Enhancing digital forensic analysis for locating missing persons: multimodal data integration

Alemayehu, Mikiyas, Araujo, Istteffanny Isloure and Chrysikos, Alexandros (2024) Enhancing digital forensic analysis for locating missing persons: multimodal data integration. In: 12th International Conference on Frontiers of Intelligent Computing: Theory and Applications (FICTA-2024) June 06 - 07, 2024, 6-7 June 2024, London Metropolitan University, London (UK) / Online. (In Press)

Abstract

This paper presents a framework for enhancing digital forensics to aid a missing person by integrating multimodal data such as location history, social media analysis, eyewitness testimony, mobile phone, and computer data. This approach focuses on creating comprehensive profiling to speed up the search process. Utilising multimodal data integration offers new avenues for enhancing the effectiveness of the investigation process. Through advanced analytical approaches and ethical considerations, this framework seeks to provide safety to the missing persons and closure to their loved ones and law enforcement.

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