Machine learning for internet of things
Published in Journal 1, 2009
Recommended citation: Your Name, You. (2009). "Paper Title Number 1." Journal 1. 1(1). https://d1wqtxts1xzle7.cloudfront.net/99303698/104_28559_EMr_N-libre.pdf?1677722881=&response-content-disposition=inline%3B+filename%3DMachine_learning_for_internet_of_things.pdf&Expires=1699659526&Signature=JUgFxSgsa52~FAInk5jrYzwlBE8rEdg8VKVcAsy3WHY5P-2s6PQ1Us3Y2QxO3xRwifCfI3~g~35nCCTAun39OtUbmwItWJFCGb0g~PFt7nu6MUUEjW989qfc7hkYwINDcPyf2mWhLfg9oop2TLbqLCDVSxHNYfbxVTzcjvMk4Uv4Eadk5jGNMehsv2~zA7URT02kN9Zzmzbg~evFgwR3PPENwNXNpVhIfHUAwJO8-UX2bOcBCL2JGNV7KVNgZfll0ouFe4Ib-iEDlbjrrq~e0V1kq60MMjJtDek~AQlxM~29~v12ReyumQuoAvkblACKEb86LEI7Emoliz9tpVvY8g__&Key-Pair-Id=APKAJLOHF5GGSLRBV4ZA
With the growth of the internet of things (IoT) smart objects, managing these objects becomes a very important challenge, to know the total number of interconnected objects on a heterogeneous network, and if they are functioning correctly; the use of IoT objects can have advantages in terms of comfort, efficiency, and cost. In this context, the identification of IoT objects is the first step to help owners manage them and ensure the security of their IoT environments such as smart homes, smart…