Combining unsupervised approaches for near real-time network traffic anomaly detection

F Carrera, V Dentamaro, S Galantucci, A Iannacone… - Applied Sciences, 2022 - mdpi.com
The 0-day attack is a cyber-attack based on vulnerabilities that have not yet been published.
The detection of anomalous traffic generated by such attacks is vital, as it can represent a …

Landscape and Taxonomy of Online Parser-Supported Log Anomaly Detection Methods

S Lupton, H Washizaki, N Yoshioka… - IEEE Access, 2024 - ieeexplore.ieee.org
As production system estates become larger and more complex, ensuring stability through
traditional monitoring approaches becomes more challenging. Rule-based monitoring is …

Phase I analysis of nonlinear profiles using anomaly detection techniques

CS Cheng, PW Chen, YT Wu - Applied Sciences, 2023 - mdpi.com
In various industries, the process or product quality is evaluated by a functional relationship
between a dependent variable y and one or a few input variables x, expressed as y= fx. This …

Threat Detection Framework Based on Industrial Internet of Things Logs

S Zhang, Y Wang, X Su - IEEE Access, 2024 - ieeexplore.ieee.org
The industrial Internet of Things logs capture the status and events of industrial Internet of
Things systems and provide a valuable source for identifying potential threats. However …

[PDF][PDF] Development of an Ensemble Modeling Framework for Data Analytics in Supply Chain Management

C Udokwu, R Zimmermann, P Brandtner… - Journal of Advances in …, 2023 - jait.us
Chain Management (SCM) provides a plethora of opportunities for improving the
performance, efficiency, and resilience of organizations by predicting the behaviour of the …

[PDF][PDF] A Federated Learning System with Biometric Medical Image Authentication for Alzheimer's Diagnosis.

F Castro, D Impedovo, G Pirlo - ICPRAM, 2024 - scitepress.org
There are concerns within the medical/scientific community about the use of machine
learning models for disease diagnosis from medical images. The causes are related not only …

A biometric-based system for unsupervised anomaly behaviour detection at the pawn shop

G Abbattista, M Chimienti, V Dentamaro… - Cyber-Physical …, 2023 - Taylor & Francis
This article shows a system performing re-identification and description of people entering
different stores of the same franchise by means of Face Recognition, Gait Analysis, and Soft …

AI-Based Clinical Decision Support Tool on Mobile Devices for Neurodegenerative Diseases

AD Loiotile, V Dentamaro, P Giglio… - IFIP Conference on …, 2021 - Springer
Recently, the role of AI in the development of eHealth is becoming increasingly ambitious
since AI is allowing the development of whole new healthcare areas. In many cases, AI …

[PDF][PDF] Explainable Gait Analysis for Early Detection of Neurodegenerative Diseases Using Unsupervised Clustering Techniques

V Dentamaro, F Franchini, I Massaro, L Musti, G Pirlo… - researchgate.net
Neurodegenerative diseases are the most frequent age-related diseases. It is crucial to be
able to detect this type of disease at an early stage so that early intervention can take place …