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Michele Carminati
Michele Carminati
Assistant Professor (RTDb)
Bestätigte E-Mail-Adresse bei polimi.it - Startseite
Titel
Zitiert von
Zitiert von
Jahr
BankSealer: A decision support system for online banking fraud analysis and investigation
M Carminati, R Caron, F Maggi, I Epifani, S Zanero
computers & security 53, 175-186, 2015
1172015
CANnolo: An Anomaly Detection System based on LSTM Autoencoders for Controller Area Network
S Longari, D Nova Valcarcel, M Zago, M Carminati, S Zanero
IEEE Transactions on Network and Service Management, 2020
902020
Constrained concealment attacks against reconstruction-based anomaly detectors in industrial control systems
A Erba, R Taormina, S Galelli, M Pogliani, M Carminati, S Zanero, ...
Proceedings of the 36th Annual Computer Security Applications Conference …, 2020
482020
A Systematical and longitudinal study of evasive behaviors in windows malware
N Galloro, M Polino, M Carminati, A Continella, S Zanero
Computers & Security 113, 102550, 2022
412022
Security evaluation of a banking fraud analysis system
M Carminati, M Polino, A Continella, A Lanzi, F Maggi, S Zanero
ACM Transactions on Privacy and Security (TOPS) 21 (3), 1-31, 2018
392018
BankSealer: An Online Banking Fraud Analysis and Decision Support System
M Carminati, R Caron, F Maggi, I Epifani, S Zanero
ICT Systems Security and Privacy Protection: 29th IFIP TC 11 International …, 2014
392014
Prometheus: Analyzing WebInject-based information stealers
A Continella, M Carminati, M Polino, A Lanzi, S Zanero, F Maggi
Journal of Computer Security 25 (2), 117-137, 2017
302017
Recan–dataset for reverse engineering of controller area networks
M Zago, S Longari, A Tricarico, M Carminati, MG Pérez, GM Pérez, ...
Data in brief 29, 105149, 2020
252020
Evasion Attacks against Banking Fraud Detection Systems
M Carminati, L Santini, M Polino, S Zanero
23rd International Symposium on Research in Attacks, Intrusions and Defenses …, 2020
232020
Real-time evasion attacks with physical constraints on deep learning-based anomaly detectors in industrial control systems
A Erba, R Taormina, S Galelli, M Pogliani, M Carminati, S Zanero, ...
arXiv preprint arXiv:1907.07487, 2019
232019
Copycan: An error-handling protocol based intrusion detection system for controller area network
S Longari, M Penco, M Carminati, S Zanero
Proceedings of the ACM Workshop on Cyber-Physical Systems Security & Privacy …, 2019
212019
A secure-by-design framework for automotive on-board network risk analysis
S Longari, A Cannizzo, M Carminati, S Zanero
2019 IEEE Vehicular Networking Conference (VNC), 1-8, 2019
192019
CANflict: Exploiting Peripheral Conflicts for Data-Link Layer Attacks on Automotive Networks
A de Faveri Tron, S Longari, M Carminati, M Polino, S Zanero
Proceedings of the 2022 ACM SIGSAC Conference on Computer and Communications …, 2022
162022
Amaretto: An active learning framework for money laundering detection
D Labanca, L Primerano, M Markland-Montgomery, M Polino, ...
IEEE Access 10, 41720-41739, 2022
152022
ELISA: ELiciting ISA of raw binaries for fine-grained code and data separation
P De Nicolao, M Pogliani, M Polino, M Carminati, D Quarta, S Zanero
International Conference on Detection of Intrusions and Malware, and …, 2018
152018
FraudBuster: temporal analysis and detection of advanced financial frauds
M Carminati, A Baggio, F Maggi, U Spagnolini, S Zanero
Detection of Intrusions and Malware, and Vulnerability Assessment: 15th …, 2018
152018
GOLIATH: a decentralized framework for data collection in intelligent transportation systems
D Maffiola, S Longari, M Carminati, M Tanelli, S Zanero
IEEE Transactions on Intelligent Transportation Systems 23 (8), 13372-13385, 2021
112021
NoSQL Breakdown: A Large-scale Analysis of Misconfigured NoSQL Services
D Ferrari, M Carminati, M Polino, S Zanero
Annual Computer Security Applications Conference (ACSAC 2020), 2020
112020
A Supervised Auto-Tuning Approach for a Banking Fraud Detection System
M Carminati, L Valentini, S Zanero
Cyber Security Cryptography and Machine Learning, CSCML 2017, 215--233, 2017
92017
Canova: a hybrid intrusion detection framework based on automatic signal classification for can
A Nichelini, CA Pozzoli, S Longari, M Carminati, S Zanero
Computers & Security 128, 103166, 2023
72023
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