Tommaso Zoppi

Position: Researchers Zoppi, Tommaso
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Phone or fax: +39 055 2751483
Location: Firenze
Description:

Tommaso Zoppi is currently a Research Associate at UNIFI, RCL Group.

He received his Bachelor and Master degree in Computer Science from the University of Firenze, Italy, in October 2012 and July 2014, respectively. From November 2014 to November 2017 he was a PhD student at the Matematics, Computer Science, Statistics course (curriculum: Computer Science) at the same university, under the supervision of Prof. Andrea Bondavalli. 

After almost two years of post-doc at the same university, Tommaso is now a Research Associate (RTD-A) at the Department of Mathematics and Informatics.

Despite his main research efforts are directed to anomaly detection and its applications to several domains related to critical systems, his research topics have a wide span:

  • anomaly-based intrusion detection
  • safety-critical architectures and V&V processes for the railway domain
  • applying machine learning in safety-critical systems
  • cyber-security analysis of smart grids
  • crisis management systems  

Office:

Dipartimento di Matematica e Informatica (DiMaI), Room T19 (Stanza Dottorandi)

Viale Morgagni, 65 - 50134 - Firenze Italy

CV Almalaurea

Recent Publications

  • Conference A. Muhammad, T. Zoppi, M. Gharib and A. Bondavalli. "Quantitative comparison of supervised algorithms and feature sets for traffic sign recognition". SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied Computing. ACM ed. 2021. pp. 174-177. [More] 
  • Conference M. Gharib, T. Zoppi and A. Bondavalli. "Understanding the properness of incorporating machine learning algorithms in safety-critical systems". SAC '21: Proceedings of the 36th Annual ACM Symposium on Applied Computing. ACM ed. 2021. pp. 232-234. [More] 
  • Journal T. Zoppi, T. Capecchi, A. Ceccarelli and A. Bondavalli. "Unsupervised Anomaly Detectors to Detect Intrusions in the Current Threat Landscape", ACM Transactions on Data Science. 2021. [More] 
  • Journal T. Zoppi, A. Ceccarelli and A. Bondavalli. "Unsupervised Algorithms to Detect Zero-Day Attacks: Strategy and Application", IEEE Access, Vol. 9. 2021, pp. 90603-90615. [More] 
  • Journal T. Zoppi and A. Ceccarelli. "Prepare for trouble and make it double! Supervised – Unsupervised stacking for anomaly-based intrusion detection", Journal of Network and Computer Applications, Vol. 1, 9, 2021. [More] 
  • Journal D. Bertieri, A. Ceccarelli, T. Zoppi, I. Mungiello, M. Barbareschi and A. Bondavalli. "Development and validation of a safe communication protocol compliant to railway standards", Journal of the Brazilian Computer Society, Vol. 27. 2021, pp. 1-26. [More] 
  • Journal T. Zoppi, A. Ceccarelli, L. Salani and A. Bondavalli. "On the educated selection of unsupervised algorithms via attacks and anomaly classes", Journal of Information Security and Applications, Vol. 52. 2020, pp. 102474. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "Into the Unknown: Unsupervised Machine Learning Algorithms for Anomaly-Based Intrusion Detection". 2020 50th Annual IEEE-IFIP International Conference on Dependable Systems and Networks-Supplemental Volume (DSN-S). 2020. pp. 81-81. [More] 
  • Conference D. Bertieri, T. Zoppi, I. Mungiello, A. Ceccarelli, M. Barbareschi and A. Bondavalli. "Implementation, Verification and Validation of a Safe and Secure Communication Protocol for the Railway Domain". 9TH LATIN-AMERICAN SYMPOSIUM ON DEPENDABLE COMPUTING. 2019. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "Evaluation of Anomaly Detection algorithms made easy with RELOAD". International Sympoosium on Software Reliability Engineering (ISSRE 2019). 2019. [More] 
  • Journal T. Zoppi, A. Ceccarelli and A. Bondavalli. "MADneSs: a Multi-layer Anomaly Detection Framework for Complex Dynamic Systems", IEEE Transactions on Dependable and Secure computing. 2019. [More] 
  • Conference . Falcao et al.. "Quantitative comparison of unsupervised anomaly detection algorithms for intrusion detection". Symposium on Applied Computing (SAC19) - DADS Track. 2019. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "An Initial Investigation on Sliding Windows for Anomaly-Based Intrusion Detection". IEEE World Congress on Services. C. C. K. et al eds. 2019. [More] 
  • Journal A. Ceccarelli et al. "Threat analysis in systems-of-systems: An emergence-oriented approach", ACM Transactions on Cyber-Physical Systems, Vol. 3. 2018. [More] 
  • Journal T. Zoppi et al. "Labelling relevant events to support the crisis management operator", Journal of Software: Evolution and Process. 2018. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "On algorithms selection for unsupervised anomaly detection". Pacific Rimm Dependable computing Conference (PRDC18). 2018. [More] 
  • PhD Thesis T. Zoppi. "Towards Effective Anomaly Detection in Complex Dynamic Systems". Ph.D. thesis. Università degli Studi di Firenze. Dottorato in Matematica, Informatica, Statistica (XXX ciclo). 2018. Supervisors: Andrea Bondavalli, Andrea Ceccarelli. [More] 
  • Conference T. Zoppi, S. Bessler, A. Ceccarelli, E. Lambert, E. T. Lau and A. Vasenev. "A Modeling Framework to Support Resilient Evolution Planning of Smart Grids". 2nd SmartGIFT Conference. Springer ed. 2017. pp. 10. [More] 
  • Conference T. Zoppi, A. Ceccarelli and M. Mori. "A Tool for Evolutionary Threat Analysis of Smart Grids". 2nd SmartGIFT Conference. Springer ed. 2017. pp. 6. [More] 
  • Conference T. Zoppi. "Executing Online Anomaly Detection in Complex Dynamic Systems". 24th PhD MiniSymposium. 2017. pp. 4. [More] 
  • Book Chapter M. R. Baptista, N. Silva, T. Zoppi, N. Nostro and A. Ceccarelli. "STECA – Security Threats, Effects and Criticality Analysis: Definition and Application to Smart Grids". In A. Bondavalli and F. Brancati (eds), Certifications of Critical Systems - The CECRIS Experience. River Publisher. 2017. pp. 167-182. [More] 
  • Conference A. Vasenev, D. Ionita, T. Zoppi, A. Ceccarelli and R. Wieringa. "Towards Security Requirements: Iconicity as a Feature of an Informal Modeling Language". 3rd International Workshop on Requirements Engineering for Self-Adaptive & Cyber Physical Systems (RESACS). CEUR-WS ed. 2017. [More] 
  • Journal T. Zoppi et al. "Labelling Relevant Events to Support the Crisis Management Operator", Journal of Software: Evolution and Process. 2017. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "Exploring Anomaly Detection in Systems of Systems". Symposium on Applied Computing (SAC) - "Software Architecture: Theory, Technology, and Applications" track. ACM ed. 2017. pp. 1139-1146. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "Challenging Anomaly Detection in Complex Dynamic Systems". Proceedings of 2016 IEEE 35th Symposium on Reliable Distributed Systems. 2016. pp. 2. [More] 
  • Conference T. Zoppi, A. Ceccarelli and A. Bondavalli. "Context-Awareness to improve Anomaly Detection in Dynamic Service Oriented Architectures". Computer Safety, Reliability and Security (SAFECOMP 2016). A. Skavhaug, J. Guiochet and F. Bitsch eds. 2016. pp. 145-158. [More] 
  • Conference O. Jung et al.. "Towards a Collaborative Framework to Improve Urban Grid Resilience". IEEE International Energy Conference. 2016. [More] 
  • Conference M. Mori, A. Ceccarelli, T. Zoppi and A. Bondavalli. "On the impact of emergent properties on SoS security". 7th International Conference on System of Systems Engineering (SoSE). 2016. [More] 
  • Conference T. Zoppi et al.. "Presenting the Proper Data to the Crisis Management Operator: A Relevance Labelling Strategy". IEEE 17th International Symposium on High Assurance Systems Engineering (HASE). 2016. pp. 228-235. [More] 
  • Conference T. Zoppi, A. Bondavalli, A. Ceccarelli and M. Itria. "A Multi-Layer Anomaly Detector for Dynamic Service-Based Systems". Computer Safety, Reliability, and Security. 2015. pp. 166-180. [More] 
  • Conference T. Zoppi. "Multi-Layer Anomaly Detection in Complex Dynamic Critical Systems". In proceedings of Dependable Systems and Networks (DSN 2015) - Student Forum Session. 2015. [More] 
  • Master's Thesis T. Zoppi. "Metodologia, Ambiente di Test e Analisi dei Dati per lo Studio di Indicatori Middleware e di Sistema Finalizzata alla Rilevazione di Anomalie". Master's thesis. Università degli Studi di Firenze. Corso di Laurea Magistrale in Scienze e Tecnologie dell'Informazione. July 18th, 2014. Supervisor(s): A. Bondavalli, Co-Supervisor(s): A. Ceccarelli. [More] 
  • Conference A. Ceccarelli, T. Zoppi, A. Bondavalli, F. Duchi and G. Vella. "A Testbed for Evaluating Anomaly Detection Monitors Through Fault Injection". ISORCW-SORT 2014. 2014. pp. 358 - 365. [More] 
 

Resilient Computing Lab, 2011

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