Human-centric artificial intelligence enabled digital images and videos forensic triage

Li, Shancang and Liu, Yifan 2023. Human-centric artificial intelligence enabled digital images and videos forensic triage. Presented at: IEEE 2023 International Conference on Human-Centered Cognitive Systems (HCCS), Cardiff, UK, 16 December 2023. Proceedings of International Conference on Human-Centered Cognitive Systems. IEEE, pp. 1-5. 10.1109/HCCS59561.2023.10452651

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Abstract

Digital forensics and incident response (DFIR) involve huge volume of data collected from digital systems that requires investigators to quickly sift through and prioritise relevant evidence. The forensics investigator team faces many challenges when analysing the processes to keep them on target and improve them. A lack of a systematic approach to data analysis can lead to slower decision-making. This work aims to enhance the effectiveness and efficiency in forensics analysis using human-centric artificial intelligence (HAI) enabled data triage. Specifically, an image and video triage was proposed that can significantly speed up the investigation and identify highly related evidence items from huge volume of images and videos.

Item Type:	Conference or Workshop Item (Paper)
Date Type:	Publication
Status:	Published
Schools:	Computer Science & Informatics
Publisher:	IEEE
ISBN:	9798350359190
Date of First Compliant Deposit:	22 January 2024
Date of Acceptance:	6 December 2023
Last Modified:	08 May 2024 13:34
URI:	https://orca.cardiff.ac.uk/id/eprint/165728

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