دورية أكاديمية
Automated Planning to Prioritise Digital Forensics Investigation Cases Containing Indecent Images of Children
| العنوان: | Automated Planning to Prioritise Digital Forensics Investigation Cases Containing Indecent Images of Children |
|---|---|
| المؤلفون: | Khan, Saad, Parkinson, Simon, Roopak, Monika, Armitage, Rachel, Barlow, Andrew |
| المساهمون: | Koenig, Sven, Stern, Roni, Vallati, Mauro |
| المصدر: | Khan , S , Parkinson , S , Roopak , M , Armitage , R & Barlow , A 2023 , Automated Planning to Prioritise Digital Forensics Investigation Cases Containing Indecent Images of Children . in S Koenig , R Stern & M Vallati (eds) , Proceedings of the Thirty-third International Conference on Automated Planning and Scheduling : (ICAPS 2023) . 1 edn , vol. 33 , Proceedings of the International Conference on Automated Planning and Scheduling , no. 1 , vol. 33 , AAAI press , pp. 500-508 , 33rd International Conference on Automated Planning and Scheduling , .... |
| بيانات النشر: | AAAI press |
| سنة النشر: | 2023 |
| الوصف: | Law enforcement agencies (LEAs) globally are facing high demand to view, process, and analyse digital evidence. Arrests for Indecent Images of Children (IIOC) have risen by a factor of 25 over the previous decade. A case typically requires the use of computing resources for between 2-4 weeks. The lengthy time is due to the sequential ordering of acquiring a forensically sound copy of all data, systematically extracting all images, before finally analysing each to automatically identify instances of known IIOC images (second-generation) or manually identifying new images (first-generation). It is therefore normal practice that an understanding of the image content is only obtained right at the end of the investigative process. A reduction in processing time would have a transformative impact, by enabling timely identification of victims, swift intervention with perpetrators to prevent re-offending, and reducing the traumatic psychological effects of any ongoing investigation for the accused and their families. In this paper, a new approach to the digital forensic processes containing suspected IIOC content is presented, whereby in-process metrics are used to prioritise case handling, ensuring cases with a high probability of containing IIOC content are prioritised. The use of automated planning (AP) enables a systematic approach to case priorisation. In this paper, a planning approach is presented where AP is used to generate investigative actions in 60-minute segments, before re-planning to account for discoveries made during the execution of planned actions. A case study is provided consisting of 5 benchmark cases, demonstrating on average a reduction of 36% in processing time and a 26% reduction in time required to discover IIOC content. |
| نوع الوثيقة: | article in journal/newspaper |
| وصف الملف: | application/pdf |
| اللغة: | English |
| DOI: | 10.1609/icaps.v33i1.27230 |
| الإتاحة: | https://doi.org/10.1609/icaps.v33i1.27230Test https://pure.hud.ac.uk/en/publications/b9ef3a26-6548-4d86-afd6-bd6b32a1445fTest https://pure.hud.ac.uk/ws/files/58234975/Accepted_paper.pdfTest http://www.scopus.com/inward/record.url?scp=85169780060&partnerID=8YFLogxKTest |
| حقوق: | info:eu-repo/semantics/openAccess |
| رقم الانضمام: | edsbas.27F1F347 |
| قاعدة البيانات: | BASE |
| DOI: | 10.1609/icaps.v33i1.27230 |
|---|