| Malware detection using machine learning D Gavriluţ, M Cimpoeşu, D Anton, L Ciortuz 2009 International multiconference on computer science and information …, 2009 | 229 | 2009 |
| A comparison of open-source static analysis tools for vulnerability detection in c/c++ code A Arusoaie, S Ciobâca, V Craciun, D Gavrilut, D Lucanu 2017 19th International Symposium on Symbolic and Numeric Algorithms for …, 2017 | 66 | 2017 |
| A practical approach on clustering malicious PDF documents C Vatamanu, D Gavriluţ, R Benchea Journal in Computer Virology 8 (4), 151-163, 2012 | 49 | 2012 |
| Optimized zero false positives perceptron training for malware detection D Gavrilut, R Benchea, C Vatamanu 2012 14th International Symposium on Symbolic and Numeric Algorithms for …, 2012 | 44 | 2012 |
| Anti-emulation trends in modern packers: a survey on the evolution of anti-emulation techniques in UPA packers CV Liţă, D Cosovan, D Gavriluţ Journal of Computer Virology and Hacking Techniques 14, 107-126, 2018 | 37 | 2018 |
| Detecting Malicious URLs: A Semi-Supervised Machine Learning System Approach AD Gabriel, DT Gavrilut, BI Alexandru, PA Stefan Symbolic and Numeric Algorithms for Scientific Computing (SYNASC), 2016 18th …, 2016 | 30 | 2016 |
| Malware detection using perceptrons and support vector machines D Gavrilut, M Cimpoesu, D Anton, L Ciortuz 2009 Computation World: Future Computing, Service Computation, Cognitive …, 2009 | 27 | 2009 |
| Handling Noise in Training Data for Malware Detection D Gavrilut, M Barat, LV Ciortuz US Patent App. 13/651,409, 2013 | 26 | 2013 |
| Combining restricted boltzmann machine and one side perceptron for malware detection R Benchea, DT Gavriluţ International conference on conceptual structures, 93-103, 2014 | 24 | 2014 |
| Cascading Classifiers For Computer Security Applications C Vatamanu, D Cosovan, DT Gavrilut, H Luchian US Patent App. 14/714,718, 2016 | 21 | 2016 |
| The proactivity of perceptron derived algorithms in malware detection M Cimpoeşu, D Gavriluţ, A Popescu Journal in Computer Virology 8, 133-140, 2012 | 17 | 2012 |
| A practical guide for detecting the java script-based malware using hidden markov models and linear classifiers D Cosovan, R Benchea, D Gavrilut 2014 16th International Symposium on Symbolic and Numeric Algorithms for …, 2014 | 16 | 2014 |
| Building a practical and reliable classifier for malware detection C Vatamanu, D Gavriluţ, RM Benchea Journal of Computer Virology and Hacking Techniques 9 (4), 205-214, 2013 | 16 | 2013 |
| A study on common malware families evolution in 2012 M Barat, DB Prelipcean, DT Gavriluţ Journal of Computer Virology and Hacking Techniques 9, 171-178, 2013 | 15 | 2013 |
| Privacy protection for mobile devices V Valceanu, E Burceanu, DT Gavrilut, T Axinte, V Bordianu, RM Benchea US Patent 9,292,694, 2016 | 14 | 2016 |
| Improving malware detection response time with behavior-based statistical analysis techniques DB Prelipcean, AS Popescu, DT Gavrilut 2015 17th International Symposium on Symbolic and Numeric Algorithms for …, 2015 | 14 | 2015 |
| A study on techniques for proactively identifying malicious urls AS Popescu, DB Prelipcean, DT Gavrilut 2015 17th International Symposium on Symbolic and Numeric Algorithms for …, 2015 | 12 | 2015 |
| A Comparative Study of Malware Detection Techniques Using Machine Learning Methods C Vatamanu, D Cosovan, D Gavriluţ, H Luchian International Journal of Computer, Electrical, Automation, Control and …, 2015 | 12 | 2015 |
| Systems and methods for detecting domain generation algorithm (DGA) malware OM Minea, C Vatamanu, MR Benchea, DT Gavrilut US Patent 9,819,696, 2017 | 10 | 2017 |
| A scalable approach for detecting plagiarized mobile applications C Oprişa, D Gavriluţ, G Cabău Knowledge and Information Systems, 1-27, 2015 | 9 | 2015 |
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