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    Deep learning for detection of routing attacks in the internet of things by YAVUZ, Furkan Yusuf

    Published 2018
    “…In our study, the Cooja IoT simulator has been utilized for generation of high-fidelity attack data, within IoT networks ranging from 10 to 1000 nodes. We propose a highly scalable, deep-learning based attack detection methodology for detection of IoT routing attacks which are decreased rank, hello-flood and version number modification attacks, with high accuracy and precision. …”
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