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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

ISCX botnet dataset

biblio

Visible to the public Mobile Botnet Detection: A Deep Learning Approach Using Convolutional Neural Networks

Submitted by grigby1 on Tue, 03/09/2021 - 2:22pm
  • mobile devices
  • ISCX botnet dataset
  • learning (artificial intelligence)
  • machine learning
  • machine learning classifiers
  • malicious apps
  • Metrics
  • mobile botnet detection
  • mobile computing
  • invasive software
  • mobile operating systems
  • pattern classification
  • program diagnostics
  • pubcrawl
  • resilience
  • Resiliency
  • smart phones
  • static app features
  • CNN-based approach
  • Android botnet detection
  • Android Botnets
  • Android platform
  • Androids
  • botnet
  • botnet apps
  • Botnet detection
  • botnets
  • Android (operating system)
  • CNN-based model
  • composability
  • convolutional neural nets
  • convolutional neural networks
  • deep learning
  • feature extraction
  • Forestry
  • Humanoid robots

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