Francesco Mercaldo
Francesco Mercaldo
Geverifieerd e-mailadres voor unimol.it
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Explainable deep learning for pulmonary disease and coronavirus COVID-19 detection from X-rays
L Brunese, F Mercaldo, A Reginelli, A Santone
Computer Methods and Programs in Biomedicine 196, 105608, 2020
1132020
Effectiveness of opcode ngrams for detection of multi family android malware
G Canfora, A De Lorenzo, E Medvet, F Mercaldo, CA Visaggio
2015 10th International Conference on Availability, Reliability and Security …, 2015
1042015
Detecting android malware using sequences of system calls
G Canfora, E Medvet, F Mercaldo, CA Visaggio
Proceedings of the 3rd International Workshop on Software Development …, 2015
1022015
Ransomware steals your phone. formal methods rescue it
F Mercaldo, V Nardone, A Santone, CA Visaggio
International Conference on Formal Techniques for Distributed Objects …, 2016
1012016
Android malware detection based on system call sequences and LSTM
X Xiao, S Zhang, F Mercaldo, G Hu, AK Sangaiah
Multimedia Tools and Applications 78 (4), 3979-3999, 2019
962019
A classifier of malicious android applications
G Canfora, F Mercaldo, CA Visaggio
2013 International Conference on Availability, Reliability and Security, 607-614, 2013
862013
Classification of ransomware families with machine learning based on N-gram of opcodes
H Zhang, X Xiao, F Mercaldo, S Ni, F Martinelli, AK Sangaiah
Future Generation Computer Systems 90, 211-221, 2019
802019
Diabetes mellitus affected patients classification and diagnosis through machine learning techniques
F Mercaldo, V Nardone, A Santone
Procedia computer science 112, 2519-2528, 2017
752017
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
712017
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
702017
An hmm and structural entropy based detector for android malware: An empirical study
G Canfora, F Mercaldo, CA Visaggio
Computers & Security 61, 1-18, 2016
702016
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
642020
Ransomware inside out
F Mercaldo, V Nardone, A Santone
2016 11th International Conference on Availability, Reliability and Security …, 2016
562016
Talos: no more ransomware victims with formal methods
A Cimitile, F Mercaldo, V Nardone, A Santone, CA Visaggio
International Journal of Information Security 17 (6), 719-738, 2018
542018
Evaluating convolutional neural network for effective mobile malware detection
F Martinelli, F Marulli, F Mercaldo
Procedia computer science 112, 2372-2381, 2017
522017
Acquiring and analyzing app metrics for effective mobile malware detection
G Canfora, E Medvet, F Mercaldo, CA Visaggio
Proceedings of the 2016 ACM on International Workshop on Security And …, 2016
482016
Identification of Android Malware Families with Model Checking.
P Battista, F Mercaldo, V Nardone, A Santone, CA Visaggio
ICISSP, 542-547, 2016
462016
Leila: formal tool for identifying mobile malicious behaviour
G Canfora, F Martinelli, F Mercaldo, V Nardone, A Santone, CA Visaggio
IEEE Transactions on Software Engineering 45 (12), 1230-1252, 2018
452018
Obfuscation techniques against signature-based detection: a case study
G Canfora, A Di Sorbo, F Mercaldo, CA Visaggio
2015 Mobile Systems Technologies Workshop (MST), 21-26, 2015
452015
Download malware? no, thanks: how formal methods can block update attacks
F Mercaldo, V Nardone, A Santone, CA Visaggio
Proceedings of the 4th FME Workshop on Formal Methods in Software …, 2016
442016
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Artikelen 1–20