Optimized Ensemble Classifier Based Network Intrusion Detection System for RPL Based Internet of Things

• Published in: Wireless personal communications Vol. 125; no. 4; pp. 3603 - 3626
• Main Authors: Prakash, P. Jaya, Lalitha, B.
• Format: Journal Article
• Language: English
• Published: New York Springer US 01.08.2022; Springer Nature B.V
• Subjects: Classifiers; Communications Engineering; Computer Communication Networks; Datasets; Decision trees; Deep learning; Engineering; Ensemble learning; False alarms; Feature selection; Internet of Things; Intrusion detection systems; Machine learning; Networks; Optimization; Particle swarm optimization; Performance enhancement; Routing (telecommunications); Signal,Image and Speech Processing; Simulated annealing; Support vector machines; Voting; Voting ensemble classifier; Feature selection; Internet of Things; RPL based IoT; Intrusion detection system

Internet of Things (IoT) is the powerful latest trend that allows communications and networking of many sources over the internet. The routing protocol for low power and lossy networks (RPL) based IoT may be exposed to many routing attacks due to resource-constrained and open nature of the IoT nodes...