Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data

Obfuscated Malware Detection and Classification in Network Traffic Leveraging Hybrid Large Language Models and Synthetic Data

Android malware detection remains a critical issue for mobile security. Cybercriminals target Android since it is the most popular smartphone operating system (OS). Malware detection, analysis, and classification have become diverse research areas. This paper presents a smart sensing model based on...

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Bibliographic Details
Main Authors: Mehwish Naseer, Farhan Ullah, Samia Ijaz, Hamad Naeem, Amjad Alsirhani, Ghadah Naif Alwakid, Abdullah Alomari
Format: Article
Language:English
Published: MDPI AG 2025-01-01
Series:Sensors
Subjects:
smart sensing
cybersecurity
large language models
malware classification
generative AI
transfer learning
Online Access:https://www.mdpi.com/1424-8220/25/1/202
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