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Jason R. C. Nurse

Researcher at University of Kent

Publications -  197
Citations -  3776

Jason R. C. Nurse is an academic researcher from University of Kent. The author has contributed to research in topics: Computer science & The Internet. The author has an hindex of 28, co-authored 180 publications receiving 2608 citations. Previous affiliations of Jason R. C. Nurse include University of Warwick & University of Oxford.

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Cyber Security in the Age of COVID-19: A Timeline and Analysis of Cyber-Crime and Cyber-Attacks during the Pandemic

TL;DR: The analysis shows how following what appeared to be large gaps between the initial outbreak of the pandemic in China and the first COVID-19 related cyber-attack, attacks steadily became much more prevalent to the point that on some days, three or four unique cyber-attacks were being reported.
Posted Content

Cyber Security Awareness Campaigns: Why do they fail to change behaviour?

TL;DR: In this article, the authors focus on Cyber Security Awareness Campaigns, and identify key factors regarding security which may lead them to failing to appropriately change people's behaviour, and review the suitability of persuasion techniques, including the widely used "fear appeals".
Proceedings ArticleDOI

Understanding Insider Threat: A Framework for Characterising Attacks

TL;DR: This work proposes a novel conceptualisation that is heavily grounded in insider-threat case studies, existing literature and relevant psychological theory and can act as a platform for general understanding of the threat, and also for reflection, modelling past attacks and looking for useful patterns.
Journal ArticleDOI

A taxonomy of cyber-harms: Defining the impacts of cyber-attacks and understanding how they propagate

TL;DR: In this paper, a taxonomy of cyber-harms encountered by organisations is presented, which comprises five broad themes: physical or digital harm, economic harm, psychological harm, reputational harm, and social and societal harm.
Journal ArticleDOI

Security Risk Assessment in Internet of Things Systems

TL;DR: The case for new methodologies to assess risk in this context that consider the dynamics and uniqueness of the IoT while maintaining the rigor of best practice in risk assessment is made.