Feature generalization using AWID dataset.

<div><p>The widespread use of wireless networks to transfer an enormous amount of sensitive information has caused a plethora of vulnerabilities and privacy issues. The management frames, particularly authentication and association frames, are vulnerable to cyberattacks and it is a signi...

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التفاصيل البيبلوغرافية
المؤلف الرئيسي:	Nashmia Khalid (20496403) (author)
مؤلفون آخرون:	Sadaf Hina (20496406) (author), Khurram Shabih Zaidi (20496409) (author), Tarek Gaber (11949252) (author), Lee Speakman (20496412) (author), Zainab Noor (802903) (author)
منشور في:	2025
الموضوعات:	Molecular Biology Science Policy Space Science Biological Sciences not elsewhere classified Information Systems not elsewhere classified unauthorized decryption attacks several deep learning novel approach using neglecting modern traffic reduced features subset machine learning models extracted feature subset awid 3 dataset additional feature wlan_radio retained features feature reduction classification models awid datasets xlink "> wireless networks widespread use study proposed significant concern sensitive information secure automation privacy issues practical implications particularly authentication management frames key reinstallation feature transferability enormous amount effective model detection performance decision tree cyberattack detection cnn outperformed attack scenarios association frames
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Feature generalization using AWID dataset.

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