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Intrusion Detection in IoT based on Neuro-Fuzzy Approach

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  • Shafalika Vijayal
  • Mohit Mittal

Abstract

The internet of things (IoTs) is part of latest developments having combination of RFID, sensor nodes, communication technologies and protocols. IoT is one of the latest technology that has amass significant research recognition due to their ability to monitor the physical world phenomenon and their applicability to an extensive range of applications. IoTs have a wide range of applications including smart cities, smart homes, industrial sectors etc. The current scenario is highly demanding for deployment of smart sensors into existing applications to deliver a fully automated system. The major issue faced by IoT’s existing system is security issue. This paper focuses on intrusion detection in IoT using neuro-fuzzy approach. The proposed model discusses about how anomalies detection scheme is improved using neuro-fuzzy approach.

Suggested Citation

  • Shafalika Vijayal & Mohit Mittal, 2017. "Intrusion Detection in IoT based on Neuro-Fuzzy Approach," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 2(7), pages 113-120, September.
    • Handle: RePEc:jbh:ijsrcs:v2:y2017:i7:id:hcseit174415
    Note: Article URL: https://ijsrcseit.com/CSEIT174415
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