This WP will demonstrate the methodologies investigated in WP2 in the contexts of mobile-app characterization and classification and anomaly dection.

Task 3.1: Mobile-app traffic classification and prediction (with focus on popular apps in COVID-19 pandemic) [UNINA]

In this task, UNINA will demonstrate the approaches defined in WP2 in the context of mobile app traffic characterization and classification. A specific focus will be made on the most popular communication-and-collaboration apps whose usage raised during and after the COVID-19 pandemic, which represents a use-case of specific interest. Classification and prediction tasks will be tackled considering labels at different levels of granularity.

Task 3.2: Explain the anomalies [POLITO]

In this task, POLITO will demonstrate the approaches defined in WP2 in the context of anomaly detection in the honeypot use case.

DELIVERABLES:

• D3.1 [M24 - POLITO] - Summary of the results of the use cases.