INTERNATIONAL JOURNAL OF INNOVATIONS IN APPLIED SCIENCES & ENGINEERING

International Peer Reviewed (Refereed), Open Access Research Journal

E-ISSN:2454-9258 | P-ISSN:2454-809X | Estd Year: 2015

ABSTRACT


Developing an Integrated Framework Based on Neuro-Fuzzy Logic for an Enhanced Efficacy of Detecting Intrusion in Internet of Things (IOT)

Aarushi Chawla

Vol. 7, Jan-Dec 2021

Page Number: 066-076

Abstract:

The Internet of things (IoT) is essential for the most recent advancements having a combination of RFID, sensor hubs, correspondence innovations and conventions. IoT is probably the most recent innovation that has gathered huge exploration because of its capacity to screen real-world phenomena and its suitability to numerous applications. IoTs have a wide scope of utilization, including intelligent urban areas, smart homes, modern areas and so forth. The current situation is exceptionally requesting for sending intelligent sensors into existing applications to convey a completely mechanized framework. The significant issue looked at by IoT's current framework is a security issue. This paper focused on interruption identification in IoT using a neuro-fuzzy methodology. The proposed model examines how the abnormalities discovery combine further developed using the neuro-fuzzy approach system

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