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Journal Articles
- 2021
[j4]Sohan Gyawali
, Shengjie Xu, Yi Qian, Rose Qingyang Hu:
Challenges and Solutions for Cellular Based V2X Communications. IEEE Commun. Surv. Tutorials 23(1): 222-255 (2021)- [j3]Sohan Gyawali, Yi Qian, Rose Qingyang Hu:
Deep Reinforcement Learning Based Dynamic Reputation Policy in 5G Based Vehicular Communication Networks. IEEE Trans. Veh. Technol. 70(6): 6136-6146 (2021) - [j2]Sohan Gyawali, Yi Qian, Rose Qingyang Hu:
A Privacy-Preserving Misbehavior Detection System in Vehicular Communication Networks. IEEE Trans. Veh. Technol. 70(6): 6147-6158 (2021) - 2020
- [j1]Sohan Gyawali, Yi Qian, Rose Qingyang Hu:
Machine Learning and Reputation Based Misbehavior Detection in Vehicular Communication Networks. IEEE Trans. Veh. Technol. 69(8): 8871-8885 (2020)
Conference and Workshop Papers
- 2024
- [c12]Xian Chen, Yili Jiang, Jiaqi Huan, Sohan Gyawali:
Poster: Machine Learning Based False Position Detection Using Data-to-Image Transformation. MOST 2024: 286-287 - [c11]Yusuf Usman, Prashnna K. Gyawali, Sohan Gyawali, Robin Chataut:
The Dark Side of AI: Large Language Models as Tools for Cyber Attacks on Vehicle Systems. UEMCON 2024: 169-175 - [c10]Robin Chataut, Yusuf Usman, Chowdhury Mohammad Abid Rahman, Sohan Gyawali, Prashnna K. Gyawali:
Enhancing Phishing Detection with AI: A Novel Dataset and Comprehensive Analysis Using Machine Learning and Large Language Models. UEMCON 2024: 226-232 - [c9]Jiaqi Huang, Yili Jiang, Sohan Gyawali, Zhiguo Zhou, Fangtian Zhong:
Semi-supervised Federated Learning for Misbehavior Detection of BSMs in Vehicular Networks. VTC Fall 2024: 1-6 - 2023
- [c8]Nicholas Jaton, Sohan Gyawali, Yi Qian:
Distributed Neural Network-Based DDoS Detection in Vehicular Communication Systems. ICSPCS 2023: 1-9 - [c7]Sohan Gyawali, Kamran Sartipi, Benjamin Van Ravesteyn, Jiaqi Huang, Yili Jiang:
Enhanced and Explainable Deep Learning-Based Intrusion Detection in IoT Networks. MILCOM 2023: 649-654 - 2022
- [c6]Jiaqi Huang, Jiahuan Lv, Zhiguo Zhou, Sohan Gyawali, Yi Qian:
A Multi-objective Model for Misbehavior Detection in IoV. GLOBECOM 2022: 4395-4400 - [c5]Sohan Gyawali, Omar Beg:
Cyber Attacks Detection using Machine Learning in Smart Grid Systems. INFOCOM Workshops 2022: 1-2 - [c4]Sohan Gyawali, Takayuki Shimizu, Hongsheng Lu, Michael Clifford, John B. Kenney, Yi Qian:
Local perception and BSM based misbehavior detection in Intelligent Transportation System. VTC Fall 2022: 1-5 - 2019
- [c3]Sohan Gyawali, Yi Qian, Rose Qingyang Hu:
Resource Allocation in Vehicular Communications Using Graph and Deep Reinforcement Learning. GLOBECOM 2019: 1-6 - [c2]Sohan Gyawali, Yi Qian:
Misbehavior Detection using Machine Learning in Vehicular Communication Networks. ICC 2019: 1-6 - 2018
- [c1]Sohan Gyawali, Shengjie Xu, Feng Ye, Rose Qingyang Hu, Yi Qian:
A D2D Based Clustering Scheme for Public Safety Communications. VTC Spring 2018: 1-5
Coauthor Index
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