TY  - JOUR
TI  - Intrusion Detection in IoT based on Neuro-Fuzzy Approach
AU  - Shafalika Vijayal
AU  -  Mohit Mittal
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2017/09/30
PY  - 2017
DO  - https://doi.org/10.32628/IJSRCSEIT
UR  - https://ijsrcseit.com/CSEIT174415
VL  - 2
IS  - 7
SP  - 113	
EP  - 120
AB  - 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.