A Multidimensional Framework for Utilizing Big Data Analytics and AI in Strengthening Digital Forensics and Cybersecurity Investigations

Abstract

The proliferation of digital technologies and the corresponding surge in cyber threats have amplified the necessity for robust and efficient cybersecurity and digital forensics frameworks. This paper proposes a multidimensional framework for integrating Big Data Analytics (BDA) and Artificial Intelligence (AI) to strengthen digital forensics and cybersecurity investigations. With cybercrime growing both in scale and sophistication, traditional methodologies in these fields struggle to keep pace. Big Data Analytics enables real-time analysis of massive datasets, providing actionable insights, while AI facilitates advanced pattern recognition, predictive analytics, and anomaly detection. The proposed framework leverages the synergies between BDA and AI to address challenges such as handling large volumes of heterogeneous data, detecting zero-day vulnerabilities, and reducing investigation times. Key components of the framework include data preprocessing, AI-enhanced forensic models, automated incident response systems, and a layered cybersecurity infrastructure. This paper explores the technical, ethical, and operational dimensions of implementing such a framework, emphasizing the need for interdisciplinary collaboration and adherence to regulatory standards. The framework’s scalability, adaptability, and potential for real-time threat mitigation make it an indispensable tool for law enforcement agencies, cybersecurity professionals, and digital forensic investigators.