Physical Integrity Attack Detection of Surveillance Camera with Deep Learning based Video Frame Interpolation

This research looks how the use of deep learning algorithms to detect attacks on Cyber Physical System, such as surveillance cameras, originating from physical or cyber space. Surveillance cameras, a form of Cyber Physical System, are used extensively for security operations. However, they are often subject to attacks both physically (the device) and cyberlly (the software). When the system is tampered, operational effectiveness is affected. This research proposes the use of deep-learning based video frame interpolation to detect attacks on the Cyber Physical System, which has comparatively better performance to other anomaly detectors in spatiotemporal environments.
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