Generic Application Layer Features For IoT Devices Identification
Author:
Affiliation:
1. University of Engineering and Technology,Al-Khwarizmi Institute of Computer Science (KICS),Lahore,Pakistan
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9998183/9998429/09998468.pdf?arnumber=9998468
Reference16 articles.
1. Device Type Identification via Network Traffic and Lightweight Convolutional Neural Network for Internet of Things
2. Z-IoT: Passive Device-class Fingerprinting of ZigBee and Z-Wave IoT Devices
3. IoT Device Type Identification Using Hybrid Deep Learning Approach for Increased IoT Security
4. Zero-Bias Deep Learning for Accurate Identification of Internet of Things (IoT) Devices;liu;IEEE Internet of Things Journal,2020
5. Tshark Manual Page,0
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