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Cyber-Physical Systems Virtual Organization

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

CPS-VO

oversampling minority classes

biblio

Visible to the public A Deep Learning-based Malware Hunting Technique to Handle Imbalanced Data

Submitted by aekwall on Mon, 03/29/2021 - 11:59am
  • Generative Adversarial Network(GAN)
  • generative adversarial network
  • LSTM
  • Predictive Metrics
  • machine learning approaches
  • antivirus companies
  • common threats
  • convolutional neural network (CNN)
  • cyber-security dangers
  • deep learning-based malware hunting technique
  • deep learning
  • Imbalanced
  • imbalanced training data sets
  • long short term memory
  • Long Short Term Memory(LSTM)
  • multiple class classification problems
  • Opcode
  • opcode sequences
  • oversampling minority classes
  • Generative Adversarial Learning
  • pattern classification
  • malware
  • invasive software
  • Data models
  • machine learning algorithms
  • feature extraction
  • learning (artificial intelligence)
  • Resiliency
  • pubcrawl
  • Computational modeling
  • Scalability
  • internet
  • Training
  • CNN
  • convolutional neural nets
  • convolutional neural network
  • generative adversarial networks
  • recurrent neural nets
  • malware samples

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