Tommaso Zoppi

Publication Activity (10 Years)

Years Active: 2006-2024
Publications (10 Years): 47

Top Topics

Intrusion Detection

Communication Protocol

Crisis Management

Top Venues

ACM Trans. Cyber Phys. Syst.

Publications

Tommaso Zoppi, Stefano Gazzini, Andrea Ceccarelli
Anomaly-based error and intrusion detection in tabular data: No DNN outperforms tree-based classifiers. Future Gener. Comput. Syst. 160 (2024)
Tommaso Puccetti, Tommaso Zoppi, Andrea Ceccarelli
On attacks (dis)similarities to test adversarial defense: can we reduce the attack set? ITASEC (2024)
Simona Bernardi, Tommaso Zoppi
Fast Abstracts and Student Forum Proceedings - EDCC 2024 - 19th European Dependable Computing Conference. CoRR (2024)
Tommaso Puccetti, Simone Nardi, Cosimo Cinquilli, Tommaso Zoppi, Andrea Ceccarelli
ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System. CoRR (2024)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers. CoRR (2023)
Andrea Ceccarelli, Tommaso Zoppi
Intrusion detection without attack knowledge: generating out-of-distribution tabular data. ISSRE (2023)
Tommaso Puccetti, Andrea Ceccarelli, Tommaso Zoppi, Andrea Bondavalli
Detection of Adversarial Attacks by Observing Deep Features with Structured Data Algorithms. SAC (2023)
Tommaso Zoppi, Giovanni Merlino, Andrea Ceccarelli, Antonio Puliafito, Andrea Bondavalli
Anomaly Detectors for Self-Aware Edge and IoT Devices. QRS (2023)
Tommaso Zoppi, Andrea Ceccarelli, Tommaso Puccetti, Andrea Bondavalli
Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection. Comput. Secur. 127 (2023)
Tommaso Zoppi, Innocenzo Mungiello, Andrea Ceccarelli, Alberto Cirillo, Lorenzo Sarti, Lorenzo Esposito, Giuseppe Scaglione, Sergio Repetto, Andrea Bondavalli
Safe Maintenance of Railways using COTS Mobile Devices: The Remote Worker Dashboard. ACM Trans. Cyber Phys. Syst. 7 (4) (2023)
Tommaso Puccetti, Tommaso Zoppi, Andrea Ceccarelli
On the Efficacy of Metrics to Describe Adversarial Attacks. CoRR (2023)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Ensembling Uncertainty Measures to Improve Safety of Black-Box Classifiers. ECAI (2023)
Muhammad Atif, Andrea Ceccarelli, Tommaso Zoppi, Andrea Bondavalli
Tolerate Failures of the Visual Camera With Robust Image Classifiers. IEEE Access 11 (2023)
Mohamad Gharib, Tommaso Zoppi, Andrea Bondavalli
On the Properness of Incorporating Binary Classification Machine Learning Algorithms Into Safety-Critical Systems. IEEE Trans. Emerg. Top. Comput. 10 (4) (2022)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Towards a General Model for Intrusion Detection: An Exploratory Study. PKDD/ECML Workshops (2) (2022)
Tommaso Zoppi, Andrea Ceccarelli
Prepare for Trouble and Make it Double. Supervised and Unsupervised Stacking for AnomalyBased Intrusion Detection. CoRR (2022)
Muhammad Atif, Tommaso Zoppi, Mohamad Gharib, Andrea Bondavalli
Towards Enhancing Traffic Sign Recognition through Sliding Windows. Sensors 22 (7) (2022)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application. IEEE Access 9 (2021)
Muhammad Atif, Tommaso Zoppi, Mohamad Gharib, Andrea Bondavalli
Quantitative comparison of supervised algorithms and feature sets for traffic sign recognition. SAC (2021)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
MADneSs: A Multi-Layer Anomaly Detection Framework for Complex Dynamic Systems. IEEE Trans. Dependable Secur. Comput. 18 (2) (2021)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Feature Rankers to Predict Classification Performance of Unsupervised Intrusion Detectors. LADC (2021)
Duccio Bertieri, Andrea Ceccarelli, Tommaso Zoppi, Innocenzo Mungiello, Mario Barbareschi, Andrea Bondavalli
Development and validation of a safe communication protocol compliant to railway standards. J. Braz. Comput. Soc. 27 (1) (2021)
Tommaso Zoppi, Mohamad Gharib, Muhammad Atif, Andrea Bondavalli
Meta-Learning to Improve Unsupervised Intrusion Detection in Cyber-Physical Systems. ACM Trans. Cyber Phys. Syst. 5 (4) (2021)
Mohamad Gharib, Tommaso Zoppi, Andrea Bondavalli
Understanding the properness of incorporating machine learning algorithms in safety-critical systems. SAC (2021)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Detecting Intrusions by Voting Diverse Machine Learners: Is It Really Worth? PRDC (2021)
Tommaso Zoppi, Andrea Ceccarelli
Detect Adversarial Attacks Against Deep Neural Networks With GPU Monitoring. IEEE Access 9 (2021)
Tommaso Zoppi, Andrea Ceccarelli
Prepare for trouble and make it double! Supervised - Unsupervised stacking for anomaly-based intrusion detection. J. Netw. Comput. Appl. 189 (2021)
Tommaso Zoppi, Andrea Ceccarelli, Tommaso Capecchi, Andrea Bondavalli
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape. Trans. Data Sci. 2 (2) (2021)
Tommaso Zoppi, Enrico Schiavone, Irene Bicchierai, Francesco Brancati, Andrea Bondavalli
Spoofing Detectability as a Property of Biometric Characteristics. ITASEC (2021)
Tommaso Zoppi, Andrea Ceccarelli, Tommaso Capecchi, Andrea Bondavalli
Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape. CoRR (2020)
Tommaso Zoppi, Andrea Ceccarelli, Lorenzo Salani, Andrea Bondavalli
On the educated selection of unsupervised algorithms via attacks and anomaly classes. J. Inf. Secur. Appl. 52 (2020)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Into the Unknown: Unsupervised Machine Learning Algorithms for Anomaly-Based Intrusion Detection. DSN (Supplements) (2020)
Andrea Ceccarelli, Tommaso Zoppi, Alexandr Vasenev, Marco Mori, Dan Ionita, Lorena Montoya, Andrea Bondavalli
Threat Analysis in Systems-of-Systems: An Emergence-Oriented Approach. ACM Trans. Cyber Phys. Syst. 3 (2) (2019)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Evaluation of Anomaly Detection Algorithms Made Easy with RELOAD. ISSRE (2019)
Duccio Bertieri, Tommaso Zoppi, Innocenzo Mungiello, Andrea Ceccarelli, Mario Barbareschi, Andrea Bondavalli
Practical Experience Report: Implementation, Verification and Validation of a Safe and Secure Communication Protocol for the Railway Domain. LADC (2019)
Filipe Falcão, Tommaso Zoppi, Caio Barbosa Viera Silva, Anderson Santos, Baldoino Fonseca, Andrea Ceccarelli, Andrea Bondavalli
Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection. SAC (2019)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
An Initial Investigation on Sliding Windows for Anomaly-Based Intrusion Detection. SERVICES (2019)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
On Algorithms Selection for Unsupervised Anomaly Detection. PRDC (2018)
Tommaso Zoppi, Andrea Ceccarelli, Francesco Lo Piccolo, Paolo Lollini, Gabriele Giunta, Vito Morreale, Andrea Bondavalli
Labelling relevant events to support the crisis management operator. J. Softw. Evol. Process. 30 (3) (2018)
Tommaso Zoppi, Sandford Bessler, Andrea Ceccarelli, Edward Lambert, Eng Tseng Lau, Alexandr Vasenev
A Modeling Framework to Support Resilient Evolution Planning of Smart Grids. SmartGIFT (2017)
Tommaso Zoppi, Andrea Ceccarelli, Marco Mori
A Tool for Evolutionary Threat Analysis of Smart Grids. SmartGIFT (2017)
Alexandr Vasenev, Dan Ionita, Tommaso Zoppi, Andrea Ceccarelli, Roel J. Wieringa
Towards Security Requirements: Iconicity as a Feature of an Informal Modeling Language. REFSQ Workshops (2017)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Exploring anomaly detection in systems of systems. SAC (2017)
Marco Mori, Andrea Ceccarelli, Tommaso Zoppi, Andrea Bondavalli
On the impact of emergent properties on SoS security. SoSE (2016)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Challenging Anomaly Detection in Complex Dynamic Systems. SRDS (2016)
Tommaso Zoppi, Andrea Ceccarelli, Andrea Bondavalli
Context-Awareness to Improve Anomaly Detection in Dynamic Service Oriented Architectures. SAFECOMP (2016)
Tommaso Zoppi, Andrea Ceccarelli, Paolo Lollini, Andrea Bondavalli, Francesco Lo Piccolo, Gabriele Giunta, Vito Morreale
Presenting the Proper Data to the Crisis Management Operator: A Relevance Labelling Strategy. HASE (2016)
Andrea Ceccarelli, Tommaso Zoppi, Massimiliano Leone Itria, Andrea Bondavalli
A Multi-layer Anomaly Detector for Dynamic Service-Based Systems. SAFECOMP (2015)
Andrea Ceccarelli, Tommaso Zoppi, Andrea Bondavalli, Fabio Duchi, Giuseppe Vella
A Testbed for Evaluating Anomaly Detection Monitors through Fault Injection. ISORC (2014)
Andrea D'Andrea, Giulia Marchese, Tommaso Zoppi
Ontological Modelling for Archaeological Data. VAST (2006)