学位/职称：工学博士/副教授
出生年月： 1982年10 月
招生专业：专硕（计算机技术、人工智能、网络与信息安全）
学硕（计算机科学与技术、信息与通信工程）
电话/微信： 15779073066
E-Mail：wangzhendong@jxust.edu.cn
王振东，工学博士，副教授，硕士研究生导师，IEEE会员，CCSS会员，CCF会员，CCF网络与系统安全专业委员会执行委员，CCF网络与数据通信、计算机安全、互联网专委委员，国家自然科学基金评审专家，国家一流本科课程评审专家，国家级规划教材评审专家，江西省科技项目评审专家，江西省数字政府建设专家，赣州市科技项目评审专家，赣州市网络安全专家，Sensors客座编辑，Advanced Information and Communication青年编委，《计算机科学与探索》青年编委，《西安邮电大学学报》青年编委，斯坦福大学& Elsevier 2025全球前2%顶尖科学家。长期从事机器学习、深度学习、入侵检测、边缘计算、人工智能安全相关领域的教学与科研工作。先后主持国家自然科学基金项目2项，江西省自然科学基金4项，江西省教改课题2项，教育部产学研协同育人项目1项，江西省教育厅项目1项，参与国家及省部级科研项目10余项。以第一/通信在国内外高水平期刊IEEE Internet of Things Journal、IEEE Sensors Journal、Expert Systems With Applications、Knowledge-Based Systems、International Journal of Intelligent Systems、Neurocomputing、Computers & Security、Computer Networks、Ad hoc Networks、Alexandria Engineering Journal、Egyptian Informatics Journal、Advances in Engineering Software、Soft Computing、Cluster Computing、Security and Communication Networks、Journal of Supercomputing 、Wireless Communications & Mobile Computing、Electronics、IEEE Access、PeerJ Computer Science、Peer-to-Peer Networking and Applications、International Journal of Computers, Communications & Control、自动化学报、通信学报、计算机研究与发展、计算机科学与探索、传感技术学报等发表高水平科研论文90余篇，其中ESI高被引论文2篇，他引2000余次。出版学术专著1部，授权发明专利20项，转让15项，获省部级科技奖励1项。担任IEEE Transactions on Mobile Computing、IEEE Internet of Things Journal、IEEE Network、Pattern Recognition、Knowledge-Based Systems、Artificial Intelligence Review、Neural Networks、Engineering Applications of Artificial Intelligence 、Journal of Network and Computer Applications、Complex & Intelligent Systems、Mobile Networks & Applications、Applied intelligence、IEEE Access、Neural Computing & Applications、Computers, Materials & Continua、Computer Modeling in Engineering & Sciences、Journal of Intelligent & Fuzzy Systems、Sensors、IET Communications、Heliyon、自动化学报、电子学报、传感技术学报、计算机科学与探索、计算机科学、计算机工程与应用、计算机工程、浙江大学学报（工学版）等学术期刊审稿人。
研究方向： 1. 人工智能（机器学习、深度学习、联邦学习、迁移学习等）
2. 边缘计算（物联网/车联网/空天地一体化网络边缘计算）
3. 网络与人工智能安全（车联网/物联网入侵检测、加密恶意流量检测、深度伪造检测、对抗样本、隐私保护、恶意代码检测等）
欢迎思维活跃、热爱科研，有较强自主学习与动手能力的同学加入团队。
科研项目：
1.国家自然科学基金项目，无线传感器网络覆盖优化与路由研究，35万，主持
2.国家自然科学基金项目，服务协作的物联网自适应服务机制研究，40万，主持
3.江西省自然科学基金项目，工业互联网高级持续性威胁检测研究，10万，主持
4.江西省自然科学基金项目，复杂物联网安全威胁自适应检测机制研究，10万，主持
5.江西省自然科学基金项目，智慧物联网的认知服务模型与实现方法研究，6万，主持
6.江西省自然科学基金项目，认知无线网络认知接入模型研究，5万，主持
7.江西省教育厅科学技术项目，基于异常网络行为的网络安全态势感知研究，2万，主持
8.国家自然科学基金项目，基于策略梯度学习的自由化模糊控制研究，35万，参与
9.国家自然科学基金项目，分数阶忆阻细胞神经网络的动力学行为与突触可塑性研究，42万，参与
10.国家自然科学基金项目，无线传感器网络定位技术研究，38万，参与
11.国家自然科学基金项目，面向服务的自律网络适变机理与实现方法研究，75万，参与
教研项目：
1.江西省教改课题，面向信息类专业的新工科多方协同育人培养模式研究与实践. 主持
2.江西省教改课题，产业学院背景下信息安全专业应用型本科人才培养路径. 主持
3.教育部产学研协同育人项目，工业互联网安全新工科建设. 主持
4.江西理工大学教改课题，新工科背景下基于CDIO的信息类研究生创新型人才培养模式改革与实践. 主持
5.江西理工大学课程思政项目，无线传感器网络. 主持
代表性论文：
1.Wang Zhendong, Cao Silong, Yang Shuxin, He Daojing, Sammy Chan. ACRM: An Adaptive Cluster Radius Multi hop Routing Protocol with Direction-Awareness for Large-Scale WSNs. IEEE Internet of Things Journal. 2026.（JCR1，IF: 8.9）
2.Zhendong Wang, Xiping Zhou, Huamao Xie, Dahai Li, Daojing He, Sammy Chan. CMSM: Cross-Modal Semantic Matching for Lightweight IDS in the IoV. Computer Networks. 2026.（JCR1，IF: 4.6）
3.Zhendong Wang, Jie Wang, Huamao Xie, Dahai Li. HCRS: Hierarchical cooperative recombination strategy for many-objective multi-UAV path planning. Advances in Engineering Software. 2026. （JCR1，IF: 5.7）
4.Yang Shuxin, Fang Xiao, Zhu Guixiang, Huang Jian, Ma Fumin, Wang Youquan, Wang Zhendong. Influence maximization in social networks based on long-term and short-term interest fusion reverse influence sampling. Engineering Applications of Artificial Intelligence.2026. （JCR1，IF: 8）
5.Zhou Renqiang, Wang Zhendong*, Shuxin Yang, Daojing He，Sammy Chan. Lightweight Model-Contrastive Federated Learning with Multi Center Clustering for IoT Intrusion Detection. Knowledge-Based Systems. 2025. （JCR1，IF: 7.6）
6.Zhou Renqiang, Wang Zhendong*, Shuxin Yang, Daojing He，Sammy Chan. Federated learning based on two-stage knowledge distillation for intrusion detection in industrial IoT. Expert Systems With Applications. 2025. （JCR1，IF: 7.5）
7.Wang Zhendong, Zhang Kaiyi, Yang Shuxin, He Daojing, Sammy Chan. Enhancing Android Malware Detection via Knowledge Distillation on Homogenized FunctionCall Graphs. Knowledge-Based Systems. 2025. （JCR1，IF: 7.6）
8.Zhendong Wang, Jiaqi Bao, Xiao Luo, Zhiyuan Zeng, Daojing He, Chan Sammy. Application of Dual-channel High-order Graph Neural Network for Intrusion Detection with Semi-supervised Learning. Cluster Computing. 2025. （JCR1，IF: 4.5）
9.Li Dahai, Huang Rui, Wang Zhendong. Enhanced sparrow optimization algorithm with hybrid producer selection and scale-free network-guided update. Cluster Computing. 2025. （JCR1，IF: 4.5）
10.Yangxin, Wang Zhendong*, Yang Shuxin, Li Dahai, Sammy Chan. A knowledge distillation-based lightweight intrusion detection method for the Internet of Things. Cluster Computing. 2025. （JCR1，IF: 4.5）
11.Donghui Dai, Zhendong Wang*, Zhiyuan Zeng, Daojing He, Chan Sammy.Sand Cat Swarm Optimization combining Adam and Monte Carlo Tree Search is used to solve complex optimization problems. Cluster Computing. 2025. （JCR1，IF: 4.5）
12.Biao Xie, Zhendong Wang*, Zhiyuan Zeng, Daojing He, Sammy Chan. DTKD-IDS: A Dual-Teacher Knowledge Distillation Intrusion Detection Model for the Industrial Internet of Things. Ad Hoc Networks, 2025. （JCR1，IF: 4.8）
13.Zhendong Wang, Yaozhong Yang, Xiao Luo, Daojing He, Chan Sammy. Energy efficient clustering and routing for wireless sensor networks by applying a spider wasp optimizer. Ad Hoc Networks, 2025. （JCR1，IF: 4.8）
14.Wang Zhendong, Zhou Renqiang, Yang Shuxin, He Daojing, Sammy Chan. A Novel Lightweight IoT Intrusion Detection Model Based on Self-knowledge Distillation. IEEE Internet of Things Journal. 2025. （JCR1，IF: 8.9）
15.Wang Zhendong, Shu Lei, Yang Shuxin, Zeng Zhiyuan, He Daojing, Sammy Chan. Multi-population Dynamic Grey Wolf Optimizer Based on Dimension Learning and Laplace Mutation for global optimization. Expert Systems With Applications. 2025. （JCR1，IF: 7.5）
16.Zeng Weibing, Wang Zhendong*, Yang Shuxin, He Daojing, Sammy Chan. ICMH-CHR: An intra-cluster multi-hop based cluster head rotation protocol for wireless sensor networks. Ad hoc Networks. 2025. （JCR1，IF: 4.8）
17.Hui Chen, Zhendong Wang*, Shuxin Yang, Xiao Luo, Daojing He, Sammy Chan. Intrusion detection using synaptic intelligent convolutional neural networks for dynamic Internet of Things environments. Alexandria Engineering Journal. 2025. （JCR1，IF: 6.8）
18.Zhendong Wang, Biao Xie, Shuxin Yang, Dahai Li, Junling Wang, Sammy Chan. A deep residual SConv1D-attention intrusion detection model for industrial Internet of Things. Cluster Computing. 2024. （JCR1，IF: 4.5）
19.Wang Zhendong, Zeng Weibing, Yang Shuxin, He Daojing, Sammy Chan. UCRTD: An Unequally Clustered Routing Protocol Based on Multi Hop Threshold Distance for Wireless Sensor Networks. IEEE Internet of Things Journal. 2024. （JCR1，IF: 8.9）
20.Wang Zhendong, Yang Xin, Zeng Zhiyuan, He Daojing, Sammy Chan. A Hierarchical Hybrid Intrusion Detection Model for Industrial Internet of Things. Peer-to-Peer Networking and Applications.2024. （JCR3，IF: 2.6）
21.Shaoqin Li, Zhendong Wang*. Internet of Things Intrusion Detection: Research and Practice of NSENet and LSTM Fusion Models. Egyptian Informatics Journal. 2024. （JCR1，IF:4.3）
22.Zhendong Wang, Donghui Dai, Zhiyuan Zeng, Daojing He, Sammy Chan. Multi-strategy enhanced Grey Wolf Optimizer for global optimization and real world problems. Cluster Computing. 2024. （JCR1，IF: 4.5）
23.Zhendong Wang, Kaifa Zeng, Junling Wang, Dahai Li. FAGnet: Family-aware-based Android Malware Analysis Using Graph Neural Network. Knowledge-Based Systems.2024. （JCR1，IF: 7.6）
24.Shuxin Yang, Quanming Du, Guixiang Zhu, Jie Cao, Weiping Qin, Youquan Wang, Zhendong Wang. Neural attentive influence maximization model in social networks via reverse influence sampling on historical behavior sequences. Expert Systems With Applications. 2024.（JCR1，IF: 7.5）
25.Jianlan Wang, Zhendong Wang*, Shuxin Yang, Junling Wang, Dahai Li. Reinforcement Learning Marine Predators Algorithm for global optimization.Cluster Computing. 2024. （JCR1，IF: 4.5）
26.Zhendong Wang, Jingfei Li, Zhenyu Xu, Shuxin Yang, Daojin He, Sammy Chan. Application of deep neural network with frequency domain filtering in the field of intrusion detection. International Journal of Intelligent Systems.2023. （JCR2，IF:3.7）
27.Zhendong Wang, Jingfei Li, Shuxin Yang, Xiao Luo, Dahai Li, Soroosh Mahmoodi. A lightweight IoT intrusion detection model based on improved BERT-of-Theseus. Expert Systems With Applications. 2023. （JCR1，IF: 7.5）
28.Zhendong Wang, Lili Huang, Shuxin Yang, Xiao Luo, Daojing He, Sammy Chan. Multi-strategy enhanced grey wolf algorithm for obstacle-aware WSNs coverage optimization. Ad Hoc Networks. 2023. （JCR1，IF: 4.8）
29.Zhendong Wang, Lili Huang, Shuxin Yang, Dahai Li, Daojing He, Sammy Chan. A quasi-oppositional learning of updating quantum state and Q-learning based on the Dung beetle algorithm for global optimization. Alexandria Engineering Journal. 2023. （JCR1，IF: 6.8）
30.Zhendong Wang, Liwei Shao, Shuxin Yang, Wang Junlin, Li Dahai. CRLM: A cooperative model based on reinforcement learning and metaheuristic algorithms of routing protocols in wireless sensor networks. Computer Networks. 2023. （JCR1，IF: 4.6）
31.Zhendong Wang, Hui Chen, Shuxin Yang, Xiao Luo, Dahai Li, Junling Wang. A lightweight intrusion detection method for IoT based on Deep learning and Dynamic quantization. PeerJ Computer Science.2023. （JCR2，IF: 2.5）
32.Wang Zhendong, Jianlan Wang, Dahai Li, Donglin Zhu. A Multi-Strategy Sparrow Search Algorithm with Selective Ensemble. Electronics.2023. （JCR2，IF: 2.6）
33.王振东，徐振宇等. 面向入侵检测的元图神经网络构建与分析. 自动化学报. 2023.
34.Shuxin Yang, Xiaoyang Chang, Guixiang Zhu, Jie Cao, Weiping Qin, Youquan Wang, Zhendong Wang. GAA-PPO: A novel graph adversarial attack method by incorporating proximal policy optimization. Neurocomputing. 2023. （JCR1，IF: 6.5）
35.Yaodi Liu, Kun Zhang, Zhendong Wang. Intrusion detection of manifold regularized broad learning system based on LU decomposition. Journal of Supercomputing. 2023. （JCR2，IF: 2.7）
36.Wang Zhendong, Li Zeyu, He Daojing, Sammy Chan. A Lightweight Approach for Network Intrusion Detection in Industrial Cyber-Physical Systems Based on Knowledge Distillation and Deep Metric Learning. Expert Systems With Applications. 2022. （JCR1，IF: 7.5）
37.Wang Zhendong, Shao Liwei, Yang Shuxin, Wang Junling. LEMH: Low-Energy-First Electoral Multipath Alternating Multihop Routing Algorithm for Wireless Sensor Networks. IEEE Sensors Journal. 2022. （JCR1，IF: 4.5）
38.Zhendong Wang, Hang Xiao, Shuxin Yang, Junling Wang, Soroosh Mahmoodi. Multi-Strategy Integrated Marine Predator Algorithm Applied to 3D Surface WSN Coverage Optimization. Wireless Communications & Mobile Computing. 2022. （JCR3，IF: 1.6）
39.王振东，刘尧迪等. 基于天牛群优化与改进正则化极限学习机的网络入侵检测.自动化学报，2022.
40.Wang Zhendong, Liu Yaodi, He Daojing, Sammy Chan. Intrusion Detection Methods Based on Integrated Deep Learning Model. Computers & Security, 2021. （JCR1，IF: 5.4）
41.Wang Zhendong, Xu Zhenyu, He Daojing, Sammy Chan. Deep Logarithmic Neural Network for Internet Intrusion Detection. Soft Computing. 2021. （JCR2，IF:1.8）
42.Wang Zhendong, Li Zeyu, Wang Junlin, Li Dahai. Network intrusion detection model based on improved BYOL self-supervised learning. Security and Communication Networks. 2021. （JCR2，IF: 2.6）
43.Wang Zhendong, Zeng Yong, Liu Yaodi, Li Dahai. Deep Belief Network Integrating Improved Kernel-based Extreme Learning Machine for Network Intrusion Detection. IEEE Access, 2021. （JCR2，IF: 3.6）
44.Wang Zhendong, Xie Huamao. Wireless sensor network deployment of 3D surface based on enhanced grey wolf optimizer. IEEE Access, 2020. （JCR2，IF: 3.6）
45.Elin Chen, Junfu Chen, Ali Wagdy Mohamed, Bi Wang，Zhendong Wang, Yang Chen. Swarm Intelligence Application to UAV Aided IoT Data Acquisition Deployment Optimization. IEEE Access, 2020. （JCR2，IF: 3.6）
46.Wang Zhendong, Xie Huamao, He daojing, Sammy Chan. Wireless sensor network deployment optimization based on two flower pollination algorithms. IEEE Access, 2019. （JCR2，IF: 3.6）
47.Zhu qiang, Wang Huiqiang, Lv Hongwu, Feng Guangsheng, Wang Zhendong. A Hybrid Reliable Heuristic Mapping Method Based on Survivable Virtual Networks for Network Virtualization, Discrete Dynamics in Nature and Society, 2015. （JCR3，IF: 2.6）
48.Wang Zhendong, Wang Huiqiang, Lv Hongwu, Feng Guangsheng. Spectrum Migration Approach Based on Pre-decision Aid and Interval Mamdani Fuzzy Inference in Cognitive Radio Networks. International Journal of Computers, Communications & Control. 2014. （JCR3，IF: 1.6）
49.Xiaoming Chen, Huiqiang Wang, Hongwu Lv, Amjad Ali, Zhendong Wang. Application of Fuzzy Comprehensive Evaluation in Cognitive Networks for Optimal Network Selection，Applied Mathematics & Information Sciences. 2014. （JCR3，IF: 1.2）
授权发明专利：
1.王振东, 李泽煜, 陈潇潇, 杨书新, 王俊岭, 李大海. 一种网络物理系统入侵检测方法. 专利号：ZL 202210446927.2.
2.王振东，邵历伟，王俊岭，杨书新，陈潇潇. 一种低能量优先的选举分级多路径非均匀分簇方法. 专利号：ZL 202210445766.5.
3.王振东，李泽煜，王俊岭，杨书新，李大海，陈潇潇. 基于自监督学习和自知识蒸馏的物联网入侵检测方法. 专利号：ZL 202210446932.3.
4.曾致远，王振东，温卫，王俊岭. 李大海. 一种无线传感器网络真实地形覆盖优化方法. 专利号：ZL 202410551828.X.
5.王振东，无线传感器网络部署优化方法、装置、系统及存储介质. 专利号：ZL201911018983.0
6.王振东，徐振宇，李大海，杨书新，王俊岭. 一种入侵检测方法、系统、设备及可读存储介质. 专利号：ZL202011264132.7
7.王振东，谢华茂，王俊岭，李大海，曾珽.一种鬣狗群捕食算法及其在节点部署优化中应用的方法. 专利号：ZL201911108850.2
8.王振东，张林，李大海，杨书新，王俊岭. 一种入侵检测方法、系统、设备及可读存储介质. 专利号：ZL202011625202.7
9.王振东，刘燔桃，胡中栋，李大海，温卫. 基于改进差分进化算法的传感器网络节点优化部署方法. 专利号：ZL201910318330.8
10.王振东，汪嘉宝，李大海，杨书新，王俊岭. 一种增强型麻雀搜索算法的无线传感器网络优化覆盖方案. 专利号：ZL202011522803.5
11.王振东. 改进天牛群算法优化正则化极限学习机的入侵检测方法. 专利号：ZL202010117309.4
12.王振东，谢华茂，胡中栋，李大海，王俊岭. 基于改进狼群算法的无线传感器网络节点优化部署方法. 专利号：ZL201910318340.1
13.王振东，张林，王俊岭，李大海，杨书新. 一种基于Taylor神经网络的入侵检测方法及系统. 专利号：ZL202110280565.X
14.王振东，曾勇，李大海，杨书新，王俊岭. 一种入侵检测方法、系统、设备及可读存储介质.专利号：ZL202011264133.1
15.王振东，陈峨霖，胡中栋. 基于混沌优化细菌觅食算法的传感器节点部署策略. 专利号：ZL 201710401253.3
16.胡中栋，王振东，王俊岭，曾珽，易涛. 无线传感器网络节点定位方法及装置. 专利号：ZL 201710423451.X
17.胡中栋，王振东，王俊岭，曾珽. 一种分簇路由方法及系统. 专利号：ZL 201810388409.3.
18.温 卫，王振东，王俊岭.贪婪地理路由协议Hello报文交换方法. 专利号：ZL201610416214.6.
19.温 卫，巫光福，王俊岭，王振东. 贪婪地理路由协议切线切换空洞处理的路由方法. 专利号：ZL 201610256710.X
20.温 卫，巫光福，王振东. 基于软间隔支持向量机的车载容迟网网络编码最大流设定方法. 专利号：ZL202210026465.9
出版著作：
1.王振东. 基于深度学习的网络入侵检测模型与算法研究. 吉林大学出版社. 2024.
科技奖励：
1.王慧强, 吕宏武, 徐俊波, 林俊宇, 李冰洋, 陈晓明, 王振东, 朱强, 陈艳萍, 于翔. 智慧社区系统研究及应用. 黑龙江省科技进步二等奖. 2015.
