G
George Loukas
Researcher at University of Greenwich
Publications - 87
Citations - 2241
George Loukas 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 22, co-authored 80 publications receiving 1542 citations. Previous affiliations of George Loukas include Imperial College London.
Papers
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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 and survey of attacks against machine learning
Nikolaos Pitropakis,Emmanouil Panaousis,Thanassis Giannetsos,Eleftherios Anastasiadis,George Loukas +4 more
TL;DR: The proposed taxonomy makes it easier to understand the existing attack landscape towards developing defence mechanisms, and is leveraged to identify open problems that can lead to new research areas within the field of adversarial machine learning.
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A self-aware approach to denial of service defence
Erol Gelenbe,George Loukas +1 more
TL;DR: An autonomic approach to DoS defence based on detecting DoS flows, and adaptively dropping attacking packets upstream from the node being attacked using trace-back of the attacking flows is proposed.
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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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Blockchain-Based Mobile Edge Computing Framework for Secure Therapy Applications
Md. Abdur Rahman,M. Shamim Hossain,George Loukas,Elham Hassanain,Syed Sadiqur Rahman,Mohammed F. Alhamid,Mohsen Guizani +6 more
TL;DR: An in-home therapy management framework, which leverages the IoT nodes and the blockchain-based decentralized MEC paradigm to support low-latency, secure, anonymous, and always-available spatiotemporal multimedia therapeutic data communication within an on-demand data-sharing scenario.