| From plagiarism to malware detection C Oprisa, G Cabau, A Colesa 2013 15th International Symposium on Symbolic and Numeric Algorithms for …, 2013 | 43 | 2013 |
| Malware classification based on dynamic behavior G Cabau, M Buhu, CP Oprisa 2016 18th international symposium on symbolic and numeric algorithms for …, 2016 | 37 | 2016 |
| Locality-sensitive hashing optimizations for fast malware clustering C Oprişa, M Checicheş, A Năndrean 2014 IEEE 10th International Conference on Intelligent Computer …, 2014 | 36 | 2014 |
| Towards pentesting automation using the metasploit framework O Valea, C Oprişa 2020 IEEE 16th International Conference on Intelligent Computer …, 2020 | 30 | 2020 |
| Malware clustering using suffix trees C Oprişa, G Cabău, G Sebestyen Pal Journal of Computer Virology and Hacking Techniques 12, 1-10, 2016 | 17 | 2016 |
| Particle swarm optimization for clustering semantic web services A Nagy, C Oprisa, I Salomie, CB Pop, VR Chifu, M Dinsoreanu 2011 10th international symposium on parallel and distributed computing, 170-177, 2011 | 16 | 2011 |
| Detecting malicious URLs based on machine learning algorithms and word embeddings A Crişan, G Florea, L Halasz, C Lemnaru, C Oprisa 2020 IEEE 16th International Conference on Intelligent Computer …, 2020 | 11 | 2020 |
| Biologically‐inspired clustering of semantic Web services. Birds or ants intelligence? CB Pop, VR Chifu, I Salomie, M Dinsoreanu, T David, V Acretoaie, A Nagy, ... Concurrency and Computation: Practice and Experience 24 (6), 619-633, 2012 | 11 | 2012 |
| A scalable approach for detecting plagiarized mobile applications C Oprişa, D Gavriluţ, G Cabău Knowledge and Information Systems 49 (1), 143-169, 2016 | 9 | 2016 |
| False positive mitigation in behavioral malware detection using deep learning AM Lungana-Niculescu, A Colesa, C Oprisa 2018 IEEE 14th International Conference on Intelligent Computer …, 2018 | 8 | 2018 |
| Automatic code features extraction using bio-inspired algorithms C Oprişa, G Cabău, A Coleşa Journal of Computer Virology and Hacking Techniques 10 (3), 165-176, 2014 | 8 | 2014 |
| A MinHash approach for clustering large collections of binary programs C Oprisa 2015 20th International Conference on Control Systems and Computer Science …, 2015 | 7 | 2015 |
| Malware classification using filesystem footprints G Cabău, M Buhu, C Oprişa 2016 IEEE International Conference on Automation, Quality and Testing …, 2016 | 5 | 2016 |
| Hunting for malware code in massive collections A Mihalca, C Oprişa, R Potolea 2020 IEEE International Conference on Automation, Quality and Testing …, 2020 | 4 | 2020 |
| A measure of similarity for binary programs with a hierarchical structure C Oprişa, N Ignat 2015 IEEE International Conference on Intelligent Computer Communication and …, 2015 | 3 | 2015 |
| An analysis of http attacks on home iot devices F Moldovan, P Sătmărean, C Oprişa 2020 IEEE International Conference on Automation, Quality and Testing …, 2020 | 2 | 2020 |
| Full content search in malware collections A Mihalca, C Oprişa Information and Operational Technology Security Systems: First International …, 2019 | 2 | 2019 |
| Multi-centroid cluster analysis in malware research C Oprişa, G Cabău, G Sebestyen Pal EVOLVE-A Bridge between Probability, Set Oriented Numerics, and Evolutionary …, 2018 | 2 | 2018 |
| Fast clustering for massive collections of malicious URLs R Rentea, C Oprişa 2021 IEEE 17th International Conference on Intelligent Computer …, 2021 | 1 | 2021 |
| Web servers protection using anomaly detection for http requests P Sătmărean, C Oprişa Computer Security: ESORICS 2019 International Workshops, IOSec, MSTEC, and …, 2020 | 1 | 2020 |
Adrian ColeșaTechnical University of Cluj-NapocaE-mail megerősítve itt: cs.utcluj.ro
