Learning Fast and Slow: Propedeutica for Real-Time Malware Detection Article

Sun, Ruimin, Yuan, Xiaoyong, He, Pan et al. (2022). Learning Fast and Slow: Propedeutica for Real-Time Malware Detection . IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 33(6), 2518-2529. 10.1109/TNNLS.2021.3121248

Open Access International Collaboration

cited authors

  • Sun, Ruimin; Yuan, Xiaoyong; He, Pan; Zhu, Qile; Chen, Aokun; Gregio, Andre; Oliveira, Daniela; Li, Xiaolin

authors

publication date

  • June 1, 2022

published in

keywords

  • CLASSIFICATION
  • Computational modeling
  • Computer Science
  • Computer Science, Artificial Intelligence
  • Computer Science, Hardware & Architecture
  • Computer Science, Theory & Methods
  • Deep learning (DL)
  • Detectors
  • Engineering
  • Engineering, Electrical & Electronic
  • Feature extraction
  • MALICIOUS CODE
  • Malware
  • NEURAL-NETWORKS
  • Real-time systems
  • Science & Technology
  • Software algorithms
  • Sun
  • Technology
  • malware detection
  • multistage classification
  • spatial-temporal analysis

Digital Object Identifier (DOI)

publisher

  • IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

start page

  • 2518

end page

  • 2529

volume

  • 33

issue

  • 6