Adaptation for scalable video is one of the recent challenges in video distribution over modern networks, which are heterogeneous both in terms of available bandwidth and user end terminal capability. Scalable Video Coding offers the possibility to adapt the content following the "quality layer" abstraction. In this work we present a new method to optimally define quality layers using Integer Linear Programming and distortion models. The performances of the proposed approach are comparable with the state-of-the-art methods, but they are obtained with strong complexity reduction and augmented flexibility.

The TLS 1.3 specifications are subject to change before the final release, and there are still details to be clarified, but yet some directions have been stated. In the IoT scenario, where devices are constrained, it is important and critical that the added security benefits of the new TLS 1.3 does not increase complexity and power consumption significantly compared to TLS 1.2. This paper provides an overview of the novelties introduced in TLS 1.3 draft finalized to improve security and latency of the protocol: the reworked handshake flows and the newly adopted cryptographic algorithms are analyzed and compared in terms of security and latency to the current TLS in use. In particular, the analysis is focused on performance and memory requirements overhead introduced by the TLS 1.3 current specifications, and the final section reports simulation results of a commercial cryptographic library running on a low end device with an STM32 microcontroller.

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