Airforce (AFSD)

AirForce Security Dataset (AFSD) that offers many advantages over the AWID dataset for detecting Evil Twin attacks. The AFSD dataset was created through a carefully planned and executed simulation of an Evil Twin attack considering the characteristics of both the attacks and the WiFi environment. The resulting dataset is representative of real-world network traffic during an Evil Twin attack, making it more useful for machine learning models. 

空军安全数据集（AirForce Security Dataset，AFSD）在检测邪恶孪生攻击（Evil Twin attacks）方面相较于AWID数据集具备诸多优势。该数据集通过周密规划并实施的邪恶孪生攻击仿真构建，同时兼顾了攻击本身与WiFi环境的双重特性。最终生成的数据集能够真实反映邪恶孪生攻击发生时的实际网络流量，因此对机器学习模型的研发与应用更具实用价值。