研究领域

网络安全

软件安全

加密流量分析

人工智能安全

2024.07--今 中国电信股份有限公司广东研究院 安全研究员

2019.09--2024.06 中国科学院信息工程研究所 第六研究室 网络空间安全 工学博士（硕博连读）（导师：张晓宇 研究员）

2015.09--2019.06 暨南大学 计算机科学与技术 工学学士 （导师：翁健 教授，孙玉霞 副教授）

• 面向对抗场景的加密网络流量分析技术研究 Research on Encrypted Network Traffic Analysis for Adversarial Scenarios
  

• Poster: Towards Real-Time Intrusion Detection with Explainable AI-Based Detector
  CCS 2024 (CCF-A)
  Wenhao Li, Duohe Ma, Zhaoxuan Li, Huaifeng bao, Shuai Wang, Huamin Jin & Xiao-Yu Zhang.


• Demo: Enhancing Smart Contract Security Comprehensively through Dynamic Symbolic Execution
  CCS 2024 (CCF-A)
  Zhaoxuan Li, Ziming Zhao, Wenhao Li, Rui Zhang, Siqi Lu, Rui Xue & Fan Zhang.


• Poster: PGPNet: Classify APT Malware Using Prediction-Guided Prototype Network
  CCS 2024 (CCF-A)
  Huaifeng bao, Wenhao Li, Zhaoxuan Li, Han Miao, Wen Wang & Feng Liu.


• Poster: Enhancing Network Traffic Analysis with Pre-trained Side-channel Feature Imputation
  CCS 2024 (CCF-A)
  Faqi Zhao, Wenhao Li, Duohe Ma, Feng Liu & Wen Wang.


• A Framework for Intelligent Generation of Intrusion Detection Rules Based on Grad-CAM
  ICCS 2024 (IIE-B)
  Xingyu Wang, Huaifeng Bao, Wenhao Li, Haoning Chen, Wen Wang & Feng Liu.


• Trident: A Universal Framework for Fine-Grained and Class-Incremental Unknown Traffic Detection
  The Web Conference 2024 (CCF-A)
  Ziming Zhao, Zhaoxuan Li, Zhuoxue Song, Wenhao Li, Fan Terry Zhang.


• Stories behind decisions: Towards interpretable malware family classification with hierarchical attention
  Computers & Security 2024 (CCF-B)
  Huaifeng Bao; Wenhao Li; Huashan Chen; Han Miao; Qiang Wang; Zixian Tang; Feng Liu; Wen Wang.


• metaNet: Interpretable unknown mobile malware identification with a novel meta-features mining algorithm
  Computer Networks 2024 (CCF-B)
  Zhaoxuan Li; Ziming Zhao; Rui Zhang; Haoyang Lu; Wenhao Li; Fan Zhang; Siqi Lu; Rui Xue.


• Prism: Real-Time Privacy Protection Against Temporal Network Traffic Analyzers
  IEEE Transactions on Information Forensics and Security. (TIFS) 2023 (CCF-A)
  Wenhao Li, Xiao-Yu Zhang*, Huaifeng Bao, Binbin Yang, Zhaoxuan Li, Haichao Shi, Qiang Wang.


• VulHunter: Hunting Vulnerable Smart Contracts at EVM Bytecode-Level via Multiple Instance Learning
  IEEE Transactions on Software Engineering . (TSE) 2023 (CCF-A)
  Zhaoxuan Li; Siqi Lu; Rui Zhang; Ziming Zhao; Rujin Liang; Rui Xue; Wenhao Li; Fan Zhang; Sheng Gao.


• Payload Level Graph Attention Network for Web Attack Traffic Detection
  INTERNATIONAL CONFERENCE ON COMPUTATIONAL SCIENCE. (ICCS 2023) (IIE-B)
  Huaifeng Bao, Wenhao Li, Xingyu Wang, Zixian Tang, Qiang Wang, Wen Wang, Feng Liu.


• A Glimpse of the Whole: Detecting Few-Shot Android Malware Encrypted Network Traffic
  The 2022 IEEE International Conference on High Performance Computing and Communications (HPCC 2022) (CCF-C)
  Wenhao Li, Xiao-Yu Zhang*, Huaifeng Bao, Qiang Wang, Haichao Shi, Zhaoxuan Li.


• ProGraph: Robust Network Traffic Identification with Graph Propagation
  Transcations on Networking (ToN), 2022 (CCF-A)
  Wenhao Li, Xiao-Yu Zhang*, Huaifeng Bao, HaiChao Shi, Qiang Wang.


• Robust Network Traffic Identification with Graph Matching
  Computer Networks, 2022 (CCF-B)
  Wenhao Li, Xiao-Yu Zhang*, Huaifeng Bao, Qiang Wang, Zhaoxuan Li.


• High-Efficient and Few-Shot Adaptive Encrypted Traffic Classification With Deep Tree
  Military Communications Conference (MILCOM), 2022 (IIE-B)
  Qiang Wang, Wenhao Li, Huaifeng Bao, Zixian Tang, Wen Wang*, Feng Liu, Lingyun Ying.


• AMDetector: Detecting Large-scale and Novel Android Malware Traffic with Meta-learning
  International Conference on Computational Science (ICCS), 2022 (IIE-B)
  Wenhao Li, Huaifeng Bao, Xiao-Yu Zhang*, Lin Li.


• GBLNet: detecting intrusion traffic with multi-granularity BiLSTM
  International Conference on Computational Science (ICCS), 2022 (IIE-B)
  Wenhao Li, Xiao-Yu Zhang*.


• HSLF: HTTP header sequence based lsh fingerprints for application traffic classification
  International Conference on Computational Science (ICCS), 2021 (IIE-B)
  Zixian Tang, Qiang Wang, Wenhao Li, Huaifeng Bao, Feng Liu, Wen Wang*.


• Mining Trojan Detection Based on Multi-dimensional Static Features
  International Conference on Science of Cyber Security (SciSec), 2021 (IIE-C)
  Zixian Tang, Qiang Wang, Wenhao Li, Huaifeng Bao, Feng Liu, Wen Wang*.

专利

• 基于直推图的加密流量识别与分类方法及系统
  张晓宇, 李文灏, 刘峰
  CN114866301B, 2022.04.25


• 基于图匹配的不同网络环境的加密流量分类方法及系统
  张晓宇, 李文灏, 刘峰
  CN114978593B, 2022.04.15


• 基于优化元学习的轻量恶意软件流量检测方法及装置
  张晓宇, 李文灏, 刘峰
  CN202210547678.6, 2022.05.18


• 基于对抗扰动的实时网络连接隐私保护方法和系统
  张晓宇, 李文灏, 刘峰
  CN202210622904.2, 2022.06.01


• 一种基于可解释人工智能的实时入侵检测方法及系统
  张晓宇, 李文灏, 刘峰
  CN116318787B, 2022.12.08


• 一基于流量指纹蒸馏的设备入网行为检测方法和系统
  张晓宇, 李文灏, 刘峰
  CN202410078748.7, 2024.01.19

获奖荣誉

2020年6月，中国科学院大学三好学生.

2020年12月，“华为杯”第二届中国研究生人工智能创新大赛二等奖，华为专项奖.

2021年11月，DataCon2021大数据安全分析竞赛网络流量分析赛道最佳创意奖，第四名.

2021年9月，中国科学院信息工程研究所学业奖学金，二等奖学金.

2022年12月，中国科学院信息工程研究所年度优秀学生.

2023年4月，第六届“强网杯”人工智能挑战赛竞赛-恶意流量检测赛道三等奖，第四名.

2023年9月，中国科学院信息工程研究所学业奖学金，一等奖学金.

2023年12月，中国科学院信息工程研究所所长优秀奖.

学术兼职

• Reviewer of IJCNN 2022, 2023, 2024.

• Reviewer of TIFS, IoTJ, CyberSecurity, COMNETS.