Detail publikace

GenRex: Leveraging Regular Expressions for Dynamic Malware Detection

REGÉCIOVÁ, D. KOLÁŘ, D.

Originální název

GenRex: Leveraging Regular Expressions for Dynamic Malware Detection

Typ

článek ve sborníku mimo WoS a Scopus

Jazyk

angličtina

Originální abstrakt

GenRex is a unique tool for detecting similarities in artifacts (extracted data) from executable files and for generating regular expressions from them. It implements an advanced algorithm to create regular expressions, improves state-of-the-art algorithms, and includes domain-specific optimizations and pattern detections for optimal results. Generated regular expressions can be used for malware detections, for example, with YARA or any other pattern-matching tool. In this paper, we present the benefits of using this tool, the key features of GenRex that other existing solutions are missing, the algorithm for the automatic generation of YARA rules, and the benefits of using behavioral data for malware detection in general. We also tested GenRex on publicly available behavioral reports and achieved a high True Positive Rate of 92.34% and a low False Positive Rate of 0.01%.

Klíčová slova

Malware detection, dynamic analysis, pattern generation algorithm, regular expressions, rules generation algorithm, YARA, GenRex

Autoři

REGÉCIOVÁ, D.; KOLÁŘ, D.

Vydáno

1. 11. 2023

Nakladatel

Institute of Electrical and Electronics Engineers

Místo

Exeter

ISBN

979-8-3503-8199-3

Kniha

IEEE Xplore

Strany od

857

Strany do

864

Strany počet

8

URL

https://ieeexplore.ieee.org/document/10538538

BibTex

@inproceedings{BUT185111,
  author="Dominika {Regéciová} and Dušan {Kolář}",
  title="GenRex: Leveraging Regular Expressions for Dynamic Malware Detection",
  booktitle="IEEE Xplore",
  year="2023",
  pages="857--864",
  publisher="Institute of Electrical and Electronics Engineers",
  address="Exeter",
  doi="10.1109/TrustCom60117.2023.00123",
  isbn="979-8-3503-8199-3",
  url="https://ieeexplore.ieee.org/document/10538538"
}