[HTML][HTML] A malware detection approach based on deep learning and memory forensics
S Zhang, C Hu, L Wang, MJ Mihaljevic, S Xu, T Lan - Symmetry, 2023 - mdpi.com
As cyber attacks grow more complex and sophisticated, new types of malware become more
dangerous and challenging to detect. In particular, fileless malware injects malicious code …
dangerous and challenging to detect. In particular, fileless malware injects malicious code …
Generation of static YARA-signatures using genetic algorithm
A Zhdanov - 2019 IEEE European Symposium on Security and …, 2019 - ieeexplore.ieee.org
This article is dedicated to the subject of malware detection using static YARA-signatures
and Genetic Algorithm (GA). It proposes a solution and does a comparative analysis of two …
and Genetic Algorithm (GA). It proposes a solution and does a comparative analysis of two …
Classification, Characterization, and Contextualization of Windows Malware using Static Behavior and Similarity Analysis
DJ Plohmann - 2022 - bonndoc.ulb.uni-bonn.de
In this dissertation, we provide a comprehensive malware ground truth data set called
Malpedia that is tailored towards demands that serve both academic research and practical …
Malpedia that is tailored towards demands that serve both academic research and practical …