Digital Investigation

Aims & Scope

Digital Investigation is now continued as Forensic Science International: Digital Investigation, advancing digital transformations in forensic science.

FSI Digital Investigation covers a broad array of subjects related to crime and security throughout the computerized world.

The primary pillar of this publication is digital evidence and multimedia, with the core qualities of provenance, integrity and authenticity.

This publication promotes advances in investigating cybercrimes, cyberattacks and traditional crimes involving digital evidence, using scientific practices in digital investigations, and reducing the use of technology for criminal purposes.

This widely referenced publication promotes innovations and advances in utilizing digital evidence and multimedia for legal purposes, including criminal justice, incident response, cybercrime analysis, cyber-risk management, civil and regulatory matters, and privacy protection.

Relevant research areas include forensic science, computer science, data science, artificial intelligence, and smart technology.

Abstracting & Indexing

Journal is indexed in leading academic databases, ensuring global visibility and accessibility of our peer-reviewed research.

• Scopus
• Google Scholar

Subjects & Keywords

Journal’s research areas, covering key disciplines and specialized sub-topics in Computer Science, Health Professions, Medicine and Social Sciences, designed to support cutting-edge academic discovery.

Most Cited Articles

The Most Cited Articles section features the journal's most impactful research, based on citation counts. These articles have been referenced frequently by other researchers, indicating their significant contribution to their respective fields.

• Digital forensics research: The next 10 years

  Citation: 410

  Authors: Simson L.

• Identifying almost identical files using context triggered piecewise hashing

  Citation: 344

  Authors: Jesse

• MalDozer: Automatic framework for android malware detection using deep learning

  Citation: 319

  Authors: ElMouatez Billah, Mourad, Abdelouahid, Djedjiga

• Digital image forgery detection using passive techniques: A survey

  Citation: 317

  Authors: Gajanan K., Vijay H.

• Bringing science to digital forensics with standardized forensic corpora

  Citation: 259

  Authors: Simson, Paul, Vassil, George

• Future challenges for smart cities: Cyber-security and digital forensics

  Citation: 211

  Authors: Zubair A., Patryk, Craig, Priya, Peter, Maxim, Mike, Paresh, Ahmed, Krishnun, Naeem, Matthew

• APK Auditor: Permission-based Android malware detection system

  Citation: 192

  Authors: Kabakus Abdullah, Dogru Ibrahim, Cetin

• Acquiring forensic evidence from infrastructure-as-a-service cloud computing: Exploring and evaluating tools, trust, and techniques

  Citation: 186

  Authors: Josiah, Alan T.

• Impacts of increasing volume of digital forensic data: A survey and future research challenges

  Citation: 182

  Authors: Darren, Kim-Kwang Raymond

• An integrated conceptual digital forensic framework for cloud computing

  Citation: 181

  Authors: Ben, Kim-Kwang Raymond