Digital Watermarking for enriched video streams in edge computing architectures using chaotic mixtures and Physical Unclonable Functions

Abstract

Authentication in advanced video applications is a pending challenge, specially in those scenarios where video streams are enriched with additional information from sensors and other similar devices. Traditional solutions require remote devices (such as cameras) to store private keys, a situation that has been proved to be very risky. On the other hand, standard authentication methods, such as digital signatures or secure sessions, prevent systems to operate at real-time, as they are very computationally costly operations which, besides, are designed to work with information blocks, not with streams. Other solutions, furthermore, require the integration of gateways or aggregation points in video infrastructures, which creates bottlenecks and difficulties the dynamic adaptation of systems to the environmental conditions and devices? lifecycle. Therefore, in this paper, we address this problem by proposing an authentication procedure based on digital watermarking. In our proposal, video infrastructures are organized as edge computing architectures, where enriched video streams are protected by watermarks and devices may delegate functionalities dynamically. This new watermarking technology is based on chaotic mixtures and secret keys provided by Physical Unclonable Functions. In order to evaluate the performance of the proposed solution an experimental validation is also carried out.