Dataset '48,240 MALWARE SAMPLES AND BINARY VISUALISATION IMAGES FOR MACHINE LEARNING ANOMALY DETECTION'

  • Betty Saridou (Creator)
  • Joseph Rose (Creator)
  • Stavros Shiaeles (Creator)
  • Basil Papadopoulos (Creator)

Dataset

Description

Link to dataset deposited in IEEE DataPort.

Abstract:
Dataset including over 40,000 generated images of malicious binaries for malware classification in machine learning as outlined in NARAD - A Novel Auto-learn Real-time Fuzzy Machine Learning Anomaly Detection and Classification System.
Date made available2 Jul 2021
PublisherIEEE

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