Next-Generation Developments in Digital Forensics and Cybersecurity

Insights from a Study Visit to the National Forensic Sciences University

Abstract

Introduction: The rapid expansion of digital technologies in the first quarter of the twenty-first century has fundamentally reshaped the nature and methods of criminal activity. The resulting threats – above all the exponential growth of cybercrimes, the proliferation of illegal activities on dark web platforms, and the increasingly widespread criminal exploitation of cryptocurrencies – pose complex challenges that can only be addressed through interdisciplinary approaches, sustained professional development, and the deployment of innovative technological solutions by law enforcement agencies.

Objectives: This study aims to document and analyse the professional experiences gathered by faculty members of the Faculty of Law Enforcement, University of Public Service, during the specialised training programme organised by the National Forensic Sciences University (NFSU) in Gandhinagar from 27 September to 4 October 2025. Particular attention is given to identifying which elements of the Indian digital forensics and cybersecurity model could be meaningfully transposed to Hungarian law enforcement practice, taking into account the domestic regulatory framework, the available technological infrastructure, and the specificities of organisational culture.

Methodology: The research draws on systematic analysis of first-hand empirical experiences gathered throughout the training programme. Participatory observation, professional consultations with NFSU faculty, and insights from lectures and laboratory demonstrations collectively enabled an in-depth examination of cutting-edge developments in forensic sciences, cybersecurity, and criminology. This approach simultaneously provided the analytical foundation for a comparative assessment of the Indian model's applicability within the Hungarian law enforcement context.

Results: The study visit brought to light technological solutions spanning multiple domains of law enforcement innovation: from the application of artificial intelligence in predictive policing and the investigation of dark web and cryptocurrency-related crimes, through mobile forensics methodologies and three-dimensional crime scene documentation, to brain mapping and polygraph-based examination techniques. India's model of technological self-reliance – in particular the Make in India and Make for India initiatives – offers instructive lessons for planning domestic developments. The training's key findings indicate that restricting PowerShell usage, introducing Faraday bags, integrating OSINT tools, and deploying AI for predictive policing each hold considerable development potential for Hungarian law enforcement.

Conclusion: The study visit confirmed that Hungarian law enforcement has substantial room for advancement in digital forensics and cybersecurity, the realisation of which requires strategic planning, interdisciplinary collaboration, and targeted technological investment. Pursuing technological self-reliance should be treated as a strategic priority; favouring ethical AI applications and open-source tools offers a more sustainable and adaptable long-term solution. Future partnership with NFSU – through joint research projects, student exchange programmes, and collaborative development of forensic tools – holds the promise of mutual benefit for both institutions.