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National Science Foundation

Cyber-Physical Systems Virtual Organization

Read-only archive of site from September 29, 2023.

CPS-VO

malware classification task

biblio

Visible to the public DeepMal: A CNN-LSTM Model for Malware Detection Based on Dynamic Semantic Behaviours

Submitted by aekwall on Mon, 02/08/2021 - 1:41pm
  • cyber-criminals
  • recurrent neural nets
  • Human Factors
  • LSTM
  • Compositionality
  • high-level abstractions
  • CNN-LSTM model
  • Cyber Dependencies
  • component-CNN
  • convolution
  • deep learning framework
  • DeepMal
  • dynamic semantic behaviours
  • evil intentions
  • locally spatial correlations
  • malicious programs
  • malware classification task
  • sequential longterm dependency
  • Metrics
  • malware
  • malware detection
  • invasive software
  • Data models
  • feature extraction
  • learning (artificial intelligence)
  • Resiliency
  • pubcrawl
  • Scalability
  • Neurons
  • pattern classification
  • Training
  • machine learning
  • convolutional neural nets
  • natural language processing
  • NLP techniques

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