AI赋能的加密网络行为分析、网络智能对抗生成、网络威胁检测等

   

083900-网络空间安全

网络行为分析，网络对抗生成

   

2024-11~现在, 中国科学院信息工程研究所, 高级工程师
2020-09~2024-11,中国科学院信息工程研究所, 工程师

   

（1） BAPTISM: A Robust Framework for Encrypted Malicious Traffic Identification With Low-Quality Training Data, TIFS, 2026, 第 2 作者  通讯作者
（2） TrafficCL: Contrastive learning on network traffic for accurate, efficient and robust IP cross-regional detection, Computer Networks, 2026, 第 4 作者
（3） ATOPOS: Dynamic Path Exploration with Adaptive Probe Construction for Extensive and Efficient Network Topology Discovery, INFOCOM , 2026, 第 2 作者  通讯作者
（4） Threat2Traffic: Multi-Agent Environment Synthesis for Malware Traffic Generation from Threat Intelligence, ICML, 2026, 第 2 作者  通讯作者
（5） DecETT: Accurate App Fingerprinting Under Encrypted Tunnels via Dual Decouple-based Semantic Enhancement​, WWW, 2025, 第 2 作者  通讯作者
（6） IPv6 Prefix Target Generation through Pattern and Distribution Learning using Vision-Transformer and Guided-Diffusion, INFOCOM, 2025, 第 7 作者  通讯作者
（7） 6RIS: IPv6 Address Correlation Attacks on TLS Encrypted Traffic Using Joint Representation of Interaction and Sequential Behavior, IWQoS, 2025, 第 2 作者
（8） Identifying malicious traffic under concept drift based on intraclass consistency enhanced variational autoencoder, Identifying malicious traffic under concept drift based on intraclass consistency enhanced variational autoencoder, SCIENCE CHINA-INFORMATION SCIENCES, 2024, 第 2 作者
（9） Let gambling hide nowhere: Detecting illegal mobile gambling apps via heterogeneous graph-based encrypted traffic analysis, COMPUTER NETWORKS, 2024, 第 3 作者
（10） GALG: Linking Addresses in Tracking Ecosystem Using Graph Autoencoder with Link Generation, ECML-PKDD, 2023, 第 3 作者  通讯作者
（11） TGC: Transaction Graph Contrast Network for Ethereum Phishing Scam Detection, ACSAC, 2023, 第 3 作者  通讯作者
（12） Few-shot encrypted traffic classification via multi-task representation enhanced meta-learning, Computer Networks, 2023, 第 7 作者  通讯作者
（13） Zero-relabelling mobile-app identification over drifted encrypted network traffic, COMPUTER NETWORKS, 2023, 第 3 作者
（14） BoAu: Malicious traffic detection with noise labels based on boundary augmentation, COMPUTERS & SECURITY, 2023, 第 2 作者
（15） FlowTracker: Improved flow correlation attacks with denoising and contrastive learning, COMPUTERS & SECURITY, 2023, 第 2 作者  通讯作者
（16） FedMP: Robust and Communication-Efficient Federated Multi-Prototype Intrusion Detection Framework in IoT, 2023 IEEE 29th International Conference on Parallel and Distributed Systems (ICPADS), 2023, 第 3 作者
（17） TTAGN: Temporal Transaction Aggregation Graph Network for Ethereum Phishing Scams Detection, WWW, 2022, 第 3 作者  通讯作者
（18） MTBD: HTTPS Tunnel Detection Based on Multi-Dimension Traffic Behaviors Decision, HPCC 2022, 2022, 第 7 作者
（19） SiamHAN: IPv6 Address Correlation Attacks on TLS Encrypted Traffic via Siamese Heterogeneous Graph Attention Network, USENIX Security, 2021, 第 6 作者  通讯作者
（20） TMT-RF: Tunnel Mixed Traffic Classification Based on Random Forest, Security and Privacy in Communication Networks: 17th EAI International Conference, SecureComm 2021, 2021, 第 3 作者
（21） BAPM:Block Attention Profiling Model for Multi tab Website Fingerprinting Attacks on Tor, Proceedings of the 37th Annual Computer Security Applications Conference, 2021, 第 6 作者  通讯作者
（22） A Study on Security Analysis of the Unlinkability in Tor, MILCOM 2021 - 2021 IEEE Military Communications Conference (MILCOM), 2021, 第 6 作者
（23） Classifying encrypted traffic using adaptive fingerprints with multi-level attributes, WORLD WIDE WEB-INTERNET AND WEB INFORMATION SYSTEMS, 2021, 第 1 作者
（24） Survey of security supervision on blockchain from the perspective of technology, JOURNAL OF INFORMATION SECURITY AND APPLICATIONS, 2021, 第 3 作者
（25） DLchain: A Covert Channel over Blockchain Based on Dynamic Labels, INFORMATION AND COMMUNICATIONS SECURITY (ICICS 2019), 2020, 第 3 作者
（26） NSA-Net: A NetFlow Sequence Attention Network for Virtual Private Network Traffic Detection, WISE 2020, 2020, 第 2 作者
（27） FS-Net: A How Sequence Network For Encrypted Traffic Classification, IEEE CONFERENCE ON COMPUTER COMMUNICATIONS (IEEE INFOCOM 2019), 2019, 第 1 作者  通讯作者