Výsledky vyhledávání - "Dragos Teodor Gavrilut"

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

Autor: Dragos Teodor Gavrilut, Ciprian-Alin Simion, Henri Luchian

Publikováno v: SYNASC

Cyber-Security industry has always been a "cat and a mouse" game - whenever a new technology was developed it was shortly followed by the appearance of several techniques used by malware creators to avoid detection. It is no surprise that the develop

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::eec112a9eaf16b090f81f766cb1a3c1f
https://doi.org/10.1109/synasc49474.2019.00028

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

Autor: Dragos Teodor Gavrilut, Dan-Georgian Marculet, Razvan Benchea

Publikováno v: SYNASC

With the increase in malware samples in the last decade more antivirus products started to use machine learning algorithms in order to cope with the large volume of data. Thanks to the good results and advances in learning infrastructure the neural n

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d90f39586261c971e2b2ad126e29f3b
https://doi.org/10.1109/synasc49474.2019.00039

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Increasing Protection Against Internet Attacks through Contextual Feature Pairing

Autor: Adrian Stefan Popescu, Dragos Teodor Gavrilut, Georgiana Ingrid Stoleru

Publikováno v: SYNASC

Cyberattacks have evolved from infecting computers using floppy disks or USB drives to the point where Internet, through malicious URLs or spear phishing, has become the main infection vector. In order for these attacks to succeed and avoid detection

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b0e9bb82cd821a612cfc8c41c39e70d5
https://doi.org/10.1109/synasc.2018.00072

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

Autor: Marilena Lupascu, Dorel Lucanu, Dragos Teodor Gavrilut

Publikováno v: SYNASC

In the ever changing malware landscape, office applications with support for VBA (Visual Basic for Applications) scripts have become an important piece of the puzzle, especially since they are one of the most effective email-based delivery method for

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::64bc5227e8c102eefdf81aef748f0304
https://doi.org/10.1109/synasc.2018.00051

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Adjusting SVMs for Large Data Sets using Balanced Decision Trees

Autor: Cristina Vatamanu, Dragos Teodor Gavrilut, George Popoiu

Publikováno v: SYNASC

While machine learning techniques were successfully used for malware identification, they were not without challenges. Over the years, several key points related to the usage of such algorithm for practical applications have evolved: low (close to 0)

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::7378d787530a64ed4ffb1eb7dcad2f4c
https://doi.org/10.1109/synasc.2018.00043

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Feature Creation Using Genetic Algorithms for Zero False Positive Malware Classification

Autor: Dragos Teodor Gavrilut, Henri Luchian, Razvan Benchea

Publikováno v: Advances in Intelligent Systems and Computing ISBN: 9783319697086
EVOLVE

This paper presents a Genetic Programming approach to feature extraction in the frame of the perceptron algorithm described in [1]. While feature extraction has the potential of increasing the accuracy of classification, fully exploring the huge spac

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0ec7f553c62e54428d87897ea13d0987
https://doi.org/10.1007/978-3-319-69710-9_6

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

Autor: Dragos Teodor Gavrilut, George Popoiu, Dan Anton

Publikováno v: SYNASC

Security vendors and malware creators play a game of cat and mouse for more than two decades now. The latest area of computer science that every security vendor uses is machine learning. However, usage of machine learning algorithms comes with a pric

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::c5fd2fc2e199c98f5b48fd326947e5ca
https://doi.org/10.1109/synasc.2017.00045

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