KNN_Reconnaissance attack.

<div><p>Vehicular Networks (VN) utilizing Software Defined Networking (SDN) have garnered significant attention recently, paralleling the advancements in wireless networks. VN are deployed to optimize traffic flow, enhance the driving experience, and ensure road safety. However, VN are v...

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Bibliographic Details
Main Author:	Himanshi Babbar (20448110) (author)
Other Authors:	Shalli Rani (19658599) (author), Maha Driss (19658602) (author)
Published:	2024
Subjects:	Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Information Systems not elsewhere classified proposed methodology aims posing severe threats optimal sample size monopolize network resources implement machine learning ensure road safety another critical challenge analyze statistical flow >- nearest neighbor 90 %, respectively various dataset attributes overfitting dataset traces optimize traffic flow network traffic grows maximizing model accuracy div >< p contemporary internet landscape defined vehicular networks vehicular networks internet traffic given dataset wireless networks time performance study evaluates results indicate reduce latency recall rates random forest performance thresholds minimal subset k </ iot dataset ensuring scalability ensuring real driving experience dos ), ddos traffic compute entropy computational load comparative study assessed using approach distinguishes
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KNN_Reconnaissance attack.

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