Detecting malicious URLs: A semi-supervised machine learning system approach AD Gabriel, DT Gavrilut, BI Alexandru, PA Stefan 2016 18th International Symposium on Symbolic and Numeric Algorithms for …, 2016 | 30 | 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 |
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 | 13 | 2015 |
Detecting java compiled malware using machine learning techniques G Balan, AS Popescu 2018 20th International Symposium on Symbolic and Numeric Algorithms for …, 2018 | 7 | 2018 |
A practical approach for clustering large data flows of malicious URLs AŞ Popescu, DT Gavriluţ, DI Irimia Journal of Computer Virology and Hacking Techniques 12, 37-47, 2016 | 5 | 2016 |
Increasing Protection Against Internet Attacks through Contextual Feature Pairing GI Stoleru, AS Popescu, DT Gavrilut 2018 20th International Symposium on Symbolic and Numeric Algorithms for …, 2018 | | 2018 |
Can we trust a trustee? An in-depth look into the digitally signed malware industry AS Popescu, G Jescu | | 2014 |