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FIVADMI: A Framework for In-Vehicle Anomaly Detection by Monitoring and Isolation

  • Khaled Mahbub (Corresponding / Lead Author)
  • , Antonio Nehme (Corresponding / Lead Author)
  • , Mohammad Patwary
  • , Mark Lacoste
  • , Sylvain Allio
    • University of Wolverhampton
    • Birmingham City University
    • Orange Labs

    Research output: Contribution to journal › Article › peer-review

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    Computer Science