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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

high-level attacks

biblio

Visible to the public SSH and FTP brute-force Attacks Detection in Computer Networks: LSTM and Machine Learning Approaches

Submitted by grigby1 on Tue, 03/09/2021 - 2:36pm
  • learning (artificial intelligence)
  • telecommunication traffic
  • SSH
  • pubcrawl
  • policy-based governance
  • pattern classification
  • password
  • network traffic anomaly detection
  • network security
  • MLP
  • machine learning classifiers
  • machine learning approaches
  • machine learning algorithms
  • machine learning
  • LSTM
  • long short-term memory deep learning approach
  • Anomaly Detection
  • Intrusion Detection
  • internet
  • Human Factors
  • Human behavior
  • high-level attacks
  • FTP
  • dictionary-based brute-force attacks
  • Dictionaries
  • deep learning.
  • deep learning
  • computer network security
  • Computer Network Attacks
  • brute-force
  • brute force attacks
biblio

Visible to the public SDN-based hybrid honeypot for attack capture

Submitted by aekwall on Mon, 06/01/2020 - 10:42am
  • high-level attacks
  • Mininet
  • telecommunication control
  • attack capture
  • attack traffic migration
  • Cybersecurity
  • flow control
  • flow control technology
  • high-interaction honeypot
  • Switches
  • hybrid honeypot system
  • network spoofing technology
  • network topology simulation
  • SDN-based hybrid honeypot
  • Topology simulation
  • Traffic migration
  • honey pots
  • computer network security
  • honeypot
  • Human Factors
  • telecommunication network topology
  • pubcrawl
  • Topology
  • SDN controller
  • SDN
  • Generators
  • network topology
  • Resiliency
  • software defined networking
  • Protocols
  • telecommunication traffic
  • Scalability
  • IP networks

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