A copy of this work was available on the public web and has been preserved in the Wayback Machine. The capture dates from 2022; you can also visit the original URL.
The file type is
Two-Dimensional Projection Based Wireless Intrusion Classification Using Lightweight EfficientNet
Journal of Cyber Security and Mobility
Internet of Things (IoT) networks leverage wireless communication protocol, which adversaries can exploit. Impersonation attacks, injection attacks, and flooding are several examples of different attacks existing in Wi-Fi networks. Intrusion Detection System (IDS) became one solution to distinguish those attacks from benign traffic. Deep learning techniques have been intensively utilized to classify the attacks. However, the main issue of utilizing deep learning models is projecting the data,doi:10.13052/jcsm2245-1439.1145 fatcat:aj6dyssz2jfcphnz5s3lfzfxcq