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    18 thg 1, 2023 · In the tests, ordinary Wi-Fi routers, specifically TP-Link Archer A7 AC1750 devices, were positioned at either end of the room, along with various numbers of people in the room. AI …

    For more information on router impersonation and validation of the network design with simulated data, see the Design a Deep Neural Network with Simulated Data to Detect WLAN Router …

    s a comprehensive WiFi network dataset, which derived from real WiFi traces. The pre-vious work on this AWID dataset was unable to classify Impersonation Attack s ciently. Hence, we focus on …

    This project enhances WLAN security by detecting router impersonation using Radio Frequency Fingerprinting (RFF) and neural networks. A WiFi model on GNU Radio generates unique RFFs, …

    23 thg 10, 2023 · The proposed CNN is able to detect router impersonators by comparing the data pair of the MAC address and RF signature of the received signal from the known and unknown …

    Our contribution is to demonstrate that a rule-based learning classifier using several random forest (RF) features from an IEEE 802.11 frame can determine the probability that an impersonating …

    RF fingerprinting is used to detect a wireless local area network (WLAN) impersonator that transmits beacon frames to WLAN users with a known medium access control address.

    30 thg 3, 2017 · Recently, AWID dataset was published as a comprehensive WiFi network dataset, which derived from real WiFi traces. The previous work on this AWID dataset was unable to …

    You train the CNN with simulated wireless local area network (WLAN) beacon frames from known and unknown routers for RF fingerprinting. You then compare the media access control (MAC) …

    26 thg 5, 2020 · MAC addresses, IP addresses, and DHCP hostnames are not security controls. All of those can be forged. I can also make my TCP/IP stack look like any operating system available …

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