研究地点: 福建省网络计算与智能信息处理重点实验室 计算机学院2号楼302实验室

Email: Lyhwa@fzu.edu.cn    QQ: 1006802383 

近三年主持的科研项目：

[2] 网络安全威胁预警关键技术及系统, 2018年度福建省科学技术进步奖二等奖, 排名第2.

[3] 内网安全监控平台研制及其产业化，2013年度福建省科学技术进步奖二等奖，排名第5.

[4] 基于网络处理器的高速网络安全产品技术研发，2008年度福建省科学技术进步奖三等奖，排名第3.

[5]基于攻防博弈思想的电力网络安全主动防御与处置关键技术及应用，2022年度福建电力科学技术进步奖,二等奖，排名第2。

近三年代表性学术论文：

[1] Kaiyue He, Yanhua Liu* et al.FedDV: Robust Federated Learning against Noisy Labels via Dual-View Augmentation. ICME 2026 (CCF B,卓越期刊)

[2] Jianjing Zhu,Zhou Tan,Hui Xiao,Xiaofei Yang,Yanhua Liu* et al. FedSC: Backdoor Defense in Federated Learning via Model Splitting and Benign Consensus Clustering.ICC 2026(CCF C,卓越期刊)

[3]Wenyu Fang,Yanhua Liu*,Wei Huang,Wenzhong Guo,Tianrui Li.SCFGL: Soft Clustering Based Federated Graph Learning on Non-IID Graphs.Pattern Recognition.202604,https://doi.org/10.1016/j.patcog.2025.112498 (SCI,中科院1区TOP,CCF B)

[4]W. Fang, W. Huang, Y. Liu, J. Liu and T. Li, "Multi-Party Federated Urban Flow Mining and Analysis Based on Lazy Aggregation," in IEEE Transactions on Knowledge and Data Engineering, vol. 38, no. 1, pp. 475-488.(SCI,中科院1区TOP)

[5]Jia-Li Yin; Weijian Wang; W. Lin; Yanhua Liu et al; Adversarial-Inspired Backdoor Defense via Bridging Adversarial and Backdoor Attacks, AAAI 2025. (CCF A)

[6]刘延华,方文昱,郭文忠,赵宝康,黄维.基于联邦增量学习的SDN环境下DDoS攻击检测模型.计算机学报,2024,47(12):2852-2866.(CCF A 国内顶刊)

[7]Yanhua Liu,Yuting Han,Hui Chen,et al.IGED: Towards Intelligent DDoS Detection Model using Improved Generalized Entropy and DNN.Computers, Materials & Continua 2024,80(2),1851-1866.(SCI,中科院4区)

[8]Z.Liu, L.Hu,Z.Cai,Yanhua Liu et al. "SeCoSe: Towards Searchable and Communicable Healthcare Service Seeking in Flexible and Secure EHR Sharing," in IEEE Transactions on Information Forensics and Security(TIFS).(SCI,中科院1区TOP)

[9]Yanhua Liu,Wentao Deng,et al.Semi-supervised Attack Detection in Industrial Control Systems with Deviation Networks and Feature Selection.The Journal of Supercomputing,2024.(SCI,中科院3区)

[10]Yanhua Liu,Zhihuang Liu,Qiu Zhang,Jinshu Su,et al.Blockchain and trusted reputation as sessment-based incentive mechanism for healthcare services[J].Future Generation Computer Systems(FGCS),Volume 154,2024,Pages 59-71.(SCI,中科院2区TOP)

[11]刘延华,李嘉琪,欧振贵,等.对抗训练驱动的恶意代码检测增强方法[J].通信学报,2022,43(9):169-180.(EI,CCF T1)

[12]Yanhua Liu,Zhihuang Liu,et al.A Web Back-end Database Leakage Incident Reconstruction Framework over Unlab eled Logs[J].IEEE Transactions on Emerging Topics in Computing,2022.(SCI,中科院2区)