| A survey on security for mobile devices M La Polla, F Martinelli, D Sgandurra IEEE communications surveys & tutorials 15 (1), 446-471, 2012 | 744 | 2012 |
| MADAM: a multi-level anomaly detector for android malware G Dini, F Martinelli, A Saracino, D Sgandurra International Conference on Mathematical Methods, Models, and Architectures …, 2012 | 545 | 2012 |
| Madam: Effective and efficient behavior-based android malware detection and prevention A Saracino, D Sgandurra, G Dini, F Martinelli IEEE Transactions on Dependable and Secure Computing 15 (1), 83-97, 2016 | 486 | 2016 |
| Classification of ransomware families with machine learning based onN-gram of opcodes H Zhang, X Xiao, F Mercaldo, S Ni, F Martinelli, AK Sangaiah Future Generation Computer Systems 90, 211-221, 2019 | 273 | 2019 |
| Cyber-insurance survey A Marotta, F Martinelli, S Nanni, A Orlando, A Yautsiukhin Computer Science Review 24, 35-61, 2017 | 241 | 2017 |
| Usage control in computer security: A survey A Lazouski, F Martinelli, P Mori Computer Science Review 4 (2), 81-99, 2010 | 182 | 2010 |
| Non interference for the analysis of cryptographic protocols R Focardi, R Gorrieri, F Martinelli International Colloquium on Automata, Languages, and Programming, 354-372, 2000 | 165 | 2000 |
| A uniform approach for the definition of security properties R Focardi, F Martinelli International Symposium on Formal Methods, 794-813, 1999 | 143 | 1999 |
| R-PackDroid: API package-based characterization and detection of mobile ransomware D Maiorca, F Mercaldo, G Giacinto, CA Visaggio, F Martinelli Proceedings of the symposium on applied computing, 1718-1723, 2017 | 140 | 2017 |
| Human behavior characterization for driving style recognition in vehicle system F Martinelli, F Mercaldo, A Orlando, V Nardone, A Santone, AK Sangaiah Computers & Electrical Engineering 83, 102504, 2020 | 130 | 2020 |
| Car hacking identification through fuzzy logic algorithms F Martinelli, F Mercaldo, V Nardone, A Santone 2017 IEEE international conference on fuzzy systems (FUZZ-IEEE), 1-7, 2017 | 115 | 2017 |
| Information flow analysis in a discrete-time process algebra R Focardi, R Gorrieri, F Martinelli Proceedings 13th IEEE Computer Security Foundations Workshop. CSFW-13, 170-184, 2000 | 115 | 2000 |
| Evaluating convolutional neural network for effective mobile malware detection F Martinelli, F Marulli, F Mercaldo Procedia computer science 112, 2372-2381, 2017 | 106 | 2017 |
| On the effectiveness of system API-related information for Android ransomware detection M Scalas, D Maiorca, F Mercaldo, CA Visaggio, F Martinelli, G Giacinto Computers & Security 86, 168-182, 2019 | 102 | 2019 |
| Analysis of security protocols as open systems F Martinelli Theoretical Computer Science 290 (1), 1057-1106, 2003 | 99 | 2003 |
| Extinguishing ransomware-a hybrid approach to android ransomware detection A Ferrante, M Malek, F Martinelli, F Mercaldo, J Milosevic Foundations and Practice of Security: 10th International Symposium, FPS 2017 …, 2018 | 96 | 2018 |
| SEAS, a secure e-voting protocol: design and implementation F Baiardi, A Falleni, R Granchi, F Martinelli, M Petrocchi, A Vaccarelli Computers & Security 24 (8), 642-652, 2005 | 91 | 2005 |
| Through modeling to synthesis of security automata F Martinell, I Matteucci Electronic Notes in Theoretical Computer Science 179, 31-46, 2007 | 89 | 2007 |
| Towards an interpretable deep learning model for mobile malware detection and family identification G Iadarola, F Martinelli, F Mercaldo, A Santone Computers & Security 105, 102198, 2021 | 88 | 2021 |
| Bridemaid: An hybrid tool for accurate detection of android malware F Martinelli, F Mercaldo, A Saracino Proceedings of the 2017 ACM on Asia conference on computer and …, 2017 | 87 | 2017 |
