Yinghui Jin, Zimeng Li, Fei Han, Di Huang, Qiao Huang, Yue Cao, Hong Weng, Xian-Tao Zeng, Xinghuan Wang, Hong-Cai Shang
Barriers and enablers for the implementation of clinical practice guidelines in China: a mixed-method study
BMJ open
internet things iot technology revolutionized modern industrial sectors moreover iot technology incorporated within several vital domains applicability however security overlooked due limited resources iot devices intrusion detection methods crucial detecting attacks responding adequately every iot attack conspicuously current study outlines twostage procedure determination identification intrusions first stage binary classifier termed extra tree etree used analyze flow iot data traffic within network second stage ensemble technique et comprising etree deep neural network dnn random forest rf examines invasive events identified proposed approach validated performance analysis specifically botiot cicids2018 nslkdd iotid20 dataset used indepth performance assessment experimental results showed suggested strategy effective existing machine learning methods specifically proposed technique registered enhanced statistical measures accuracy normalized accuracy recall measure stability