Malware classification - Open Access .click

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Deep visualization classification method for malicious code based on Ngram-TFIDF

Tongxin xuebao
With the continuous increase in the scale and variety of malware, traditional malware analysis methods, which relied on manual feature extraction, become time-consuming and error-prone, rendering them unsuitable.
WANG Jinwei +4 more
doaj +2 more sources

Efficient Detection and Classification of Internet-of-Things Malware Based on Byte Sequences from Executable Files [PDF]

, 2020
Tzu-Ling Wan +7 more
openalex +1 more source

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

Sensors
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.
Mehwish Naseer +6 more
doaj +1 more source

Deep learning at the shallow end: Malware classification for non-domain experts