Fang Wang1, *, Zhe Wei1, Xu Zuo2
CMC-Computers, Materials & Continua, Vol.64, No.2, pp. 1063-1073, 2020, DOI:10.32604/cmc.2020.09774
Abstract The heterogeneous nodes in the Internet of Things (IoT) are relatively weak in
the computing power and storage capacity. Therefore, traditional algorithms of network
security are not suitable for the IoT. Once these nodes alternate between normal behavior
and anomaly behavior, it is difficult to identify and isolate them by the network system in
a short time, thus the data transmission accuracy and the integrity of the network function
will be affected negatively. Based on the characteristics of IoT, a lightweight local outlier
factor detection method is used for node detection. In order to further determine whether
the nodes are… More >
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