The Future of Cybercrime: AI and Emerging Technologies Are Creating a Cybercrime Tsunami

34 Pages Posted: 15 Jul 2023 Last revised: 19 Jul 2023

See all articles by Philip Treleaven

Philip Treleaven

University College London

Jeremy Barnett

University College London

Daniel Brown

University College London

Andrew Bud

iProov

Enzo Fenoglio

University College London

Charles Kerrigan

CMS London

Adriano Koshiyama

Department of Computer Science, University College London

Sally Sfeir-Tait

University College London

Martin Schoernig

University College London

Date Written: July 12, 2023

Abstract

This paper reviews the impact of AI and emerging technologies on the future of cybercrime and the necessary strategies to combat it effectively. Society faces a pressing challenge as cybercrime proliferates through AI and emerging technologies. At the same time, law enforcement and regulators struggle to keep it up. Our primary challenge is raising awareness as cybercrime operates within a distinct criminal ecosystem. We explore the hijacking of emerging technologies by criminals (CrimeTech) and their use in illicit activities, along with the tools and processes (InfoSec) to protect against future cybercrime. We also explore the role of AI and emerging technologies (DeepTech) in supporting law enforcement, regulation, and legal services (LawTech).

Keywords: artificial intelligence, cybercrime, generative ai, blockchain

Suggested Citation

Treleaven, Philip and Barnett, Jeremy and Brown, Daniel and Bud, Andrew and Fenoglio, Enzo and Kerrigan, Charles and Koshiyama, Adriano and Sfeir-Tait, Sally and Schoernig, Martin, The Future of Cybercrime: AI and Emerging Technologies Are Creating a Cybercrime Tsunami (July 12, 2023). Available at SSRN: https://ssrn.com/abstract=4507244 or http://dx.doi.org/10.2139/ssrn.4507244

Philip Treleaven

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom

Jeremy Barnett

University College London ( email )

Gower Street
London, WC1E 6BT
United Kingdom
07976292166 (Phone)

Daniel Brown

University College London

Gower Street
London, WC1E 6BT
United Kingdom

Andrew Bud

iProov

Enzo Fenoglio

University College London ( email )

United Kingdom

Charles Kerrigan

CMS London ( email )

United Kingdom

Adriano Koshiyama (Contact Author)

Department of Computer Science, University College London ( email )

Gower Street
London, London WC1E 6BT
United Kingdom

Sally Sfeir-Tait

University College London

Gower Street
London, WC1E 6BT
United Kingdom

Martin Schoernig

University College London

Gower Street
London, WC1E 6BT
United Kingdom

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