Zuchao Ma
Orcid: 0000-0002-7439-2823Affiliations:
- Nanjing University of Aeronautics and Astronautics, China
According to our database1,
Zuchao Ma authored at least 20 papers
between 2019 and 2026.
Collaborative distances:
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Bibliography
2026
Light into Darkness: Demystifying Profit Strategies Throughout the MEV Bot Lifecycle.
Proceedings of the 33rd Annual Network and Distributed System Security Symposium, 2026
2025
IEEE Trans. Dependable Secur. Comput., 2025
Proceedings of the 34th USENIX Security Symposium, 2025
Surviving in Dark Forest: Towards Evading the Attacks from Front-Running Bots in Application Layer.
Proceedings of the 34th USENIX Security Symposium, 2025
Proceedings of the 40th IEEE/ACM International Conference on Automated Software Engineering, 2025
2024
ACM Trans. Softw. Eng. Methodol., September, 2024
2023
ADCL: Toward an Adaptive Network Intrusion Detection System Using Collaborative Learning in IoT Networks.
IEEE Internet Things J., July, 2023
2021
Towards efficient and energy-aware query processing for industrial internet of things.
Peer-to-Peer Netw. Appl., 2021
A Detection Framework Against CPMA Attack Based on Trust Evaluation and Machine Learning in IoT Network.
IEEE Internet Things J., 2021
Defending co-resident attack using reputation-based virtual machine deployment policy in cloud computing.
Trans. Emerg. Telecommun. Technol., 2021
Digit. Commun. Networks, 2021
Comput. Networks, 2021
Proceedings of the Wireless Algorithms, Systems, and Applications, 2021
ECTSA: An Efficient Charging Time Scheduling Algorithm for Wireless Rechargeable UAV Network.
Proceedings of the IFIP Networking Conference, 2021
2020
Towards multiple-mix-attack detection via consensus-based trust management in IoT networks.
Comput. Secur., 2020
Detection of malicious nodes in drone ad-hoc network based on supervised learning and clustering algorithms.
Proceedings of the 16th International Conference on Mobility, Sensing and Networking, 2020
ELD: Adaptive Detection of Malicious Nodes under Mix-Energy-Depleting-Attacks Using Edge Learning in IoT Networks.
Proceedings of the Information Security - 23rd International Conference, 2020
DCONST: Detection of Multiple-Mix-Attack Malicious Nodes Using Consensus-Based Trust in IoT Networks.
Proceedings of the Information Security and Privacy - 25th Australasian Conference, 2020
2019
Sensors, 2019
Detection of multiple-mix-attack malicious nodes using perceptron-based trust in IoT networks.
Future Gener. Comput. Syst., 2019