SoK: Exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation

Xiaoyu Du, Chris Hargreaves, John Sheppard, Felix Anda, Asanka Sayakkara, Nhien An Le-Khac, Mark Scanlon

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

8 Citations (Scopus)

Abstract

Multi-year digital forensic backlogs have become commonplace in law enforcement agencies throughout the globe. Digital forensic investigators are overloaded with the volume of cases requiring their expertise compounded by the volume of data to be processed. Artificial intelligence is often seen as the solution to many big data problems. This paper summarises existing artificial intelligence based tools and approaches in digital forensics. Automated evidence processing leveraging artificial intelligence based techniques shows great promise in expediting the digital forensic analysis process while increasing case processing capacities. For each application of artificial intelligence highlighted, a number of current challenges and future potential impact is discussed.

Original languageEnglish
Title of host publicationProceedings of the 15th International Conference on Availability, Reliability and Security, ARES 2020
PublisherAssociation for Computing Machinery (ACM)
ISBN (Electronic)9781450388337
DOIs
Publication statusPublished - 25 Aug 2020
Event15th International Conference on Availability, Reliability and Security, ARES 2020 - Virtual, Online, Ireland
Duration: 25 Aug 202028 Aug 2020

Publication series

NameACM International Conference Proceeding Series

Conference

Conference15th International Conference on Availability, Reliability and Security, ARES 2020
Country/TerritoryIreland
CityVirtual, Online
Period25/08/202028/08/2020

Keywords

  • Deep learning
  • Digital forensics
  • Machine learning

Fingerprint

Dive into the research topics of 'SoK: Exploring the state of the art and the future potential of artificial intelligence in digital forensic investigation'. Together they form a unique fingerprint.

Cite this