Carsten Maple

TL;DR: The analysis shows how following what appeared to be large gaps between the initial outbreak of the pandemic in China and the first COVID-19 related cyber-attack, attacks steadily became much more prevalent to the point that on some days, three or four unique cyber-attacks were being reported.

TL;DR: A comprehensive survey of challenges of localization in non-line-of-sight, node selection criteria for localization in energy-constrained network, scheduling the sensor node to optimize the tradeoff between localization performance and energy consumption, cooperative node localization, and localization algorithm in heterogeneous network is presented.

TL;DR: The evolution of the IoT, its various definitions, and some of its key application areas are discussed, both generally and in the context of these applications.

TL;DR: In this paper, a semi-asynchronous federated learning (SAFA) protocol is proposed to mitigate the impacts of straggglers, crashes and model staleness in order to boost efficiency and improve the quality of the global model.

TL;DR: An overview of security challenges in IoT enabled cyber-physical systems and what evolutionary computation and other computational intelligence technology could contribute for the challenges is provided.