Anomaly Detection in RFID Networks Using Bayesian Blocks and DBSCAN

Zornitza Genova Prodanoff, Andrew Penkunas, Patrick Kreidl

Research output: Chapter or Contribution to BookLiterary contribution

Original languageEnglish
Title of host publicationIEEE SoutheastCon 2020, SoutheastCon 2020
ISBN (Electronic)9781728168616
DOIs
StatePublished - Mar 28 2020
Event2020 IEEE SoutheastCon, SoutheastCon 2020 - Virtual, Raleigh, United States
Duration: Mar 28 2020Mar 29 2020

Publication series

NameConference Proceedings - IEEE SOUTHEASTCON
Volume2020-March
ISSN (Print)1091-0050
ISSN (Electronic)1558-058X

Conference

Conference2020 IEEE SoutheastCon, SoutheastCon 2020
Country/TerritoryUnited States
CityVirtual, Raleigh
Period3/28/203/29/20

ASJC Scopus Subject Areas

  • Computer Networks and Communications
  • Software
  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Signal Processing

Keywords

  • anomaly/intrusion detection
  • Bayesian Blocks
  • IoT
  • NFC
  • RFID
  • RFID security
  • traffic characterization
  • Voronoi cells

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