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Evaluating Features Selection on NSL-KDD Data-Set to Train a Support Vector Machine-Based Intrusion Detection System
(Institute of Electrical and Electronics Engineers Inc., 2019)
The integrity of information and services is one of the more evident concerns in the world of global information security, due to the fact that it has economic repercussions on the digital industry. For this reason, big ...
A machine learning model for emotion recognition from physiological signals
(Elsevier Ltd, 2020)
Emotions are affective states related to physiological responses. This study proposes a model for recognition of three emotions: amusement, sadness, and neutral from physiological signals with the purpose of developing a ...
SIDS-DDoS, a Smart Intrusion Detection System for Distributed Denial of Service Attacks
(Springer, 2020)
In the last few years, the Digital Services industry has grown tremendously, offering numerous services through the Internet and using a recent concept or business model called cloud computing. For this reason, new threats ...
Data-driven framework for the detection of non-technical losses in distribution grids
(2020-12-24)
Non-technical losses (NTL) occurring in the electric grid, particularly at the distribution level may cause a negative impact on utilities' interest, paying consumers and states. Reducing NTL can increase revenue, profit, ...