Améliorations des outils de détection de malwares par analyse statique grâce à des mécanismes d'intelligence artificielle
B Marais - 2023 - theses.hal.science
Cette thèse porte sur l'analyse de fichiers malveillants. Nous nous intéressons
particulièrement à l'utilisation de l'intelligence artificielle pour développer et améliorer des …
particulièrement à l'utilisation de l'intelligence artificielle pour développer et améliorer des …
MTMG: A Framework for Generating Adversarial Examples Targeting Multiple Learning-Based Malware Detection Systems
L Jia, Y Yang, J Li, H Ding, J Li, T Yuan, L Liu… - Pacific Rim International …, 2023 - Springer
As machine learning technology continues to advance rapidly, an increasing number of
researchers are utilizing it in the field of malware detection. Despite the fact that learning …
researchers are utilizing it in the field of malware detection. Despite the fact that learning …
CodeExtract: Enhancing Binary Code Similarity Detection with Code Extraction Techniques
L Jia, C Wu, P Zhang, Z Wang - Proceedings of the 25th ACM SIGPLAN …, 2024 - dl.acm.org
In the field of binary code similarity detection (BCSD), when dealing with functions in binary
form, the conventional approach is to identify a set of functions that are most similar to the …
form, the conventional approach is to identify a set of functions that are most similar to the …
Obfuscated Memory Malware Detection
A Tiwari, NS Chaudhari - arXiv preprint arXiv:2408.12866, 2024 - arxiv.org
Providing security for information is highly critical in the current era with devices enabled
with smart technology, where assuming a day without the internet is highly impossible. Fast …
with smart technology, where assuming a day without the internet is highly impossible. Fast …