|
|
|
|
|
Darja Cirjulina, Ruslans Babajans, Filips Capligins, Deniss Kolosovs and Anna Litvinenko
This manuscript presents an experimental study of Quadrature Chaos Shift Keying (QCSK) as a means to tighten the physical layer security of Internet of Things (IoT) communication. Our study examines the characteristics and operational aspects of chaos os...
ver más
|
|
|
|
|
|
|
|
|
Dimitrios Noitsis, Georgia A. Beletsioti, Anastasios Valkanis, Konstantinos Kantelis, Georgios Papadimitriou and Petros Nicopolitidis
Traffic on backbone communication networks is growing significantly every year. This results in an increase in both energy consumption and the carbon footprint they leave on the environment. As a response, research efforts are focused on reducing energy ...
ver más
|
|
|
|
|
|
|
|
|
Georgios M. Nikolopoulos and Marc Fischlin
Quantum key distribution protocols allow two honest distant parties to establish a common truly random secret key in the presence of powerful adversaries, provided that the two users share a short secret key beforehand. This pre-shared secret key is used...
ver más
|
|
|
|
|
|
|
|
|
Jin Li, Tao Han, Wenyang Guan and Xiaoqin Lian
With the development and popularization of Intelligent Transportation Systems (ITS), Vehicle Ad-Hoc Networks (VANETs) have attracted extensive attention as a key technology. In order to achieve real-time monitoring, VANET technology enables vehicles to c...
ver más
|
|
|
|
|
|
|
|
|
Changhao Wu, Siyang He, Zengshan Yin and Chongbin Guo
Large-scale low Earth orbit (LEO) remote satellite constellations have become a brand new, massive source of space data. Federated learning (FL) is considered a promising distributed machine learning technology that can communicate optimally using these ...
ver más
|
|
|
|