Odeleye, Blessing, Loukas, George ORCID: https://orcid.org/0000-0003-3559-5182, Heartfield, Ryan and Spyridonis, Fotios ORCID: https://orcid.org/0000-0003-4253-365X (2021) Detecting framerate-oriented cyber attacks on user experience in virtual reality. In: VR4Sec: 1st International Workshop on Security for XR and XR for Security. VR4Sec.

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Abstract

Virtual Reality (VR) is expected to become an enabling technology for training in realistic conditions, data visualisation, education and many other applications. However, there is still limited research on cyber threats to VR environments and even less on technical protections against them. We are currently developing a VR testbed specifically designed for assessing different cyber threats, their impact to user experience and corresponding defences. In this work in progress, we demonstrate two novel approaches by which a cyber attack can potentially cause VR sickness on demand based on frame rate manipulation by taking advantage of GPU and network vulnerabilities. We further show that a simple unsupervised machine learning method using Isolation Forest can provide early warning of such attacks likely before they have significant impact on the VR system and its user.

Item Type:	Conference Proceedings
Title of Proceedings:	VR4Sec: 1st International Workshop on Security for XR and XR for Security
Uncontrolled Keywords:	Virtual reality, cyber security, intrusion detection
Subjects:	Q Science > QA Mathematics > QA75 Electronic computers. Computer science Z Bibliography. Library Science. Information Resources > ZA Information resources > ZA4050 Electronic information resources
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science > Internet of Things and Security Research Centre (ISEC) Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS) Faculty of Engineering & Science
Related URLs:	Publisher
Last Modified:	04 Mar 2022 13:06
URI:	http://gala.gre.ac.uk/id/eprint/33194

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