Resilient Computing Lab
List of publications
The entire list of publications can be found:
- on Google Scholar: see the RCL Scholar Group (whole set of publications)
- Staff Members have also a complete archive on Flore, managed by our University and constantly updated.
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- Andrea Bondavalli
- Andrea Ceccarelli
- Paolo Lollini
- Tommaso Zoppi
Highlights: most relevant publications in the last three years
2023
Atif, M., Ceccarelli, A., Zoppi, T., & Bondavalli, A. (2023). Tolerate Failures of the Visual Camera With Robust Image Classifiers. IEEE Access, 11, 5132-5143.
Zoppi, T., Ceccarelli, A., Puccetti, T., & Bondavalli, A. (2023). Which algorithm can detect unknown attacks? Comparison of supervised, unsupervised and meta-learning algorithms for intrusion detection. Computers & Security, 127, 103107.
Ceccarelli, A., & Montecchi, L. (2023). Evaluating Object (Mis) Detection From a Safety and Reliability Perspective: Discussion and Measures. IEEE Access.
Mariotti, F., Bondavalli, A., Lollini, P., Montecchi, L., & Nardi, S. (2023). An extension of the ADVISE Meta modeling framework and its application for an early-stage security analysis of a public transport supervision system. Journal of Reliable Intelligent Environments, 1-19.
Zoppi, T., Mungiello, I., Ceccarelli, A., Cirillo, A., Sarti, L., Esposito, L., ... & Bondavalli, A. (2023). Safe Maintenance of Railways using COTS Mobile Devices: The Remote Worker Dashboard. ACM Transactions on Cyber-Physical Systems, 7(4), 1-20.
2022
Flammini, F., Alcaraz, C., Bellini, E., Marrone, S., Lopez, J., & Bondavalli, A. (2022). Towards trustworthy autonomous systems: Taxonomies and future perspectives. IEEE Transactions on Emerging Topics in Computing.
Gharib, M., Ceccarelli, A., Lollini, P., & Bondavalli, A. (2022). A cyber–physical–social approach for engineering Functional Safety Requirements for automotive systems. Journal of Systems and Software, 189, 111310.
Ceccarelli, A., & Secci, F. (2022). RGB cameras failures and their effects in autonomous driving applications. IEEE Transactions on Dependable and Secure Computing.
Gharib, M., Zoppi, T., & Bondavalli, A. (2022). On the properness of incorporating binary classification machine learning algorithms into safety-critical systems. IEEE Transactions on Emerging Topics in Computing, 10(4), 1671-1686.
Atif, M., Zoppi, T., Gharib, M., & Bondavalli, A. (2022). Towards enhancing traffic sign recognition through sliding windows. Sensors, 22(7), 2683.
2021
Montecchi, L., Lollini, P., & Bondavalli, A. (2021). Stochastic Activity Networks Templates: Supporting Variability in Performability Models. IEEE Transactions on Reliability, 71(2), 640-656.
Zoppi, T., Ceccarelli, A., Capecchi, T., & Bondavalli, A. (2021). Unsupervised anomaly detectors to detect intrusions in the current threat landscape. ACM/IMS Transactions on Data Science, 2(2), 1-26.
Zoppi, T., Ceccarelli, A., & Bondavalli, A. (2021). Unsupervised algorithms to detect zero-day attacks: Strategy and application. Ieee Access, 9, 90603-90615.
Zoppi, T., & Ceccarelli, A. (2021). Prepare for trouble and make it double! Supervised–Unsupervised stacking for anomaly-based intrusion detection. Journal of Network and Computer Applications, 189, 103106.
Zoppi, T., Gharib, M., Atif, M., & Bondavalli, A. (2021). Meta-learning to improve unsupervised intrusion detection in cyber-physical systems. ACM Transactions on Cyber-Physical Systems (TCPS), 5(4), 1-27.