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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

network infrastructure attacks

biblio

Visible to the public A Hybrid Optimization Framework Based on Genetic Algorithm and Simulated Annealing Algorithm to Enhance Performance of Anomaly Network Intrusion Detection System Based on BP Neural Network

Submitted by grigby1 on Fri, 06/12/2020 - 12:10pm
  • optimization strategy
  • learning rate
  • momentum term
  • network anomaly detection
  • network infrastructure attacks
  • network intrusion detection system
  • network security
  • neural nets
  • Neural networks
  • Intrusion Detection
  • optimized ANIDS based BPNN
  • pubcrawl
  • resilience
  • Resiliency
  • simulated annealing
  • simulated annealing algorithm
  • soft computing tool
  • Training
  • computer networks
  • Anomaly Detection
  • anomaly network intrusion detection system
  • back propagation neural network
  • Backpropagation
  • BP Neural Network
  • Classification algorithms
  • Compositionality
  • computer network security
  • ANIDS BPNN-GASAA
  • computer security
  • Cryptography
  • fitness value hashing
  • genetic algorithm
  • genetic algorithms
  • hash algorithms
  • hybrid optimization

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