1. Hamideh Baharlouei , Adetokunbo Makanju , and Nur Zincir-Heywood . 2022 . Exploring Realistic VANET Simulations for Anomaly Detection of DDoS Attacks. In 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 1--7. https://doi.org/10 .1109/VTC2022-Spring54318.2022.9860624 10.1109/VTC2022-Spring54318.2022.9860624 Hamideh Baharlouei, Adetokunbo Makanju, and Nur Zincir-Heywood. 2022. Exploring Realistic VANET Simulations for Anomaly Detection of DDoS Attacks. In 2022 IEEE 95th Vehicular Technology Conference: (VTC2022-Spring). 1--7. https://doi.org/10.1109/VTC2022-Spring54318.2022.9860624
2. Aitor Belenguer , Javier Navaridas , and Jose A . Pascual . 2022 . A review of Federated Learning in Intrusion Detection Systems for IoT. arxiv: 2204.12443 [cs.CR] Aitor Belenguer, Javier Navaridas, and Jose A. Pascual. 2022. A review of Federated Learning in Intrusion Detection Systems for IoT. arxiv: 2204.12443 [cs.CR]
3. Diego Véras de Queiroz , Janio Carlos Mesquita Vieira, and Iguatemi E Fonseca . 2014 . Deteccc ao de Ataques de Negacc ao de Servico Utilizando Ferramentas de Monitoramento e Análise de Tráfego. Revista de Tecnologia da Informacc ao e Comunicacc ao, Vol. 4 , 1 (2014), 28--35. Diego Véras de Queiroz, Janio Carlos Mesquita Vieira, and Iguatemi E Fonseca. 2014. Deteccc ao de Ataques de Negacc ao de Servico Utilizando Ferramentas de Monitoramento e Análise de Tráfego. Revista de Tecnologia da Informacc ao e Comunicacc ao, Vol. 4, 1 (2014), 28--35.
4. VANet security challenges and solutions: A survey
5. Detecting outliers: Do not use standard deviation around the mean, use absolute deviation around the median