Citation

Chaudhary, Alka and Yogarayan, Sumendra and Sharma, Vandana (2026) BoostSecure: A Dual-Boosting XGBoost & CatBoost Framework for High-Accuracy Replay Attack Detection in VANETs. In: 2026 International Conference on Connected Intelligence for Industrial Applications (CI2A), 03-05 April 2026, Punjab, India.

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Abstract

VANET Stands for Vehicular Ad-Hoc Network where vehicle connects with other vehicle to communicate for getting real-time data. It mainly provides smart features for security, makes route better and traffic easier. Replay attack plays ma major role in VANET Environment. There are many security challenges in VANET situation to address against all attacks. Many research reveals implementing ML Models can help and get prevention from replay attacks to reduce alerts and also make traffic and road smart for better routes.

Item Type:	Conference or Workshop Item (Paper)
Uncontrolled Keywords:	VANET, Replay attack, Algorithm, Machine Learning, Dataset, XGBoost, Catboost and Multi-layer perceptron
Subjects:	Q Science > QA Mathematics > QA71-90 Instruments and machines
Divisions:	Faculty of Information Science and Technology (FIST)
Depositing User:	Ms Suzilawati Abu Samah
Date Deposited:	31 Jul 2026 07:48
Last Modified:	31 Jul 2026 07:48
URII:	http://shdl.mmu.edu.my/id/eprint/16438

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