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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 ...
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. ...
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 ...
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 ...
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. ...
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 ...