Publications

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Conference Proceedings
I. Corona, Contini, M., Ariu, D., Giacinto, G., Roli, F., Lund, M., e Marinelli, G., «PharmaGuard: Automatic Identification of Illegal Search-Indexed Online Pharmacies», IEEE International Conference on Cybernetics - Special session Cybersecurity (CYBERSEC). IEEE, Gdynia, Poland , pagg 324 - 329, 2015. (1.44 MB) (3.4 MB)
M. Contini, Corona, I., Mulas, A., Giacinto, G., e Ariu, D., «Pharmaguard WebApp: an application for the detection of illegal online pharmacies», 2nd International Workshop on Knowledge Discovery on the WEB (KDWEB). Cagliari, 2016. (120.57 KB)
D. Maiorca, Ariu, D., Corona, I., e Giacinto, G., «A Structural and Content-Based Approach for a Precise and Robust Detection of Malicious PDF Files», Proceedings of the 1st International Conference on Information Systems Security and Privacy (ICISSP 2015, 9-11th February 2015, Angers, France). pagg 27-36, 2015. (267.78 KB)
Journal Article
M. Narouei, Ahmadi, M., Giacinto, G., Takabi, H., e Sami, A., «DLLMiner: structural mining for malware detection», Security and Communication Networks, 2015. (731.78 KB)
D. Ariu, Tronci, R., e Giacinto, G., «HMMpayl: An Intrusion Detection System Based On Hidden Markov Models», Computers & Security, vol 30, pagg 221 - 241, 2011. (1.88 MB)
R. Perdisci, Ariu, D., Fogla, P., Giacinto, G., e Lee, W., «McPAD: A Multiple Classifier System for Accurate Payload-based Anomaly Detection», Computer Networks, vol 53, pagg 864-881, 2009. (882.94 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.
R. Perdisci, Ariu, D., e Giacinto, G., «Scalable Fine-Grained Behavioral Clustering of HTTP-Based Malware», Computer Networks - Special Issue on Botnet Activity: Analysis, Detection and Shutdown, vol 57, pagg 487-500, 2013. (797.8 KB)
B. Biggio, Akhtar, Z., Fumera, G., Marcialis, G. L., e Roli, F., «Security evaluation of biometric authentication systems under real spoofing attacks», IET Biometrics, vol 1, n° 1, pagg 11-24, 2012. (3.21 MB)
D. Maiorca, Ariu, D., Corona, I., Aresu, M., e Giacinto, G., «Stealth Attacks: An Extended Insight into the Obfuscation Effects on Android Malware», Computers And Security (Elsevier), vol 51 (June), pagg 16-31, 2015. (413.99 KB)
D. Maiorca, Ariu, D., Corona, I., Aresu, M., e Giacinto, G., «Stealth Attacks: An Extended Insight into the Obfuscation Effects on Android Malware», Computers And Security (Elsevier), vol 51 (June), pagg 16-31, 2015. (413.99 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.
A. Demontis, Melis, M., Biggio, B., Maiorca, D., Arp, D., Rieck, K., Corona, I., Giacinto, G., e Roli, F., «Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection», IEEE Trans. Dependable and Secure Computing, vol 16, n° 4, pagg 711-724, 2019. (3.61 MB)
Thesis
D. Ariu, «Host and Network based Anomaly Detectors for HTTP Attacks», University of Cagliari, Cagliari (Italy), 2010. (5.95 MB)
Z. Akhtar, «Security of Multimodal Biometric Systems against Spoof Attacks», University of Cagliari, Cagliari (Italy), 2012. (6.38 MB)

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