Francesco Mercaldo
Francesco Mercaldo
PhD in Computer Science, University of Sannio, Italy
Email verificata su unisannio.it
TitoloCitata daAnno
A classifier of malicious android applications
G Canfora, F Mercaldo, CA Visaggio
2013 International Conference on Availability, Reliability and Security, 607-614, 2013
702013
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
662016
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
612015
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
572015
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
382016
Ransomware inside out
F Mercaldo, V Nardone, A Santone
2016 11th International Conference on Availability, Reliability and Security …, 2016
362016
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
312017
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
312016
Identification of Android Malware Families with Model Checking.
P Battista, F Mercaldo, V Nardone, A Santone, CA Visaggio
ICISSP, 542-547, 2016
302016
Mobile malware detection using op-code frequency histograms
G Canfora, F Mercaldo, CA Visaggio
2015 12th International Joint Conference on e-Business and …, 2015
272015
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
272015
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
262017
Download malware? No, thanks. How formal methods can block update attacks
F Mercaldo, V Nardone, A Santone, CA Visaggio
2016 IEEE/ACM 4th FME Workshop on Formal Methods in Software Engineering …, 2016
242016
Composition-malware: building android malware at run time
G Canfora, F Mercaldo, G Moriano, CA Visaggio
2015 10th International Conference on Availability, Reliability and Security …, 2015
242015
A case study of automating user experience-oriented performance testing on smartphones
G Canfora, F Mercaldo, CA Visaggio, M DAngelo, A Furno, C Manganelli
2013 IEEE Sixth International Conference on Software Testing, Verification …, 2013
232013
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, 2018
222018
Android apps and user feedback: a dataset for software evolution and quality improvement
G Grano, A Di Sorbo, F Mercaldo, CA Visaggio, G Canfora, S Panichella
Proceedings of the 2nd ACM SIGSOFT International Workshop on App Market …, 2017
202017
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
192017
Mobile malware detection in the real world
F Mercaldo, CA Visaggio, G Canfora, A Cimitile
Proceedings of the 38th International Conference on Software Engineering …, 2016
192016
Evaluating convolutional neural network for effective mobile malware detection
F Martinelli, F Marulli, F Mercaldo
Procedia computer science 112, 2372-2381, 2017
172017
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
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