Bin Zhang
Orcid: 0009-0005-5012-7151Affiliations:
- Peng Cheng Laboratory, Cyberspace Security Research Center, Shenzhen, China
According to our database1,
Bin Zhang
authored at least 34 papers
between 2019 and 2024.
Collaborative distances:
Collaborative distances:
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Bibliography
2024
Comput. Secur., January, 2024
Proceedings of the 32nd ACM International Conference on Multimedia, MM 2024, Melbourne, VIC, Australia, 28 October 2024, 2024
CapsuleFormer: A Capsule and Transformer combined model for Decentralized Application encrypted traffic classification.
Proceedings of the 19th ACM Asia Conference on Computer and Communications Security, 2024
2023
Tracking phishing on Ethereum: Transaction network embedding approach for accounts representation learning.
Comput. Secur., December, 2023
Eng. Appl. Artif. Intell., 2023
Phish2vec: A Temporal and Heterogeneous Network Embedding Approach for Detecting Phishing Scams on Ethereum.
Proceedings of the 20th Annual IEEE International Conference on Sensing, 2023
Follow the Will of the Market: A Context-Informed Drift-Aware Method for Stock Prediction.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023
Proceedings of the 7th Asia-Pacific Workshop on Networking, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
Proceedings of the Advanced Data Mining and Applications - 19th International Conference, 2023
2022
A Consortium Blockchain-Based Access Control Framework With Dynamic Orderer Node Selection for 5G-Enabled Industrial IoT.
IEEE Trans. Ind. Informatics, 2022
Trans. Emerg. Telecommun. Technol., 2022
CoRR, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
Proceedings of the 26th International Conference on Pattern Recognition, 2022
2021
CL-ADMM: A Cooperative-Learning-Based Optimization Framework for Resource Management in MEC.
IEEE Internet Things J., 2021
ALBFL: A novel neural ranking model for software fault localization via combining static and dynamic features.
Inf. Softw. Technol., 2021
SAMLDroid: A Static Taint Analysis and Machine Learning Combined High-Accuracy Method for Identifying Android Apps with Location Privacy Leakage Risks.
Entropy, 2021
Phishing websites detection via CNN and multi-head self-attention on imbalanced datasets.
Comput. Secur., 2021
Byte-Label Joint Attention Learning for Packet-grained Network Traffic Classification.
Proceedings of the 29th IEEE/ACM International Symposium on Quality of Service, 2021
A Novel and High-Accuracy Rumor Detection Approach using Kernel Subtree and Deep Learning Networks.
Proceedings of the International Joint Conference on Neural Networks, 2021
Short and Distort Manipulations in the Cryptocurrency Market: Case Study, Patterns and Detection.
Proceedings of the Algorithms and Architectures for Parallel Processing, 2021
2020
OODT: Obstacle Aware Opportunistic Data Transmission for Cognitive Radio Ad Hoc Networks.
IEEE Trans. Commun., 2020
IEEE Internet Things J., 2020
Ransomware classification using patch-based CNN and self-attention network on embedded N-grams of opcodes.
Future Gener. Comput. Syst., 2020
A Cooperative Learning Framework for Resource Management in MEC: An ADMM Perspective.
CoRR, 2020
ALBFL: A Novel Neural Ranking Model for Software Fault Localization via Combining Static and Dynamic Features.
Proceedings of the 19th IEEE International Conference on Trust, 2020
Proceedings of the 19th IEEE International Conference on Trust, 2020
Malware Classification Method Based on Word Vector of Bytes and Multilayer Perception.
Proceedings of the 2020 IEEE International Conference on Communications, 2020
Proceedings of the 2020 IEEE International Conference on Acoustics, 2020
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
2019
CoRR, 2019
Comput. Sci. Inf. Syst., 2019
Proceedings of the Fourth IEEE International Conference on Data Science in Cyberspace, 2019