Anomaly Detection in the Internet of Vehicular Networks Using Explainable Neural Networks (xNN)
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- E. Laxmi Lydia & A. Arokiaraj Jovith & A. Francis Saviour Devaraj & Changho Seo & Gyanendra Prasad Joshi, 2021. "Green Energy Efficient Routing with Deep Learning Based Anomaly Detection for Internet of Things (IoT) Communications," Mathematics, MDPI, vol. 9(5), pages 1-18, March.
- Jiang, Ying & Zhang, Junyi, 2019. "Interaction between company Manager's and Driver's decisions on expressway routes for truck transport," Transport Policy, Elsevier, vol. 76(C), pages 1-12.
- Rongquan Zhang & Saddam Aziz & Muhammad Umar Farooq & Kazi Nazmul Hasan & Nabil Mohammed & Sadiq Ahmad & Nisrine Ibadah, 2021. "A Wind Energy Supplier Bidding Strategy Using Combined EGA-Inspired HPSOIFA Optimizer and Deep Learning Predictor," Energies, MDPI, vol. 14(11), pages 1-22, May.
- Li, Yunfeng & Xue, Wenli & Wu, Ting & Wang, Huaizhi & Zhou, Bin & Aziz, Saddam & He, Yang, 2021. "Intrusion detection of cyber physical energy system based on multivariate ensemble classification," Energy, Elsevier, vol. 218(C).
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- Snezhana Gocheva-Ilieva & Atanas Ivanov & Hristina Kulina, 2023. "Special Issue “Statistical Data Modeling and Machine Learning with Applications II”," Mathematics, MDPI, vol. 11(12), pages 1-4, June.
- Furkat Safarov & Mainak Basak & Rashid Nasimov & Akmalbek Abdusalomov & Young Im Cho, 2023. "Explainable Lightweight Block Attention Module Framework for Network-Based IoT Attack Detection," Future Internet, MDPI, vol. 15(9), pages 1-19, September.
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Keywords
IoV; xNN; K-MEANS; anomaly detection;All these keywords.
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