Intrusion detection in internet of things using supervised machine learning based on application and transport layer features using UNSW-NB15 data-set

Overview of attention for article published in EURASIP Journal on Wireless Communications and Networking, January 2021

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RT @Research_NUST: Dr Qaiser Riaz & Dr @Muhamad_Zeeshan #NUST in collab with @ArkansasTech @SUNY proposed Intrusion Detection System for #I…

RT @Research_NUST: Dr Qaiser Riaz & Dr @Muhamad_Zeeshan #NUST in collab with @ArkansasTech @SUNY proposed Intrusion Detection System for #I…

🇵🇰🤝🇺🇸 @SciDipPak

Dr Qaiser Riaz & Dr @Muhamad_Zeeshan #NUST in collab with @ArkansasTech @SUNY proposed Intrusion Detection System for #IoT devices using #MachineLearning to detect #malicious packets from the network with high accuracy &lesser training time. #NUSTR