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Detecting Deauth DoS Attacks in Wi-Fi by lopeztarancoandre is a document available to read on EtoBox.

The document discusses a machine learning approach for detecting de-authentication denial of service (Deauth-DoS) attacks in Wi-Fi networks. Deauth-DoS attacks disconnect clients by sending spoofed deauthentication frames. Existing mitigation methods are costly. The paper proposes an intrusion detection system using machine learning classifiers to detect Deauth-DoS attacks at low cost without requiring protocol or hardware changes.

Author
lopeztarancoandre
Language
EN