R
Ryan Heartfield
Researcher at University of Greenwich
Publications - 21
Citations - 668
Ryan Heartfield is an academic researcher from University of Greenwich. The author has contributed to research in topics: Computer science & Cyber-physical system. The author has an hindex of 9, co-authored 20 publications receiving 405 citations.
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Cloud-Based Cyber-Physical Intrusion Detection for Vehicles Using Deep Learning
TL;DR: A mathematical model is developed to determine when computation offloading is beneficial given parameters related to the operation of the network and the processing demands of the deep learning model, and the more reliable the network, the greater the reduction in detection latency achieved through offloading.
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A Taxonomy of Attacks and a Survey of Defence Mechanisms for Semantic Social Engineering Attacks
Ryan Heartfield,George Loukas +1 more
TL;DR: A taxonomy of semantic attacks, as well as a survey of applicable defences, is presented, contrasting the threat landscape and the associated mitigation techniques in a single comparative matrix to identify the areas where further research can be particularly beneficial.
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A taxonomy of cyber-physical threats and impact in the smart home
Ryan Heartfield,George Loukas,Sanja Budimir,Anatolij Bezemskij,Johnny R. J. Fontaine,Avgoustinos Filippoupolitis,Etienne B. Roesch +6 more
TL;DR: This work classifies applicable cyber threats according to a novel taxonomy, focusing not only on the attack vectors that can be used, but also the potential impact on the systems and ultimately on the occupants and their domestic life.
Journal ArticleDOI
You Are Probably Not the Weakest Link: Towards Practical Prediction of Susceptibility to Semantic Social Engineering Attacks
TL;DR: It is observed that security training makes a noticeable difference in a user's ability to detect deception attempts, with one of the most important features being the time since last self-study, while formal security education through lectures appears to be much less useful as a predictor.
Journal ArticleDOI
Detecting semantic social engineering attacks with the weakest link: Implementation and empirical evaluation of a human-as-a-security-sensor framework
Ryan Heartfield,George Loukas +1 more
TL;DR: The results strongly point towards the need to actively involve the user not only in prevention through cyber hygiene and user-centric security design, but also in active cyber threat detection and reporting.