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National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

network intrusions

biblio

Visible to the public Suspicious Network Event Recognition Using Modified Stacking Ensemble Machine Learning

Submitted by grigby1 on Fri, 08/28/2020 - 3:34pm
  • extremely randomised trees
  • artificial intelligence-oriented automatic services
  • big-data analytics
  • cyber-threats
  • Data preprocessing
  • data science
  • Ensemble Learning
  • ensemble learning.
  • exploratory data analysis
  • AdaBoost
  • feature creation
  • modified stacking ensemble machine learning
  • Network Event Log Analytics
  • network intrusions
  • network traffic alerts
  • suspicious network event recognition dataset
  • suspicious network events
  • big data security in the cloud
  • neural nets
  • machine learning
  • data analysis
  • pubcrawl
  • Resiliency
  • Conferences
  • random forests
  • Big Data
  • pattern classification
  • security of data
  • Neural networks
  • Metrics
  • Random Forest
  • resilience
  • Scalability
  • Feature Selection
  • 2019 IEEE BigData Cup Challenge
biblio

Visible to the public A Multi-Agent Model for Network Intrusion Detection

Submitted by aekwall on Mon, 05/11/2020 - 11:18am
  • Anomaly Detection
  • network requirements
  • network intrusions
  • Multi Agent System
  • MAS agents
  • Hadoop distributed file system
  • distribution
  • distributed intrusion detection model
  • DIDS
  • Big networks
  • big computer infrastructure
  • multiagent system
  • autonomy
  • Intrusion Detection
  • computer network security
  • computer security
  • MAS
  • Databases
  • network intrusion detection
  • multi-agent systems
  • Metrics
  • composability
  • pubcrawl
  • Resiliency
  • security
  • Big Data
  • IDS

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