Scilit logo
  • Rankings
  • Search Publications
    Cited-by Search
  • Sources
  • Publishers
  • Scholars
    Top Cited Scholars
  • Organizations
  • Scilit
    About Us
    Advisory Board
    Data Sources
    Career
    Support / Contact
    User Guide
    Publisher User
    Search Function
    Rankings Function
    API Resource
    Scilit Knowledge
    Metrics
    Scilit Recognitions
    Publications Classification
    Media
    News
    Blog
Register
  1. Home
  2. Publications
  3. A Biologically-Inspired Type-2 Fuzzy Set Based Algorithm for Detecting Misbehaving Nodes in Ad-Hoc
  1. Home
  2. Publications
  3. A Biologically-Inspired Type-2 Fuzzy Set Based Algorithm for Detecting Misbehaving Nodes in Ad-Hoc

A Biologically-Inspired Type-2 Fuzzy Set Based Algorithm for Detecting Misbehaving Nodes in Ad-Hoc

Authors:
  • AVAndrea Visconti
    Andrea Visconti
  • HTHooman Tahayori
    Hooman Tahayori

Publisher website
Google Scholar
  • 1 June 2010
    • journal article
    • Published by Infonomics Society in International Journal for Infonomics
    • Vol. 3  (2) , 270-277
    • DOI:10.20533/iji.1742.4712.2010.0029
Abstract
No abstract available
Keywords
  • FUZZY SET
  • BIOLOGICALLY INSPIRED
  • ALGORITHM
  • INSPIRED TYPE
  • DETECTING MISBEHAVING
  • MISBEHAVING NODES
  • SET BASED
Cited by 3 articles
Scilit logo

Have questions? Email us at support@scilit.com

© 2026 MDPI (Basel, Switzerland) unless otherwise stated.

MDPI initiatives

  • MDPI Journals
  • MDPI Books
  • Sciforum
  • Proceedings Series
  • Preprints.org
  • SciProfiles
  • Encyclopedia
  • JAMS

Legal

  • Privacy
  • Terms
  • About
  • Contact
  • Disclaimer

Follow us

  • facebook icon
  • x icon
  • linkedin icon

Join us

  • Career

© 2026 MDPI (Basel, Switzerland) unless otherwise stated.