| Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection F Falcão, T Zoppi, CBV Silva, A Santos, B Fonseca, A Ceccarelli, ... Proceedings of the 34th ACM/SIGAPP symposium on applied computing, 318-327, 2019 | 55 | 2019 |
| Unsupervised algorithms to detect zero-day attacks: Strategy and application T Zoppi, A Ceccarelli, A Bondavalli Ieee Access 9, 90603-90615, 2021 | 40 | 2021 |
| Unsupervised anomaly detectors to detect intrusions in the current threat landscape T Zoppi, A Ceccarelli, T Capecchi, A Bondavalli ACM/IMS Transactions on Data Science 2 (2), 1-26, 2021 | 36 | 2021 |
| MADneSs: A multi-layer anomaly detection framework for complex dynamic systems T Zoppi, A Ceccarelli, A Bondavalli IEEE Transactions on Dependable and Secure computing 18 (2), 796-809, 2019 | 33 | 2019 |
| Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection T Zoppi, A Ceccarelli, T Puccetti, A Bondavalli Computers & Security 127, 103107, 2023 | 28 | 2023 |
| On the educated selection of unsupervised algorithms via attacks and anomaly classes T Zoppi, A Ceccarelli, L Salani, A Bondavalli Journal of Information Security and Applications 52, 102474, 2020 | 27 | 2020 |
| Meta-learning to improve unsupervised intrusion detection in cyber-physical systems T Zoppi, M Gharib, M Atif, A Bondavalli ACM Transactions on Cyber-Physical Systems (TCPS) 5 (4), 1-27, 2021 | 25 | 2021 |
| Towards a collaborative framework to improve urban grid resilience O Jung, S Bessler, A Ceccarelli, T Zoppi, A Vasenev, L Montoya, T Clarke, ... 2016 IEEE International Energy Conference (ENERGYCON), 1-6, 2016 | 23 | 2016 |
| Evaluation of Anomaly Detection algorithms made easy with RELOAD T Zoppi, A Ceccarelli, A Bondavalli 2019 IEEE 30th International Symposium on Software Reliability Engineering …, 2019 | 22 | 2019 |
| Prepare for trouble and make it double! Supervised–Unsupervised stacking for anomaly-based intrusion detection T Zoppi, A Ceccarelli Journal of Network and Computer Applications 189, 103106, 2021 | 20 | 2021 |
| Threat analysis in systems-of-systems: an emergence-oriented approach A Ceccarelli, T Zoppi, A Vasenev, M Mori, D Ionita, L Montoya, ... ACM Transactions on Cyber-Physical Systems 3 (2), 1-24, 2018 | 19 | 2018 |
| Context-awareness to improve anomaly detection in dynamic service oriented architectures T Zoppi, A Ceccarelli, A Bondavalli Computer Safety, Reliability, and Security: 35th International Conference …, 2016 | 19 | 2016 |
| On the impact of emergent properties on SoS security M Mori, A Ceccarelli, T Zoppi, A Bondavalli 2016 11th System of Systems Engineering Conference (SoSE), 1-6, 2016 | 16 | 2016 |
| Towards enhancing traffic sign recognition through sliding windows M Atif, T Zoppi, M Gharib, A Bondavalli Sensors 22 (7), 2683, 2022 | 15 | 2022 |
| Exploring anomaly detection in systems of systems T Zoppi, A Ceccarelli, A Bondavalli Proceedings of the Symposium on Applied Computing, 1139-1146, 2017 | 15 | 2017 |
| Into the unknown: Unsupervised machine learning algorithms for anomaly-based intrusion detection T Zoppi, A Ceccarelli, A Bondavalli 2020 50th Annual IEEE-IFIP International Conference on Dependable Systems …, 2020 | 12 | 2020 |
| On algorithms selection for unsupervised anomaly detection T Zoppi, A Ceccarelli, A Bondavalli 2018 IEEE 23rd Pacific Rim International Symposium on Dependable Computing …, 2018 | 11 | 2018 |
| A multi-layer anomaly detector for dynamic service-based systems A Ceccarelli, T Zoppi, M Itria, A Bondavalli Computer Safety, Reliability, and Security: 34th International Conference …, 2015 | 11 | 2015 |
| A testbed for evaluating anomaly detection monitors through fault injection A Ceccarelli, T Zoppi, A Bondavalli, F Duchi, G Vella 2014 IEEE 17th International Symposium on Object/Component/Service-Oriented …, 2014 | 9 | 2014 |
| Quantitative comparison of supervised algorithms and feature sets for traffic sign recognition M Atif, T Zoppi, M Gharib, A Bondavalli Proceedings of the 36th annual ACM symposium on applied computing, 174-177, 2021 | 8 | 2021 |
andrea bondavalliProfessor of computer science, University of FirenzeVerified email at unifi.it
