Publications

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D. Ariu, Corona, I., Tronci, R., e Giacinto, G., «Machine Learning in Security Applications», in Machine Learning, Software Engineering and Standardization, P. Perner ibai-publishing, 2013.
D. Ariu, Giacinto, G., e Roli, F., «Machine Learning in Computer Forensics (and the Lessons Learned from Machine Learning in Computer Security)», in AISec 2011: 4th ACM Workshop on Artificial Intelligence and Security, Chicago, IL, USA, 2011. (379.05 KB)
D. Ariu e Giacinto, G., «A modular architecture for the analysis of HTTP payloads based on Multiple Classifiers», in 10th Int. Workshop on Multiple Classifier Systems (MCS 2011), Naples, Italy, 2011. (244.9 KB)
D. Ariu, Didaci, L., Fumera, G., Frumento, E., Freschi, F., e Giacinto, G., «Yet Another Cybersecurity Roadmapping Methodology», in First International Workshop on Future Scenarios for Cybercrime and Cyber-terrorism, co-located with the 10th International Conference on Availability, Reliability and Security (ARES), 2015. (1.34 MB)
D. Ariu, Giacinto, G., e Perdisci, R., «Sensing attacks in Computers Network with Hidden Markov Models», in Machine Learning and Data Mining in Pattern Recognition, MLDM 2007, Leipzig, 2007, vol 4571, pagg 449-463. (315.94 KB)
M. Aresu, Ariu, D., Ahmadi, M., Maiorca, D., e Giacinto, G., «Clustering Android Malware Families by Http Traffic», in 10h International Conference on Malicious and Unwanted Software (MALCON 2015), October 20-22th 2015, Fajardo, Puerto Rico, USA, 2015. (168.36 KB)
F. Alonso, Roli, F., Marcialis, G. L., Fierrez, J., e Ortega, J., «Performance of fingerprint quality measures depending on sensor technology», Journal of Electronic Imaging, vol 17, 2008.
F. Alonso, Roli, F., Marcialis, G. L., Fierrez, J., e Ortega, J., «Comparison of fingerprint quality measures using an optical and a capacitive sensor», in IEEE Conference on Biometrics: Theory, Applications and Systems (BTAS07), Washington DC (USA), 2007, pagg 1-6.
Z. Akhtar, «Security of Multimodal Biometric Systems against Spoof Attacks», University of Cagliari, Cagliari (Italy), 2012. (6.38 MB)
Z. Akhtar, Fumera, G., Marcialis, G. L., e Roli, F., «Robustness Evaluation of Biometric Systems under Spoof Attacks», in 16th Int’l Conference on Image Analysis and Processing (ICIAP), Ravenna, Italy, 2011, pagg 159-168. (220.73 KB)
Z. Akhtar, Biggio, B., Fumera, G., e Marcialis, G. L., «Robustness of Multi-modal Biometric Systems under Realistic Spoof Attacks against All Traits», in IEEE Workshop on Biometric Measurements and Systems for Security and Medical Applications (BioMS), Milan, Italy, 2011, pagg 5-10. (954 KB)
Z. Akhtar, Fumera, G., Marcialis, G. L., e Roli, F., «Evaluation of serial and parallel multibiometric systems under spoofing attacks», in 5th IEEE Int'l Conference on Biometrics: Theory, Applications and Systems (BTAS), Washington DC, USA, 2012, vol . (573.02 KB)
Z. Akhtar, Fumera, G., Marcialis, G. L., e Roli, F., «Evaluation of Multimodal Biometric Score Fusion Rules under Spoof Attacks», in 5th IAPR Int’l Conference on Biometrics (ICB), New Delhi, India, 2012, pagg 402-407. (612.37 KB)
Z. Akhtar, Fumera, G., Marcialis, G. L., e Roli, F., «Robustness analysis of likelihood ratio score fusion rule for multi-modal biometric systems under spoof attacks», in 45th IEEE Int’l Carnahan Conference on Security Technology (ICCST) , Barcelona, Spain, 2011, pagg 237-244. (812.36 KB)
M. Ahmed, Didaci, L., Fumera, G., Roli, F., e Lavi, B., «Using Diversity for Classifier Ensemble Pruning: An Empirical Investigation», Theoretical and Applied Informatics, In Press.
M. A. O. Ahmed, Didaci, L., Fumera, G., e Roli, F., «An Empirical Investigation on the Use of Diversity for Creation of Classifier Ensembles», in Multiple Classifier Systems, 2015, vol 9132, pagg 206-219. (216.76 KB)
M. Ahmadi, Biggio, B., Arzt, S., Ariu, D., e Giacinto, G., «Detecting Misuse of Google Cloud Messaging in Android Badware», in 6th Workshop on Security and Privacy in Smartphones and Mobile Devices (SPSM), Vienna, Austria, 2016, pagg 103-112. (626.38 KB)
M. Ahmadi, Ulyanov, D., Semenov, S., Trofimov, M., e Giacinto, G., «Novel Feature Extraction, Selection and Fusion for Effective Malware Family Classification», in Proceedings of the Sixth ACM on Conference on Data and Application Security and Privacy, 2016, pagg 183–194. (6.49 MB)

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