Proposed framework.

<div><p>Autonomous transportation systems have the potential to greatly impact the way we travel. A vital aspect of these systems is their connectivity, facilitated by intelligent transport applications. However, the safety ensured by the vehicular network can be easily compromised by ma...

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Bibliographic Details
Main Author:	Fayaz Hassan (20685406) (author)
Other Authors:	Zafi Sherhan Syed (20685409) (author), Aftab Ahmed Memon (20685412) (author), Saad Said Alqahtany (20685415) (author), Nadeem Ahmed (10571900) (author), Mana Saleh Al Reshan (17811310) (author), Yousef Asiri (20685418) (author), Asadullah Shaikh (3095532) (author)
Published:	2025
Subjects:	Ecology Space Science Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified principal component analysis intelligent transport applications low parameter count based feature selection recognizing malicious traffic malicious traffic identification smaller model size malicious traffic model size smaller number smaller dimensionality feature matrix feature engineering weights need vital aspect vehicular networks vehicular network turn means training quantization safety ensured results demonstrate proposed low one aspect iot devices intrusion detection intended use hybrid approach exponential growth easily compromised dimensionality reduction dense layers complexity models also reduces 9 kb 43 %. 09 kb
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Proposed framework.

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