Xiang, Yang

Crowdbc: a blockchain-based decentralized framework for crowdsourcing

Li, M., Weng, J., Yang, A., Lu, W., Zhang, Y., Hou, L., Liu, J.-N., Xiang, Y., & Deng, R. H. (2019) · IEEE Transactions on Parallel and Distributed Systems

Blockchain Technology Applications and SecurityMobile Crowdsensing and Crowdsourcing

Cited by 522

Fog Computing: Focusing on Mobile Users at the Edge

Luan, T. H., Gao, L., Li, Z., Xiang, Y., Wei, G., & Sun, L. (2015) · arXiv

IoT and Edge/Fog ComputingCaching and Content Delivery

Cited by 398

Robust Network Traffic Classification

Zhang, J., Chen, X., Xiang, Y., Zhou, W., & Wu, J. (2015) · IEEE/ACM Transactions on Networking

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 391

AI agents under threat: A survey of key security challenges and future pathways

Deng, Z., Guo, Y., Han, C., Ma, W., Xiong, J., Wen, S., & Xiang, Y. (2025) · ACM Computing Surveys

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 210

Detecting Vulnerability on IoT Device Firmware: A Survey

Feng, X., Zhu, X., Han, Q.-L., Zhou, W., Wen, S., & Xiang, Y. (2023) · IEEE/CAA Journal of Automatica Sinica

Security and Verification in ComputingIoT and Edge/Fog Computing

Cited by 185

Internet Traffic Classification by Aggregating Correlated Naive Bayes Predictions

Zhang, J., Chen, C., Xiang, Y., Zhou, W., & Xiang, Y. (2013) · IEEE Transactions on Information Forensics and Security

Internet Traffic Analysis and Secure E-votingText and Document Classification Technologies

Cited by 175

A study of deep learning approaches for medication and adverse drug event extraction from clinical text

Wei, Q., Ji, Z., Li, Z., Du, J., Wang, J., Xu, J., Xiang, Y., Tiryaki, F., Wu, S., Zhang, Y., et al. (2020) · Journal of the American Medical Informatics Association

Biomedical Text Mining and OntologiesMachine Learning in Healthcare

Cited by 129

Anomaly-Based Insider Threat Detection Using Deep Autoencoders

Liu, L., De Vel, O., Chen, C., Zhang, J., & Xiang, Y. (2018) · 2018 IEEE International Conference on Data Mining Workshops (ICDMW)

Network Security and Intrusion DetectionAnomaly Detection Techniques and Applications

Cited by 79

A bayesian inference-based detection mechanism to defend medical smartphone networks against insider attacks

Meng, W., Li, W., Xiang, Y., & Choo, K.-K. R. (2017) · Journal of Network and Computer Applications

Access Control and TrustSecurity in Wireless Sensor Networks

Cited by 76

Privacy Protection for Blockchain-Based Healthcare IoT Systems: A Survey

Qi, M., Wang, Z., Han, Q.-L., Zhang, J., Chen, S., & Xiang, Y. (2024) · IEEE/CAA Journal of Automatica Sinica

Blockchain Technology Applications and SecurityInternet of Things and AI

Cited by 44

Insider Threat Identification Using the Simultaneous Neural Learning of Multi-Source Logs

Liu, L., Chen, C., Zhang, J., De Vel, O., & Xiang, Y. (2019) · IEEE Access

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 31

Fully Reversible Privacy Region Protection for Cloud Video Surveillance

Ma, X., Yang, L. T., Xiang, Y., Zeng, W. K., Zou, D., & Jin, H. (2017) · IEEE Transactions on Cloud Computing

Video Coding and Compression TechnologiesChaos-based Image/Signal Encryption

Cited by 25

Internet Traffic Classification Using Machine Learning: A Token-based Approach

Wang, Y., Xiang, Y., & Yu, S. (2011) · 2011 14th IEEE International Conference on Computational Science and Engineering

Internet Traffic Analysis and Secure E-votingNetwork Security and Intrusion Detection

Cited by 15

Doc2vec-Based Insider Threat Detection through Behaviour Analysis of Multi-source Security Logs

Liu, L., Chen, C., Zhang, J., De Vel, O., & Xiang, Y. (2020) · 2020 IEEE 19th International Conference on Trust, Security and Privacy in Computing and Communications (TrustCom)

Network Security and Intrusion DetectionInformation and Cyber Security

Cited by 9