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

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 sea...

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Main Authors: Alemayehu, Mikiyas, Araujo, Istteffanny Isloure, Chrysikos, Alexandros
Format: Conference or Workshop Item
Language:English
Published: 2024
Subjects:
Online Access:https://repository.londonmet.ac.uk/9642/1/033__CRC%20copy.pdf
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author Alemayehu, Mikiyas
Araujo, Istteffanny Isloure
Chrysikos, Alexandros
author_facet Alemayehu, Mikiyas
Araujo, Istteffanny Isloure
Chrysikos, Alexandros
author_sort Alemayehu, Mikiyas
collection LMU
description 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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institution London Metropolitan University
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spelling oai:repository.londonmet.ac.uk:96422025-01-08T09:34:21Z https://repository.londonmet.ac.uk/9642/ Enhancing digital forensic analysis for locating missing persons: multimodal data integration Alemayehu, Mikiyas Araujo, Istteffanny Isloure Chrysikos, Alexandros 000 Computer science, information & general works 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. 2024-05-13 Conference or Workshop Item PeerReviewed text en https://repository.londonmet.ac.uk/9642/1/033__CRC%20copy.pdf 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)
spellingShingle 000 Computer science, information & general works
Alemayehu, Mikiyas
Araujo, Istteffanny Isloure
Chrysikos, Alexandros
Enhancing digital forensic analysis for locating missing persons: multimodal data integration
title Enhancing digital forensic analysis for locating missing persons: multimodal data integration
title_full Enhancing digital forensic analysis for locating missing persons: multimodal data integration
title_fullStr Enhancing digital forensic analysis for locating missing persons: multimodal data integration
title_full_unstemmed Enhancing digital forensic analysis for locating missing persons: multimodal data integration
title_short Enhancing digital forensic analysis for locating missing persons: multimodal data integration
title_sort enhancing digital forensic analysis for locating missing persons multimodal data integration
topic 000 Computer science, information & general works
url https://repository.londonmet.ac.uk/9642/1/033__CRC%20copy.pdf
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