Jacopo Talpini

Università degli Studi di Milano-Bicocca | UNIMIB · Department of Informatics, Systems and Communication (DISCo)

A crucial role in the security of modern networks is played by Intrusion Detection Systems (IDSs), security devices designed to identify and mitigate attacks to networks structure. Data-driven approaches based on Machine Learning (ML) have gained more and more popularity for executing the classification tasks required by signature-based IDSs. Howev...

The evolution of Internet and its related communication technologies have consistently increased the risk of cyber-attacks. In this context, a crucial role is played by Intrusion Detection Systems (IDSs), which are security devices designed to identify and mitigate attacks to modern networks. In the last decade, data-driven approaches based on Mach...

Knowledge diversity is becoming an important research topic in many fields, and assessing it can be useful for many purposes in many domains. In this paper, we present a first attempt to model knowledge diversity in intrusion detection field. IT attacks can be modelled through different techniques; in this way they can be evaluated for their risk a...

This paper describes the Diet module of the PERCIVAL project, that aims at improving the quality of life (QoL) of patients affected by chronic diseases through the promotion, sharing, deliberation and monitoring of decisions about their different aspects among all the actors involved. The module is composed of two Android apps developed according t...

The Internet of Things (IoT) is growing rapidly and so the need of ensuring protection against cybersecurity attacks to IoT devices. In this scenario, Intrusion Detection Systems (IDSs) play a crucial role and data-driven IDSs based on machine learning (ML) have recently attracted more and more interest by the research community. While conventional...

We consider the problem of forecasting the Quality-of-Transmission (QoT) of deployed lightpaths in a Wavelength Division Multiplexing (WDM) optical network. QoT forecasting plays a determinant role in network management and planning, as it allows network operators to proactively plan maintenance or detect anomalies in a lightpath. To this end, we l...

The Internet of Things (IoT) is growing rapidly and so the need of ensuring protection against cybersecurity attacks to IoT devices. In this scenario, Intrusion Detection Systems (IDSs) play a crucial role and data-driven IDSs based on machine learning (ML) have recently attracted more and more interest by the research community. While conventional...

This paper describes the Diet module of the PERCIVAL project, that aims at improving the quality of life (QoL) of patients affected by chronic diseases through the promotion, sharing, deliberation and monitoring of decisions about their different aspects among all the actors involved. The module is composed of two Android apps developed according t...

Personalization is an important factor to increase the user experience (UX) and effectiveness of mHealth solutions. In this paper, we present an innovative approach to the personalization of mHealth apps. A profiling function has been developed based on the physical and psychological characteristics of users, with the final aim to cluster them acti...