Intrusion Detection in IoT based on Neuro-Fuzzy Approach

Authors(2) :-Shafalika Vijayal, Mohit Mittal

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 IoTís 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.

Authors and Affiliations

Shafalika Vijayal
Department of Computer Science Engineering MIET, Jammu, India
Mohit Mittal
Department of Computer Science Engineering MIET, Jammu, India

Internet of Things (IoT); SOM neural network; Neuro-Fuzzy technique; intrusion detection; anomaly detection.

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Publication Details

Published in : Volume 2 | Issue 7 | September 2017
Date of Publication : 2017-09-30
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 113-120
Manuscript Number : CSEIT174415
Publisher : Technoscience Academy

ISSN : 2456-3307

Cite This Article :

Shafalika Vijayal, Mohit Mittal, "Intrusion Detection in IoT based on Neuro-Fuzzy Approach", International Journal of Scientific Research in Computer Science, Engineering and Information Technology (IJSRCSEIT), ISSN : 2456-3307, Volume 2, Issue 7, pp.113-120, September-2017.
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