Dragos Gavrilut

发表

Malware Detection Using Perceptrons and Support Vector Machines

Dragos Gavrilut, Liviu Ciortuz, Mihai Cimpoesu, 2009, 2009 Computation World: Future Computing, Service Computation, Cognitive, Adaptive, Content, Patterns.

A Practical Guide for Detecting the Java Script-Based Malware Using Hidden Markov Models and Linear Classifiers

Dragos Gavrilut, Doina Cosovan, Razvan Benchea, 2014, 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Feature Extraction Using Genetic Programming with Applications in Malware Detection

Henri Luchian, Razvan Benchea, Dragos Gavrilut, 2015, 2015 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification

Henri Luchian, Razvan Benchea, Dragos Gavrilut, 2015, EVOLVE.

A practical approach on clustering malicious PDF documents

Dragos Gavrilut, Razvan Benchea, Cristina Vatamanu, 2012, Journal in Computer Virology.

Anti-emulation trends in modern packers: a survey on the evolution of anti-emulation techniques in UPA packers

Dragos Gavrilut, Catalin-Valeriu Lita, Doina Cosovan, 2018, Journal of Computer Virology and Hacking Techniques.

Practical Optimizations for Perceptron Algorithms in Large Malware Dataset

Razvan Benchea, Dragos Gavrilut, Cristina Vatamanu, 2012, 2012 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Malware detection using machine learning

Dragos Gavrilut, Liviu Ciortuz, Mihai Cimpoesu, 2009, 2009 International Multiconference on Computer Science and Information Technology.

A Practical Approach on Cleaning-Up Large Data Sets

Dragos Gavrilut, Marius Barat, Dumitru-Bogdan Prelipcean, 2014, 2014 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

Identifying DGA-Based Botnets Using Network Anomaly Detection

Razvan Benchea, Dragos Gavrilut, George Popoiu, 2016, 2016 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

Dealing with Class Noise in Large Training Datasets for Malware Detection

Dragos Gavrilut, Liviu Ciortuz, Dragos Gavrilut, 2011, 2011 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing.

A practical approach for clustering large data flows of malicious URLs

Dragos Gavrilut, Adrian-Stefan Popescu, Daniel-Ionut Irimia, 2016, Journal of Computer Virology and Hacking Techniques.

Methods for Training Neural Networks with Zero False Positives for Malware Detection

Razvan Benchea, Dragos Teodor Gavrilut, Dan-Georgian Marculet, 2019, 2019 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).

Machine Learning based Malware Detection. How to Balance Memory Footprint with Model Accuracy.

Dragos Gavrilut, Anton Dan Gabriel, George Popoiu, 2017, 2017 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing (SYNASC).