Advanced Techniques for Preventing Thermal Imaging Attacks

Alotaibi, N. , Islam, M. S., Marky, K. and Khamis, M. (2022) Advanced Techniques for Preventing Thermal Imaging Attacks. In: 27th International Conference on Intelligent User Interfaces (IUI '22), 21-25 Mar 2022, pp. 18-21. ISBN 9781450391450 (doi: 10.1145/3490100.3516472)

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Thermal cameras can be used to detect user input on interfaces, such as touchscreens, keyboards, and PIN pads, by recording the heat traces left by the users’ fingers after interaction (e.g., typing a message or entering a PIN) and using them to reconstruct the input. While previous work mitigated the thermal attacks by complicating input or distorting heat traces, our research is the first to propose preventing thermal attack using deep learning (DL) techniques to prevent malicious use of thermal cameras. Our DL models detect interfaces in the thermal camera feed and then obfuscate heat traces on them. Our preliminary findings show that the proposed framework can detect interfaces and eliminate authentication information from thermal images. At the same time, our methods still reveal if an interface has been interacted with. Thus, our approach improves security without impacting the utility of the thermal camera.

Item Type:Conference Proceedings
Additional Information:This work has been supported by the PETRAS National Centre of Excellence for IoT Systems Cybersecurity, which has been funded by the UK EPSRC under grant number EP/S035362/1, an EPSRC New Investigator award (EP/V008870/1), Taif University and Royal Embassy of Saudi Arabia Cultural Bureau in London, and the Royal Society of Edinburgh (Award number 65040).
Glasgow Author(s) Enlighten ID:Marky, Dr Karola and Alotaibi, Norah Mohsen T and Islam, Mr Md Shafiqul and Khamis, Dr Mohamed
Authors: Alotaibi, N., Islam, M. S., Marky, K., and Khamis, M.
College/School:College of Science and Engineering > School of Computing Science
Copyright Holders:Copyright © 2022 The Authors
First Published:First published in 27th International Conference on Intelligent User Interfaces (IUI '22): 18-21
Publisher Policy:Reproduced in accordance with the publisher copyright policy
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Project CodeAward NoProject NamePrincipal InvestigatorFunder's NameFunder RefLead Dept
310627TAPS: Assessing, Mitigating and Raising Awareness of the Security and Privacy Risks of Thermal ImagingMohamed KhamisEngineering and Physical Sciences Research Council (EPSRC)EP/V008870/1Computing Science
309501RSE EnterpriseMohamed KhamisThe Royal Society of Edinburgh (ROYSOCED)65040Computing Science
313490Preventing THErmal ATtacks using AI-driven ApproachesMohamed KhamisEngineering and Physical Sciences Research Council (EPSRC)5676417 -PETRASComputing Science