627 citations · 641 across the 5 of their papers we have counts for
9 papers
z-anonymity: Zero-Delay Anonymization for Data Streams
Nikhil Jha, Thomas Favale, Luca Vassio +2
With the advent of big data and the birth of the data markets that sell personal information, individuals' privacy is of utmost importance. The classical response is anonymization,…
RL-IoT: Reinforcement Learning to Interact with IoT Devices
Giulia Milan, Luca Vassio, Idilio Drago +1
Our life is getting filled by Internet of Things (IoT) devices. These devices often rely on closed or poorly documented protocols, with unknown formats and semantics. Learning how…
Campus Traffic and e-Learning during COVID-19 Pandemic
Thomas Favale, Francesca Soro, Martino Trevisan +2
The COVID-19 pandemic led to the adoption of severe measures to counteract the spread of the infection. Social distancing and lockdown measures modifies people's habits, while the…
EXPLAIN-IT: Towards Explainable AI for Unsupervised Network Traffic Analysis
Andrea Morichetta, Pedro Casas, Marco Mellia
The application of unsupervised learning approaches, and in particular of clustering techniques, represents a powerful exploration means for the analysis of network measurements. D…
A Survey on Big Data for Network Traffic Monitoring and Analysis
Alessandro D'Alconzo, Idilio Drago, Andrea Morichetta +2
Network Traffic Monitoring and Analysis (NTMA) represents a key component for network management, especially to guarantee the correct operation of large-scale networks such as the…
IPPO: A Privacy-Aware Architecture for Decentralized Data-sharing
Maurizio Aiello, Enrico Cambiaso, Roberto Canonico +4
Online trackers personalize ads campaigns, exponentially increasing their efficacy compared to traditional channels. The downside of this is that thousands of mostly unknown system…