-reviewed journal published by Elsevier, covering Digital and Cyber Forensics, Advanced Malware Detection Techniques, Digital Media Forensic Detection.
| Publisher | Elsevier |
|---|---|
| Reference style | Numbered (Elsevier) Numbered — [1], [2] in the text [1] A. Smith, B. Jones, C. Lee, A representative article title, Forensic Science International Digital Investigation 12 (2023) 45–58.
Formats any DOI in Forensic Science International Digital Investigation style. No sign-up. |
| Publishes research in | Digital and Cyber Forensics Advanced Malware Detection Techniques Digital Media Forensic Detection User Authentication and Security Systems Diverse Scientific and Economic Studies |
| ISSN | 2666-2817 |
| Citation impact (2-yr) | 2.47 |
| h-index | 32 |
| i10-index | 181 |
| Total citations | 5,591 |
| Article processing charge | $2,950 |
| Top institutions publishing here | Korea University |
| Journal website | www.journals.elsevier.com |
| You get | A submission-ready PDF and the editable LaTeX source — ready to submit. |
Papers published in Forensic Science International Digital Investigation per year
Citation impact of Forensic Science International Digital Investigation by publication year
Citations each year’s papers have accumulated so far — the most recent years are still building up.
Most-cited papers in Forensic Science International Digital Investigation
Packet analysis is a primary traceback technique in network forensics, which, providing that the packet details captured are sufficiently detailed, can play back even the entire network traffic for a particular point in time. This can be used to find traces of nefarious online behavior, data breaches, unauthorized website access, malware infection, and intrusion attempts,…
Internet of Things (IoT) bot malware is relatively new and not yet well understood forensically, despite its potential role in a broad range of malicious cyber activities. For example, it was abused to facilitate the distributed denial of service (DDoS) attack that took down a significant portion of the Internet on October 21, 2016, keeping…
In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and Machine Learning (ML) stands as a transformative technology, poised to amplify the efficiency and precision of digital forensics investigations. However, the use of ML and AI in digital forensics is still in its nascent stages. As a result, this paper gives…