Skip to Main Content Area
  • CPS-VO
    • Contact Support
  • Browse
    • Calendar
    • Announcements
    • Repositories
    • Groups
  • Search
    • Search for Content
    • Search for a Group
    • Search for People
    • Search for a Project
    • Tagcloud
      
 
Not a member?
Click here to register!
Forgot username or password?
 
Home
National Science Foundation

Cyber-Physical Systems Virtual Organization

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

CPS-VO

CICIDS2017 dataset

biblio

Visible to the public Assessment of Machine Learning Techniques for Building an Efficient IDS

Submitted by grigby1 on Fri, 04/09/2021 - 11:35am
  • telecommunication traffic
  • realistic background traffic
  • IDS dataset
  • efficient IDS
  • complex environments
  • CICIDS2017 dataset
  • denial-of-service attack
  • cyberattack
  • IDS
  • resilience
  • Buildings
  • Cyber Attacks
  • DDoS Attacks
  • learning (artificial intelligence)
  • real-time systems
  • composability
  • machine learning techniques
  • telecommunication security
  • computer network security
  • Resiliency
  • pubcrawl
  • Intrusion Detection Systems
  • Intrusion Detection
  • security
  • machine learning
biblio

Visible to the public A Two-Level Hybrid Model for Anomalous Activity Detection in IoT Networks

Submitted by aekwall on Mon, 02/17/2020 - 2:42pm
  • flow-based intrusion detection
  • vulnerability detection
  • Compositionality
  • IoT networks
  • anomaly detection system
  • CICIDS2017 dataset
  • edited nearest neighbors
  • flow-based anomaly detection
  • flow-based features extraction
  • network traffic
  • level-1 model
  • level-2 model precision
  • malicious activity detection
  • recursive feature elimination
  • sampling methods
  • synthetic minority over-sampling technique
  • two-level hybrid anomalous activity detection
  • UNSW-15 dataset
  • Human behavior
  • security of data
  • telecommunication traffic
  • Internet of Things
  • Protocols
  • nearest neighbour methods
  • feature extraction
  • machine learning
  • Resiliency
  • Intrusion Detection
  • pubcrawl
  • Metrics
  • pattern classification
  • vulnerabilities
  • Training
  • Cybersecurity
  • Anomaly Detection

Terms of Use  |  ©2023. CPS-VO