Работы, цитирующие эту работу

Работ: 2

Работа: DeepADV: A Deep Neural Network Framework for Anomaly Detection in VANETs

1. Blockchain‐Based Anomaly Detection in Vehicular Ad‐Hoc Networks Using Deep Reinforcement Learning

   A. Phani Sheetal, Mohammed Khalaf, Abdelhamid Zaïdi +6

   СтатьяBlockchain Technology Applications and SecurityTransactions on Emerging Telecommunications Technologies2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.001385

2. Dynamic Weight Allocation–Based Network Security and Anomaly Detection Model for Intelligent <scp>VANETs</scp>

   Aadam Quraishi, Rakeshnag Dasari, Sushilkumar Dangiya +6

   СтатьяVehicular Ad Hoc Networks (VANETs)Transactions on Emerging Telecommunications Technologies2025Цитирований: 0

   ABIABI:AkademIndex/openalex/2025.article.003063