output
20182026
most citedThe role of bot squads in the political propaganda on Twitter

108 citations

18 papers

cs.LG2026★ 5 cited

Modeling spatio-temporal locality in multi-step forecasting of geo-referenced time series

Annunziata D'Aversa, Gianvito Pio, Michelangelo Ceci

Forecasting future measurements from geographically distributed sensors is essential across many domains. However, the spatial distribution of these sensors raises multiple challen…

cs.SI2026★ 5 cited

IMMENSE: Inductive Multi-perspective User Classification in Social Networks

Francesco Benedetti, Antonio Pellicani, Gianvito Pio +1

Online social networks increasingly expose people to users who propagate discriminatory, hateful, and violent content. Young users, in particular, are vulnerable to exposure to suc…

cs.AI2025★ 1 cited

Combining Knowledge Graphs and NLP to Analyze Instant Messaging Data in Criminal Investigations

Riccardo Pozzi, Valentina Barbera, Renzo Alva Principe +3

Criminal investigations often involve the analysis of messages exchanged through instant messaging apps such as WhatsApp, which can be an extremely effort-consuming task. Our appro…

cs.CR2025★ 24 cited

On the efficacy of old features for the detection of new bots

Rocco De Nicola, Marinella Petrocchi, Manuel Pratelli

For more than a decade now, academicians and online platform administrators have been studying solutions to the problem of bot detection. Bots are computer algorithms whose use is…

cs.CR2024★ 1 cited

An Assessment of the Overlooked Dangers of Template Engines

Lorenzo Pisu, Davide Maiorca, Giorgio Giacinto

Template engines play a pivotal role in modern web application development by enabling the dynamic rendering of content, products, and user interfaces. Today, they are essential fo…

cs.CR2024★ 3 cited

CONNECTION: COvert chaNnel NEtwork attaCk Through bIt-rate mOdulatioN

Simone Soderi, Rocco De Nicola

Covert channel networks are a well-known method for circumventing the security measures organizations put in place to protect their networks from adversarial attacks. This paper in…

cs.CR2024★ 1 cited

Mitigating and Analysis of Memory Usage Attack in IoE System

Zainab Alwaisi, Simone Soderi, Rocco De Nicola

Internet of Everything (IoE) is a newly emerging trend, especially in homes. Marketing forces toward smart homes are also accelerating the spread of IoE devices in households. An o…

cs.CR2024★ 8 cited

Detection of Energy Consumption Cyber Attacks on Smart Devices

Zainab Alwaisi, Simone Soderi, Rocco De Nicola

With the rapid development of Internet of Things (IoT) technology, intelligent systems are increasingly integrating into everyday life and people's homes. However, the proliferatio…

cs.CR2024★ 4 cited

Energy Cyber Attacks to Smart Healthcare Devices: A Testbed

Zainab Alwaisi, Simone Soderi, Rocco De Nicola

The Internet of Things (IoT) has garnered significant interest in both research and industry due to its profound impact on human life. The rapid expansion of IoT technology has ush…

cs.CV2022★ 5 cited

Bringing Online Egocentric Action Recognition into the wild

Gabriele Goletto, Mirco Planamente, Barbara Caputo +1

To enable a safe and effective human-robot cooperation, it is crucial to develop models for the identification of human activities. Egocentric vision seems to be a viable solution…

cs.LG2022★ 24 cited

On the Robustness of Random Forest Against Untargeted Data Poisoning: An Ensemble-Based Approach

Marco Anisetti, Claudio A. Ardagna, Alessandro Balestrucci +3

Machine learning is becoming ubiquitous. From finance to medicine, machine learning models are boosting decision-making processes and even outperforming humans in some tasks. This…

quant-ph2022★ 53 cited

Towards European Standards for Quantum Technologies

O. van Deventer, N. Spethmann, M. Loeffler +21

The Second Quantum Revolution facilitates the engineering of new classes of sensors, communication technologies, and computers with unprecedented capabilities. Supply chains for qu…

cs.SI2020★ 59 cited

Flow of online misinformation during the peak of the COVID-19 pandemic in Italy

Guido Caldarelli, Rocco de Nicola, Marinella Petrocchi +2

The COVID-19 pandemic has impacted on every human activity and, because of the urgency of finding the proper responses to such an unprecedented emergency, it generated a diffused s…

cs.LO2020★ 2 cited

Stochastic Activity Networks Templates: Supporting Variability in Performability Models

Leonardo Montecchi, Paolo Lollini, Andrea Bondavalli

Model-based evaluation is extensively used to estimate performance and reliability of dependable systems. Traditionally, those systems were small and self-contained, and the main c…

cs.PL2019★ 5 cited

A Formal Approach to the Engineering of Domain-Specific Distributed Systems

Rocco De Nicola, Gianluigi Ferrari, Rosario Pugliese +1

We review some results regarding specification, programming and verification of different classes of distributed systems which stemmed from the research of the Concurrency and Mobi…

cs.AI2019★ 16 cited

T-Norms Driven Loss Functions for Machine Learning

Giuseppe Marra, Francesco Giannini, Michelangelo Diligenti +2

Neural-symbolic approaches have recently gained popularity to inject prior knowledge into a learner without requiring it to induce this knowledge from data. These approaches can po…

cs.SI2019★ 108 cited

The role of bot squads in the political propaganda on Twitter

Guido Caldarelli, Rocco De Nicola, Fabio Del Vigna +2

Social Media are nowadays the privileged channel for information spreading and news checking. Unexpectedly for most of the users, automated accounts, also known as social bots, con…

cs.CR2018

Building an Emulation Environment for Cyber Security Analyses of Complex Networked Systems

Florin Dragos Tanasache, Mara Sorella, Silvia Bonomi +2

Computer networks are undergoing a phenomenal growth, driven by the rapidly increasing number of nodes constituting the networks. At the same time, the number of security threats o…