文章基本信息

标题：Multiple intrusion detection in RPL based networks
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作者：Manjula C. Belavagi ; Balachandra Muniyal
期刊名称：International Journal of Electrical and Computer Engineering
电子版ISSN：2088-8708
出版年度：2020
卷号：10
期号：1
页码：467-476
DOI：10.11591/ijece.v10i1.pp467-476
出版社：Institute of Advanced Engineering and Science (IAES)
摘要：Routing Protocol for Low Power and Lossy Networks based networks consists of large number of tiny sensor nodes with limited resources. These nodes are directly connected to the Internet through the border router. Hence these nodes are susceptible to different types of attacks. The possible attacks are rank attack, selective forwarding, worm hole and Denial of service attack. These attacks can be effectively identified by intrusion detection system model. The paper focuses on identification of multiple intrusions by considering the network size as 10, 40 and 100 nodes and adding 10%, 20% and 30% of malicious nodes to the considered network. Experiments are simulated using Cooja simulator on Contiki operating system. Behavior of the network is observed based on the percentage of inconsistency achieved, energy consumption, accuracy and false positive rate. Experimental results show that multiple intrusions can be detected effectively by machine learning techniques.
关键词：RPL ;6LoWPAN Networks;Intrusion Detection;Machine Learning;Network Security;Wireless Sensor Networks