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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 ...
Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors
(MDPI AG, 2020-07-04)
[Abstract]
The relative simplicity of IoT networks extends service vulnerabilities and possibilities to different network failures exhibiting system weaknesses. Therefore, having a dataset with a sufficient number of ...
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 ...
Time Aware F-Score for Cybersecurity Early Detection Evaluation
(MDPI, 2024-01)
[Abstract]: With the increase in the use of Internet interconnected systems, security has become of utmost importance. One key element to guarantee an adequate level of security is being able to detect the threat as soon ...
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 ...
Application of machine learning algorithms for the validation of a new CoAP-IoT anomaly detection dataset
(MDPI, 2023-04)
[Abstract]: With the rise in smart devices, the Internet of Things (IoT) has been established as one of the preferred emerging platforms to fulfil their need for simple interconnections. The use of specific protocols such ...
Measuring Early Detection of Anomalies
(IEEE, 2022)
[Abstract] Early detection is a matter of growing importance in multiple domains as network security, health conditions over social network services or weather forecasts related disasters. It is not enough to make a good ...
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. ...
Gaia Data Release 3: Catalogue validation
(EDP Sciences, 2023-06)
[Abstract]: Context. The third Gaia data release (DR3) provides a wealth of new data products. The early part of the release, Gaia EDR3, already provided the astrometric and photometric data for nearly two billion sources. ...