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Early Detection of Depression: Social Network Analysis and Random Forest Techniques
(J M I R Publications, Inc., 2019-06-10)
[Abstract] Background: Major depressive disorder (MDD) or depression is among the most prevalent psychiatric disorders, affecting more than 300 million people globally. Early detection is critical for rapid intervention, ...
Time-Aware Detection Systems
(MDPI AG, 2019-08-05)
[Abstract] Communication network data has been growing in the last decades and with the generalisation of the Internet of Things (IoT) its growth has increased. The number of attacks to this kind of infrastructures have ...
Low Cost Automated Security Audit System
(MDPI, 2021)
[Abstract] In recent years, a quick transition towards digitization has been observed in most organizations. Along with it, certain inherent problems have appeared, such as the increase in cyber threats. Large organizations ...
Network Anomaly Detection Using Machine Learning Techniques
(MDPI AG, 2020-08-19)
[Abstract]
While traditional network security methods have been proven useful until now, the flexibility of machine learning techniques makes them a solid candidate in the current scene of our networks. In this paper, we ...
Site agnostic approach to early detection of cyberbullying on social media networks
(MDPI, 2023-05)
[Abstract]: The rise in the use of social media networks has increased the prevalence of cyberbullying, and time is paramount to reduce the negative effects that derive from those behaviours on any social media platform. ...
Early Intrusion Detection for OS Scan Attacks
(Institute of Electrical and Electronics Engineers Inc., 2019-09)
[Abstract]: Network Intrusion Detection Systems (NIDS) are concerned with the discovery of unauthorized accesses to computer networks by analyzing the traffic in order to detect malicious activity. In the event of an ...
IoT Dataset Validation Using Machine Learning Techniques for Traffic Anomaly Detection
(MDPI, 2021)
[Abstract] With advancements in engineering and science, the application of smart systems is increasing, generating a faster growth of the IoT network traffic. The limitations due to IoT restricted power and computing ...
Early Detection of Cyberbullying on Social Media Networks
(Elsevier BV, 2021-05)
[Abstract]
Cyberbullying is an important issue for our society and has a major negative effect on the victims, that can be highly damaging due to the frequency and high propagation provided by Information Technologies. ...
Network Data Flow Clustering based on Unsupervised Learning
(Institute of Electrical and Electronics Engineers Inc., 2019)
[Abstract]: Network communication data analysis is crucial in order to provide an adequate security level in computer infrastructures. As the volume of data and the number of features rise, the difficulties associated with ...
Auditoría Wi-Fi basada en placas de bajo coste
(Universidade da Coruña, 2021)
[Resumen]: En la actualidad, el uso de redes inalámbricas crece exponencialmente en entornos empresariales de todo tipo. Si bien es cierto que existen una gran cantidad de soluciones en
el ámbito de auditoría de redes ...