Dragos Gavrilut

According to our database, Dragos Gavrilut authored at least 44 papers between 2009 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Short- versus long-term performance of detection models for obfuscated MSOffice-embedded malware.

Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian

Int. J. Inf. Sec., February, 2024

GView: A versatile assistant for security researchers.

Raul Zaharia, Dragos Gavrilut, Gheorghita Mutu, Dorel Lucanu

SoftwareX, 2024

Interactive Assistance in Malware Dissemination Detection and Analysis.

Raul Zaharia, Dragos Gavrilut, Gheorghita Mutu, Dorel Lucanu

Proceedings of the 1st Workshop on Security-Centric Strategies for Combating Information Disorder, 2024

Benchmarking Out of the Box Open-Source LLMs for Malware Detection Based on API Calls Sequences.

Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2024, 2024

Real-Time Deep Learning-Based Malware Detection Using Static and Dynamic Features.

Radu Stefan Mihalache, Dragos Teodor Gavrilut, Anton Dan Gabriel

Proceedings of the 16th International Conference on Agents and Artificial Intelligence, 2024

2023

Feature mining and classifier selection for API calls-based malware detection.

Gheorghe Balan, Ciprian-Alin Simion, Dragos Teodor Gavrilut, Henri Luchian

Appl. Intell., December, 2023

2022

Evolution of macro VBA obfuscation techniques.

Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian

Proceedings of the 15th International Conference on Security of Information and Networks, 2022

Improving detection of malicious samples by using state-of-the-art adversarial machine learning algorithms.

Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut

Proceedings of the 15th International Conference on Security of Information and Networks, 2022

Detection of MSOffice-Embedded Malware: Feature Mining and Short- vs. Long-Term Performance.

Silviu Constantin Vitel, Marilena Lupascu, Dragos Teodor Gavrilut, Henri Luchian

Proceedings of the Information Security Practice and Experience, 2022

Using API Calls for Sequence-Pattern Feature Mining-Based Malware Detection.

Gheorghe Balan, Dragos Teodor Gavrilut, Henri Luchian

Proceedings of the Information Security Practice and Experience, 2022

Using GANs to Improve the Accuracy of Machine Learning Models for Malware Detection.

Ciprian-Alin Simion, Gheorghe Balan, Dragos Teodor Gavrilut

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022

2021

A Practical Approach For Malware Identification Based On Anti-Emulation Techniques And Feature To Image Translation.

Georgiana Ingrid Stoleru, Dragos Teodor Gavrilut

Proceedings of the 31st International Conference on Computer Theory and Applications, 2021

2019

An Adversarial Machine Learning Approach to Evaluate the Robustness of a Security Solution.

Ciprian-Alin Simion, Dragos Teodor Gavrilut, Henri Luchian

Proceedings of the 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2019

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

Dan-Georgian Marculet, Razvan Benchea, Dragos Teodor Gavrilut

Proceedings of the 21st International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2019

2018

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

Catalin-Valeriu Lita, Doina Cosovan, Dragos Gavrilut

J. Comput. Virol. Hacking Tech., 2018

Adjusting SVMs for Large Data Sets using Balanced Decision Trees.

Cristina Vatamanu, Dragos Teodor Gavrilut, George Popoiu

Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

Increasing Protection Against Internet Attacks through Contextual Feature Pairing.

Georgiana Ingrid Stoleru, Adrian-Stefan Popescu, Dragos Teodor Gavrilut

Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

Optimizing Cleanset Growth by Using Multi-Class Neural Networks.

Adrian Ioan Pîrîu, Mihai Leonte, Nicolae Postolachi, Dragos Teodor Gavrilut

Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

An Overview of Obfuscation Techniques used by Malware in Visual Basic for Application Scripts.

Marilena Lupascu, Dragos Teodor Gavrilut, Dorel Lucanu

Proceedings of the 20th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2018

2017

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

Dragos Teodor Gavrilut, Anton Dan Gabriel, George Popoiu

Proceedings of the 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2017

A Comparison of Open-Source Static Analysis Tools for Vulnerability Detection in C/C++ Code.

Andrei Arusoaie, Stefan Ciobaca, Vlad Craciun, Dragos Gavrilut, Dorel Lucanu

Proceedings of the 19th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2017

Building a cleanset. An artificial intelligence perspective of identifying network installers.

Mihai Leonte, Dragos Teodor Gavrilut, Nicolae Postolachi

Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

GPU memory leveraged for accelerated training using Tensorflow.

Dan-Georgian Marculet, Dragos Teodor Gavrilut, Razvan Benchea

Proceedings of the 13th IEEE International Conference on Intelligent Computer Communication and Processing, 2017

Perceptron-Based Ensembles and Binary Decision Trees for Malware Detection.

Cristina Vatamanu, Doina Cosovan, Dragos Gavrilut, Henri Luchian

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2017, 2017

2016

A practical approach for clustering large data flows of malicious URLs.

Adrian-Stefan Popescu, Dragos Teodor Gavrilut, Daniel-Ionut Irimia

J. Comput. Virol. Hacking Tech., 2016

A scalable approach for detecting plagiarized mobile applications.

Ciprian Oprisa, Dragos Gavrilut, George Cabau

Knowl. Inf. Syst., 2016

Identifying DGA-Based Botnets Using Network Anomaly Detection.

Dragos Teodor Gavrilut, George Popoiu, Razvan Benchea

Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

Detecting Malicious URLs: A Semi-Supervised Machine Learning System Approach.

Anton Dan Gabriel, Dragos Teodor Gavrilut, Baetu Ioan Alexandru, Adrian-Stefan Popescu

Proceedings of the 18th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2016

2015

Feature Extraction Using Genetic Programming with Applications in Malware Detection.

Cristina Vatamanu, Dragos Gavrilut, Razvan Benchea, Henri Luchian

Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

Improving Malware Detection Response Time with Behavior-Based Statistical Analysis Techniques.

Dumitru-Bogdan Prelipcean, Adrian-Stefan Popescu, Dragos Teodor Gavrilut

Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

A Study on Techniques for Proactively Identifying Malicious URLs.

Adrian-Stefan Popescu, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut

Proceedings of the 17th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2015

Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification.

Razvan Benchea, Dragos Gavrilut, Henri Luchian

Proceedings of the EVOLVE, 2015

2014

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

Doina Cosovan, Razvan Benchea, Dragos Gavrilut

Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

A Practical Approach on Cleaning-Up Large Data Sets.

Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut

Proceedings of the 16th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2014

Combining Restricted Boltzmann Machine and One Side Perceptron for Malware Detection.

Razvan Benchea, Dragos Teodor Gavrilut

Proceedings of the Graph-Based Representation and Reasoning, 2014

2013

Building a practical and reliable classifier for malware detection.

Cristina Vatamanu, Dragos Gavrilut, Razvan-Mihai Benchea

J. Comput. Virol. Hacking Tech., 2013

A study on common malware families evolution in 2012.

Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut

J. Comput. Virol. Hacking Tech., 2013

An Automatic Updating Perceptron-Based System for Malware Detection.

Marius Barat, Dumitru-Bogdan Prelipcean, Dragos Teodor Gavrilut

Proceedings of the 15th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2013

2012

A practical approach on clustering malicious PDF documents.

Cristina Vatamanu, Dragos Gavrilut, Razvan Benchea

J. Comput. Virol., 2012

The proactivity of Perceptron derived algorithms in malware detection.

Mihai Cimpoesu, Dragos Gavrilut, Adrian Popescu

J. Comput. Virol., 2012

Optimized Zero False Positives Perceptron Training for Malware Detection.

Dragos Gavrilut, Razvan Benchea, Cristina Vatamanu

Proceedings of the 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2012

Practical Optimizations for Perceptron Algorithms in Large Malware Dataset.

Dragos Gavrilut, Razvan Benchea, Cristina Vatamanu

Proceedings of the 14th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2012

2011

Dealing with Class Noise in Large Training Datasets for Malware Detection.

Dragos Gavrilut, Liviu Ciortuz

Proceedings of the 13th International Symposium on Symbolic and Numeric Algorithms for Scientific Computing, 2011

2009

Malware detection using machine learning.

Dragos Gavrilut, Mihai Cimpoesu, Dan Anton, Liviu Ciortuz

Proceedings of the International Multiconference on Computer Science and Information Technology, 2009