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Semantic communication-based detection of False Data Injection Attacks in 6G-enabled smart grids

The increasing integration of advanced communication technologies in smart grids, particularly in the context of emerging 6G networks, exposes power systems to sophisticated cyber–physical threats such as False Data Injection Attacks (FDIAs). These attacks can bypass conventional detection mechanisms by introducing subtle yet contextually inconsistent data manipulations. Most existing FDIA detection approaches rely on statistical residual analysis or purely data-driven learning models, which ...

Robust and energy-aware detection of Mirai botnet for future 6G-enabled IoT networks

Next-generation IoT wireless communication systems emphasise the importance and urgent need for energy-efficient security measures, thus requiring a balanced approach to address growing security vulnerabilities and fulfil energy demands in advanced wireless communication networks. However, the evolution of 6G networks and their integration with advanced technologies will revolutionise the IoT ecosystem while simultaneously introducing new security threats such as the Mirai malware, which targ...

Matrix completion of world trade: an analysis of interpretability through Shapley values

Economic complexity and machine learning have recently become popular approaches for analysing international trade. However, for effective use of machine learning in relation to economic complexity and policymaking, it is important to understand what are the key features for predictions. In this framework, this article addresses the issue of the interpretability of results obtained with a machine learning technique—namely, matrix completion—when applied to economic complexity, specifically in...

tDCS over posterior parietal cortex increases cortical excitability but decreases learning: an ERPs and TMS-EEG study

The application of anodal transcranial direct current stimulation (AtDCS) is generally associated with increased neuronal excitability and enhanced cognitive functioning. Nevertheless, previous work showed that applying this straight reasoning does not always lead to the desired results at behavioural level. Here, we investigated electrophysiological markers of AtDCS-mediated effects on visuo-spatial contextual learning (VSCL). In order to assess cortical excitability changes after 3 mA AtDCS...

Integrating TMS, EEG, and MRI as an approach for studying brain connectivity

The human brain is a complex network in which hundreds of brain regions are interconnected via thousands of axonal pathways. The capability of such a complex system emerges from specific interactions among smaller entities, a set of events that can be described by the activation of interconnections between brain areas. Studies that focus on brain connectivity have the aim of understanding and modeling brain function, taking into account the spatiotemporal dynamics of neural communication betw...

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