Hengwei Zhang (0000-0002-1649-7336)

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Hengwei Zhang received the B.S. degree in computer science and technology from Zhengzhou University in 2000, the M.S. degree in computer science and technology from Information Engineering University in 2007, and the Ph.D. degree in cyberspace security from Information Engineering University, Zhengzhou, China, in 2014.
He is a Professor with the School of Information Science and Technology, Information Engineering University, Zhengzhou, China.
His current research interests include cyber security, intelligent decision, network security game theory, AI adversarial attack and defense.
He has published more than 20 research articles in respected journals such as IEEE TIFS, TDSC, TNSM, TST, and Elsevier CSR, including several ESI Highly Cited articles. He has been granted over 30 invention patents.

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State Key Laboratory of Mathematical Engineering and Advanced Computing: Zhengzhou, Henan, CN

2020-01-01 to present | Professor

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Hengwei Zhang

https://orcid.org/0000-0002-1649-7336

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State Key Laboratory of Mathematical Engineering and Advanced Computing: Zhengzhou, Henan, CN

Henan Key Laboratory of Information Security: Zhengzhou, Henan, CN

Information Engineering University: Zhengzhou, HeNan, CN

Education and qualifications (1)

Information Engineering University: Zhengzhou, Henan, CN

Works (50 of 59)

Adversarial Example Soups: Improving Transferability and Stealthiness for Free

A Deep Reinforcement Learning-Based Deception Asset Selection Algorithm in Differential Games

Adversarial example soups: averaging multiple adversarial examples improves transferability without increasing additional generation time

An open‐set method for automatic recognition of low probability of intercept radar waveforms based on reciprocity points learning

An adversarial example attack method based on predicted bounding box adaptive deformation in optical remote sensing images

A differential game approach for real-time security defense decision in scale-free networks

A survey: When moving target defense meets game theory

Adversarial Example Attack Method Based on Salient Region Optimization

WF-MTD: Evolutionary Decision Method for Moving Target Defense Based on Wright-Fisher Process

Image classification adversarial attack with improved resizing transformation and ensemble models

Security defense decision method based on potential differential game for complex networks

Evolutionary game decision-making method for network attack and defense based on regret minimization algorithm

Adversarial example generation with adabelief optimizer and crop invariance

Adversarial Examples Generation Method Based on Random Translation Transformation

Misleading Image Classification with Multi-shearing and Random Padding

Network Security Defense Decision Method Based on Time Game

Random Transformation of image brightness for adversarial attack

Research review of network defense decision-making methods based on attack and defense game

Cybersecurity Threat Assessment Integrating Qualitative Differential and Evolutionary Games

A Markov Signaling Game-Theoretic Approach to Moving Target Defense Strategy Selection,基于多阶段Markov信号博弈的移动目标防御最优决策方法

Adversarial example generation with AdaBelief Optimizer and Crop Invariance

Modeling of Network Attack and Defense Behavior and Analysis of Situation Evolution Based on Game Theory,基于博弈论的网络攻防行为建模与态势演化分析

Random transformation of image brightness for adversarial attack

Network defense decision-making based on a stochastic game system and a deep recurrent Q-network

Optimal temporospatial strategy selection approach to moving target defense: A FlipIt differential game model

Optimal Network Defense Strategy Selection Method: A Stochastic Differential Game Model

Boosting Adversarial Attacks on Neural Networks with Better Optimizer

Boosting adversarial attacks on neural networks with better optimizer

Moving Target Defense Decision-Making Method: A Dynamic Markov Differential Game Model

Network dynamic defense system based on holographic transformation

Optimal strategy selection approach of moving target defense based on Markov time game,基于Markov时间博弈的移动目标防御最优策略选取方法

Optimal Timing Selection Approach to Moving Target Defense: A FlipIt Attack-Defense Game Model

Research on Network Attack and Defense Situation Based on Game Theory Model and NetLogo Simulation,基于博弈模型与NetLogo仿真的网络攻防态势研究

Optimal Network Defense Strategy Selection Method Based on Evolutionary Network Game

Markov Differential Game Model and Its Application in Network Security,Markov微分博弈模型及其在网络安全中的应用

Optimal strategy selection method for moving target defense based on signaling game,基于信号博弈的移动目标防御最优策略选取方法

Active Defense Strategy Selection Method Based on Two-Way Signaling Game

A Method for Selecting Defense Strategies Based on Stochastic Evolutionary Game Model,基于随机演化博弈模型的网络防御策略选取方法

APT-oriented Dynamic Assessment of Attack Behaviors,面向APT攻击的攻击行为动态评估方法

Diversified recommendation method combining topic model and random walk

High-dimensional Clustering Method Based on Variant Bat Algorithm,一种基于变异蝙蝠算法的高维聚类方法

Improving replicator dynamic evolutionary game model for selecting optimal defense strategies,基于改进复制动态演化博弈模型的最优防御策略选取

Multi-constraint Service Selection Based on Decomposition of Global QoS,基于全局QoS分解的多约束服务选取方法

Network defense decision-making method based on stochastic differential game model

Network Defense Strategy Selection Method Based on Markov Evolutionary Game,基于Markov演化博弈的网络防御策略选取方法

Network security threat warning method based on qualitative differential game,基于定性微分博弈的网络安全威胁预警方法

Personalized Service Recommendation Method Based on Random Walk and Diversified Graph Ranking,基于随机游走和多样性图排序的个性化服务推荐方法

Recommendations based on listwise learning-to-rank by incorporating social information

Service Recommended Trust Algorithm Based on Cloud Model Attributes Weighted Clustering,云模型属性加权聚类服务推荐信任度算法

Trust expansion and listwise learning-to-rank based service recommendation method,基于信任扩展和列表级排序学习的服务推荐方法

Peer review (21 reviews for 8 publications/grants)