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2020 – today
- 2024
[j29]Ming Zhang
, Yongkang Chen, Hu Li, Cheng Qian, Xiaohui Kuang:
Dynamic loss yielding more transferable targeted adversarial examples. Neurocomputing 590: 127754 (2024)- [j28]Yafeng Li, Changchun Li, Qian Cheng, Fuyi Duan, Weiguang Zhai, Zongpeng Li, Bohan Mao, Fan Ding, Xiaohui Kuang, Zhen Chen:
Estimating Maize Crop Height and Aboveground Biomass Using Multi-Source Unmanned Aerial Vehicle Remote Sensing and Optuna-Optimized Ensemble Learning Algorithms. Remote. Sens. 16(17): 3176 (2024) - [c70]Wei Kong, Hu Li, Qianjin Du, Huayang Cao, Xiaohui Kuang:
A New Perspective of Deep Learning Testing Framework: Human-Computer Interaction Based Neural Network Testing. ICRA 2024: 16299-16305 - [c69]Tong Wang, Taotao Gu, Huan Deng, Hu Li, Xiaohui Kuang, Gang Zhao:
Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing. ISSTA 2024: 1086-1098 - [i1]Tong Wang, Taotao Gu, Huan Deng, Hu Li, Xiaohui Kuang, Gang Zhao:
Dance of the ADS: Orchestrating Failures through Historically-Informed Scenario Fuzzing. CoRR abs/2407.04359 (2024) - 2023
- [j27]Tao Zhang, Changqiao Xu, Yibo Lian, Haijiang Tian, Jiawen Kang, Xiaohui Kuang, Dusit Niyato:
When Moving Target Defense Meets Attack Prediction in Digital Twins: A Convolutional and Hierarchical Reinforcement Learning Approach. IEEE J. Sel. Areas Commun. 41(10): 3293-3305 (2023) - [j26]Tengchao Ma, Changqiao Xu, Shujie Yang, Yiting Huang, Qingzhao An, Xiaohui Kuang, Luigi Alfredo Grieco:
A Mutation-Enabled Proactive Defense Against Service-Oriented Man-in-The-Middle Attack in Kubernetes. IEEE Trans. Computers 72(7): 1843-1856 (2023) - [j25]Zan Zhou, Changqiao Xu, Ming-Ze Wang, Xiaohui Kuang, Yirong Zhuang, Shui Yu:
A Multi-Shuffler Framework to Establish Mutual Confidence for Secure Federated Learning. IEEE Trans. Dependable Secur. Comput. 20(5): 4230-4244 (2023) - [j24]Tao Zhang, Changqiao Xu, Bingchi Zhang, Xinran Li, Xiaohui Kuang, Luigi Alfredo Grieco:
Towards Attack-Resistant Service Function Chain Migration: A Model-Based Adaptive Proximal Policy Optimization Approach. IEEE Trans. Dependable Secur. Comput. 20(6): 4913-4927 (2023) - [j23]Tao Zhang, Changqiao Xu, Jiahao Shen, Xiaohui Kuang, Luigi Alfredo Grieco:
How to Disturb Network Reconnaissance: A Moving Target Defense Approach Based on Deep Reinforcement Learning. IEEE Trans. Inf. Forensics Secur. 18: 5735-5748 (2023) - [j22]Tao Zhang, Changqiao Xu, Ping Zou, Haijiang Tian, Xiaohui Kuang, Shujie Yang, Lujie Zhong, Dusit Niyato:
How to Mitigate DDoS Intelligently in SD-IoV: A Moving Target Defense Approach. IEEE Trans. Ind. Informatics 19(1): 1097-1106 (2023) - [c68]Wei Kong, Qianjin Du, Huayang Cao, Hu Li, Tong Wang, Jianwen Tian, Xiaohui Kuang:
Test Suite Generation Based on Context-Adapted Structural Coverage for Testing DNN. APNOMS 2023: 1-6 - [c67]Qianjin Du, Xiaohui Kuang, Xiang Li, Gang Zhao:
Fine-Grained Software Vulnerability Detection via Neural Architecture Search. DASFAA (4) 2023: 224-238 - [c66]Yaning Zheng, Dongxia Wang, Huayang Cao, Cheng Qian, Xiaohui Kuang, Honglin Zhuang:
A Study on Vulnerability Code Labeling Method in Open-Source C Programs. DEXA (1) 2023: 52-67 - [c65]Hu Li, Qiongmin Ma, Ming Zhang, Xiaohui Kuang:
Machine Learning Security Analysis Framework Based on Threat Matrix. DSC 2023: 456-460 - [c64]Jiahe Ji, Wei Kong, Jianwen Tian, Taotao Gu, Yuanping Nie, Xiaohui Kuang:
Survey on Fuzzing Techniques in Deep Learning Libraries. DSC 2023: 461-467 - [c63]Qianjin Du, Shiji Zhou, Xiaohui Kuang, Gang Zhao, Jidong Zhai:
Joint Geometrical and Statistical Domain Adaptation for Cross-domain Code Vulnerability Detection. EMNLP 2023: 12791-12800 - [c62]Qianjin Du, Wei Kun, Xiaohui Kuang, Xiang Li, Gang Zhao:
Automated Software Vulnerability Detection via Curriculum Learning. ICME 2023: 2855-2860 - [c61]Huan Deng, Minhuan Huang, Tong Wang, Hu Li, Jianwen Tian, Qian Yan, Xiaohui Kuang:
ADV-POST: Physically Realistic Adversarial Poster for Attacking Semantic Segmentation Models in Autonomous Driving. ICONIP (13) 2023: 351-364 - [c60]Tong Wang, Xiaohui Kuang, Huan Deng, Taotao Gu, Wei Kong, Jianwen Tian, Gang Zhao:
Risk Scenario Generation for Autonomous Driving Systems based on Scenario Evaluation Model. IJCNN 2023: 1-8 - [c59]Tong Wang, Xiaohui Kuang, Hu Li, Qianjin Du, Zhanhao Hu, Huan Deng, Gang Zhao:
Driving into Danger: Adversarial Patch Attack on End-to-End Autonomous Driving Systems Using Deep Learning. ISCC 2023: 995-1000 - [c58]Jingjing Wang, Minhuan Huang, Yuanping Nie, Xiaohui Kuang, Xiang Li, Wenjing Zhong:
Fine-Grained Source Code Vulnerability Detection via Graph Neural Networks (S). SEKE 2023: 222-227 - [c57]Jianwen Tian, Kefan Qiu, Debin Gao, Zhi Wang, Xiaohui Kuang, Gang Zhao:
Sparsity Brings Vulnerabilities: Exploring New Metrics in Backdoor Attacks. USENIX Security Symposium 2023: 2689-2706 - 2022
- [j21]Qikun Zhang, Kunyuan Zhao, Xiaohui Kuang, Yongjiao Li, Yuanpan Zheng, Junling Yuan, Ruifang Wang:
Multidomain security authentication for the Internet of things. Concurr. Comput. Pract. Exp. 34(16) (2022) - [j20]Zhi Wang, Leshi Shao, Kai Cheng, Yuanzhao Liu, Jianan Jiang, Yuanping Nie, Xiang Li, Xiaohui Kuang:
ICDF: Intrusion collaborative detection framework based on confidence. Int. J. Intell. Syst. 37(10): 7180-7199 (2022) - [j19]Tengchao Ma, Changqiao Xu, Shujie Yang, Yiting Huang, Xiaohui Kuang, Hong Tang, Luigi Alfredo Grieco:
An intelligent proactive defense against the client-side DNS cache poisoning attack via self-checking deep reinforcement learning. Int. J. Intell. Syst. 37(10): 8170-8197 (2022) - [j18]Tao Zhang, Changqiao Xu, Bingchi Zhang, Jiahao Shen, Xiaohui Kuang, Luigi Alfredo Grieco:
Toward Attack-Resistant Route Mutation for VANETs: An Online and Adaptive Multiagent Reinforcement Learning Approach. IEEE Trans. Intell. Transp. Syst. 23(12): 23254-23267 (2022) - [c56]Yabin Li, Yuanping Nie, Xiaohui Kuang:
Fuzzing DBMS via NNLM. DSC 2022: 367-374 - [c55]Qianjin Du, Xiaohui Kuang, Gang Zhao:
Code Vulnerability Detection via Nearest Neighbor Mechanism. EMNLP (Findings) 2022: 6173-6178 - [c54]Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang, Han Zhang, Xuhong Zhang:
A Data-free Black-box Attack for Generating Transferable Adversarial Examples. HPCC/DSS/SmartCity/DependSys 2022: 672-678 - [c53]Tengchao Ma, Changqiao Xu, Qingzhao An, Xiaohui Kuang, Lujie Zhong, Luigi Alfredo Grieco:
A Proactive Defense Strategy Against SGX Side-channel Attacks via self-checking DRL in the Cloud. ICC 2022: 4174-4179 - [c52]Chenxu Wang, Ming Zhang, Jinjing Zhao, Xiaohui Kuang:
Black-Box Adversarial Attacks on Deep Neural Networks: A Survey. ICDIS 2022: 88-93 - [c51]Mingyuan Ma, Hu Li, Xiaohui Kuang:
Detecting Backdoor Attacks on Deep Neural Networks Based on Model Parameters Analysis. ICTAI 2022: 630-637 - [c50]Ming Zhang, Xiaohui Kuang, Hu Li, Zhendong Wu, Yuanping Nie, Gang Zhao:
Improving Transferability of Adversarial Examples with Virtual Step and Auxiliary Gradients. IJCAI 2022: 1629-1635 - [c49]Shangyuan Zhuang, Jiyan Sun, Hangsheng Zhang, Xiaohui Kuang, Ling Pang, Haitao Liu, Yinlong Liu:
StinAttack: A Lightweight and Effective Adversarial Attack Simulation to Ensemble IDSs for Satellite- Terrestrial Integrated Network. ISCC 2022: 1-8 - [c48]Yucheng Shi, Yahong Han, Yu-an Tan, Xiaohui Kuang:
Decision-based Black-box Attack Against Vision Transformers via Patch-wise Adversarial Removal. NeurIPS 2022 - [c47]Taotao Gu, Xiang Li, Shuaibing Lu, Jianwen Tian, Yuanping Nie, Xiaohui Kuang, Zhechao Lin, Chenyifan Liu, Jie Liang, Yu Jiang:
Group-based corpus scheduling for parallel fuzzing. ESEC/SIGSOFT FSE 2022: 1521-1532 - [c46]Yongkang Chen, Ming Zhang, Jin Li, Xiaohui Kuang, Xuhong Zhang, Han Zhang:
Dynamic and Diverse Transformations for Defending Against Adversarial Examples. TrustCom 2022: 976-983 - [c45]Xuewei Feng, Qi Li, Kun Sun, Zhiyun Qian, Gang Zhao, Xiaohui Kuang, Chuanpu Fu, Ke Xu:
Off-Path Network Traffic Manipulation via Revitalized ICMP Redirect Attacks. USENIX Security Symposium 2022: 2619-2636 - 2021
- [j17]Changqiao Xu, Tao Zhang, Xiaohui Kuang, Zan Zhou, Shui Yu:
Context-Aware Adaptive Route Mutation Scheme: A Reinforcement Learning Approach. IEEE Internet Things J. 8(17): 13528-13541 (2021) - [j16]Xiaohui Kuang, Xianfeng Gao, Lianfang Wang, Gang Zhao, Lishan Ke, Quanxin Zhang:
A discrete cosine transform-based query efficient attack on black-box object detectors. Inf. Sci. 546: 596-607 (2021) - [j15]Yajie Wang, Haoran Lv, Xiaohui Kuang, Gang Zhao, Yu-an Tan, Quanxin Zhang, Jingjing Hu:
Towards a physical-world adversarial patch for blinding object detection models. Inf. Sci. 556: 459-471 (2021) - [j14]Yutian Zhou, Yu-an Tan, Quanxin Zhang, Xiaohui Kuang, Yahong Han, Jingjing Hu:
An Evolutionary-Based Black-Box Attack to Deep Neural Network Classifiers. Mob. Networks Appl. 26(4): 1616-1629 (2021) - [j13]Xianmin Wang, Xiaohui Kuang, Jin Li, Jing Li, Xiaofeng Chen, Zheli Liu:
Oblivious Transfer for Privacy-Preserving in VANET's Feature Matching. IEEE Trans. Intell. Transp. Syst. 22(7): 4359-4366 (2021) - [c44]Yinfan Qin, Xiang Li, Jianwen Tian, Taotao Gu, Xiaohui Kuang:
Gradient-oriented gray-box protocol fuzzing. DSC 2021: 353-360 - [c43]Yabin Li, Yinfan Qin, Jianwen Tian, Taotao Gu, Yuanping Nie, Xiaohui Kuang:
Generating Highly Structured Inputs: A Survey. DSC 2021: 466-473 - [c42]Wei Kong, Huayang Cao, Jianwen Tian, Xiaohui Kuang:
Detecting Adversarial Samples in Neural Network with Statistical Metrics: A Practical Approach. DSC 2021: 662-669 - [c41]Haitao Zhang, Yucheng Shi, Benyu Dong, Yahong Han, Yuanzhang Li, Xiaohui Kuang:
Free Adversarial Training with Layerwise Heuristic Learning. ICIG (2) 2021: 120-131 - [c40]Jiahao Shen, Tao Zhang, Bingchi Zhang, Weixiao Ji, Xiaohui Kuang, Changqiao Xu:
PPO-RM: Proximal Policy Optimization Based Route Mutation for Multimedia Services. IWCMC 2021: 35-40 - 2020
- [j12]Jingjing Hu, Shuangshuang Guo, Xiaohui Kuang, Fankun Meng, Dongsheng Hu, Zhiyu Shi:
I-HMM-Based Multidimensional Network Security Risk Assessment. IEEE Access 8: 1431-1442 (2020) - [j11]Zan Zhou, Xiaohui Kuang, Limin Sun, Lujie Zhong, Changqiao Xu:
Endogenous Security Defense against Deductive Attack: When Artificial Intelligence Meets Active Defense for Online Service. IEEE Commun. Mag. 58(6): 58-64 (2020) - [j10]Jing Li, Xiaohui Kuang, Shujie Lin, Xu Ma, Yi Tang:
Privacy preservation for machine learning training and classification based on homomorphic encryption schemes. Inf. Sci. 526: 166-179 (2020) - [j9]Yajie Wang, Yu-an Tan, Wenjiao Zhang, Yuhang Zhao, Xiaohui Kuang:
An adversarial attack on DNN-based black-box object detectors. J. Netw. Comput. Appl. 161: 102634 (2020) - [j8]Yucheng Shi, Yahong Han, Quanxin Zhang, Xiaohui Kuang:
Adaptive iterative attack towards explainable adversarial robustness. Pattern Recognit. 105: 107309 (2020) - [j7]Xiang Li, Yuanping Nie, Zhi Wang, Xiaohui Kuang, Kefan Qiu, Cheng Qian, Gang Zhao:
BMOP: Bidirectional Universal Adversarial Learning for Binary OpCode Features. Wirel. Commun. Mob. Comput. 2020: 8876632:1-8876632:11 (2020) - [c39]Tengchao Ma, Changqiao Xu, Zan Zhou, Xiaohui Kuang, Lujie Zhong, Luigi Alfredo Grieco:
Intelligent-driven Adapting Defense Against the Client-side DNS Cache Poisoning in the Cloud. GLOBECOM 2020: 1-6 - [c38]Zan Zhou, Changqiao Xu, Tengchao Ma, Xiaohui Kuang:
Multi-vNIC Intelligent Mutation: A Moving Target Defense to thwart Client-side DNS Cache Attack. ICC 2020: 1-6 - [c37]Haitao Zhang, Fan Jia, Quanxin Zhang, Yahong Han, Xiaohui Kuang, Yu-an Tan:
Two-Way Feature-Aligned And Attention-Rectified Adversarial Training. ICME 2020: 1-6 - [c36]Ming Zhang, Hu Li, Xiaohui Kuang, Yuanping Nie, Cheng Qian, Zhendong Wu, Gang Zhao:
Non-norm-bounded Attack for Generating Adversarial Examples. ICONIP (5) 2020: 420-428 - [c35]Cheng Qian, Ming Zhang, Xiaohui Kuang, Gang Zhao:
A Study on Mesh Hybrid Memory Cube Network. ISPASS 2020: 218-219 - [c34]Tao Zhang, Changqiao Xu, Bingchi Zhang, Xiaohui Kuang, Yue Wang, Shujie Yang, Gabriel-Miro Muntean:
DQ-RM: Deep Reinforcement Learning-based Route Mutation Scheme for Multimedia Services. IWCMC 2020: 291-296 - [c33]Meng Ming, Gang Zhao, Xiaohui Kuang, Lu Liu, Ruyun Zhang:
An Adaptive Data Protection Scheme for Optimizing Storage Space. ML4CS (2) 2020: 250-260 - [c32]Xiangxiang Jiang, Yuxi Ma, Gang Zhao, Xiaohui Kuang, Yuanzhang Li, Ruyun Zhang:
A File-Level Continuous Data Protection Scheme for Enforcing Security Baseline. ML4CS (1) 2020: 519-529 - [c31]Shuaibing Lu, Xiaohui Kuang, Yuanping Nie, Zhechao Lin:
A Hybrid Interface Recovery Method for Android Kernels Fuzzing. QRS 2020: 335-346 - [c30]Jianping Yu, Gang Zhao, Xiaohui Kuang, Ruyun Zhang:
A Real-Time Audio and Video Streaming Transmission Scheme for Social Media. SocialSec 2020: 143-152 - [c29]Lianfang Wang, Ye Wang, Gang Zhao, Lu Liu, Xiaohui Kuang:
Keeping Privacy Data Secure Under Factory Recovery. SocialSec 2020: 224-233 - [c28]Ming Yan, Bo Zhang, Gang Zhao, Xiaohui Kuang, Lu Liu, Ruyun Zhang:
An Intelligent File Transfer Optimization for Poor Network Conditions. SocialSec 2020: 234-244 - [c27]Shuo Feng, Yu-an Tan, Gang Zhao, Xiaohui Kuang, Xiao Yu, Juan Wang:
A VirtualXposed-Based Inline Hooking Framework for Android Native Methods. SocialSec 2020: 245-253 - [c26]Kai Yang, Ling Pang, Bo Zhang, Gang Zhao, Xiaohui Kuang:
An Android Data Protection Scheme for System-as-Root Architectures. SocialSec 2020: 254-262 - [c25]Xuewei Feng, Dongxia Wang, Zhechao Lin, Xiaohui Kuang, Gang Zhao:
Enhancing Randomization Entropy of x86-64 Code while Preserving Semantic Consistency. TrustCom 2020: 1-12
2010 – 2019
- 2019
- [j6]Xiaohui Kuang, Hongyi Liu, Ye Wang, Qikun Zhang, Quanxin Zhang, Jun Zheng:
A CMA-ES-Based Adversarial Attack on Black-Box Deep Neural Networks. IEEE Access 7: 172938-172947 (2019) - [j5]Feng Guo, Qingjie Zhao, Xuan Li, Xiaohui Kuang, Jianwei Zhang, Yahong Han, Yu-an Tan:
Detecting adversarial examples via prediction difference for deep neural networks. Inf. Sci. 501: 182-192 (2019) - [j4]Xianmin Wang, Jing Li, Xiaohui Kuang, Yu-an Tan, Jin Li:
The security of machine learning in an adversarial setting: A survey. J. Parallel Distributed Comput. 130: 12-23 (2019) - [j3]Qiang Liu, Xiaohui Kuang, Hua Chen, Xiang Li, Guangke Li:
一种基于程序切片相似度匹配的脆弱性发现方法 (Vulnerability Discovery Approach Based on Similarity Matching of Program Slicing). 计算机科学 46(7): 126-132 (2019) - [c24]Xinxin Wang, Yuanzhang Li, Quanxin Zhang, Xiaohui Kuang:
Boosting Training for PDF Malware Classifier via Active Learning. CSS (2) 2019: 101-110 - [c23]Xiaohui Kuang, Ming Zhang, Hu Li, Gang Zhao, Huayang Cao, Zhendong Wu, Xianmin Wang:
DeepWAF: Detecting Web Attacks Based on CNN and LSTM Models. CSS (2) 2019: 121-136 - [c22]Yaxiao Wang, Yuanzhang Li, Quanxin Zhang, Jingjing Hu, Xiaohui Kuang:
Evading PDF Malware Classifiers with Generative Adversarial Network. CSS (1) 2019: 374-387 - [c21]Tao Zhang, Xiaohui Kuang, Zan Zhou, Hongquan Gao, Changqiao Xu:
An Intelligent Route Mutation Mechanism against Mixed Attack Based on Security Awareness. GLOBECOM 2019: 1-6 - [c20]Zan Zhou, Changqiao Xu, Xiaohui Kuang, Tao Zhang, Limin Sun:
An Efficient and Agile Spatio-Temporal Route Mutation Moving Target Defense Mechanism. ICC 2019: 1-6 - [c19]Ming Zhang, Hu Li, Xiaohui Kuang, Ling Pang, Zhendong Wu:
Neuron Selecting: Defending Against Adversarial Examples in Deep Neural Networks. ICICS 2019: 613-629 - [c18]Aming Wu, Yahong Han, Quanxin Zhang, Xiaohui Kuang:
Untargeted Adversarial Attack via Expanding the Semantic Gap. ICME 2019: 514-519 - [c17]Tengchao Ma, Changqiao Xu, Zan Zhou, Xiaohui Kuang, Lujie Zhong:
SE-PSO: Resource Scheduling Strategy for Multimedia Cloud Platform Based on Security Enhanced Virtual Migration. IWCMC 2019: 650-655 - [c16]Jinjing Zhao, Yan Wen, Xiang Li, Ling Pang, Xiaohui Kuang, Dongxia Wang:
A heuristic fuzz test generator for Java native interface. SQUADE@ESEC/SIGSOFT FSE 2019: 1-7 - 2018
- [c15]Honghao Yang, Dong Liang, Xiaohui Kuang, Changqiao Xu:
A Vulnerability Test Method for Speech Recognition Systems Based on Frequency Signal Processing. DSC 2018: 943-947 - [c14]Liang Ming, Gang Zhao, Minhuan Huang, Xiaohui Kuang, Hu Li, Ming Zhang:
Security Analysis of Intelligent Transportation Systems Based on Simulation Data. ICDIS 2018: 184-187 - [c13]Xiaohui Kuang, Jin Li, Fei Xu:
Network Traffic Generator Based on Distributed Agent for Large-Scale Network Emulation Environment. IScIDE 2018: 68-79 - [c12]Jinjing Zhao, Ling Pang, Xiaohui Kuang, Rong Jin:
Balancing the QOS and Security in Dijkstra Algorithm by SDN Technology. NPC 2018: 126-131 - [c11]Liang Ming, Gang Zhao, Minhuan Huang, Xiaohui Kuang, Jingzhe Zhang, Huayang Cao, Fei Xu:
A General Testing Framework Based on Veins for Securing VANET Applications. SmartWorld/SCALCOM/UIC/ATC/CBDCom/IOP/SCI 2018: 2068-2073 - 2017
- [c10]Zhechao Lin, Xiang Li, Xiaohui Kuang:
Machine Learning in Vulnerability Databases. ISCID (1) 2017: 108-113 - 2016
- [j2]Xiaohui Kuang, Jin Li, Gang Zhao:
一种基于多层拓扑的大规模分布式系统结构脆弱性分析算法 (Multilayer Topology Structural Vulnerability Analysis Algorithm for Large-scale Distributed System). 计算机科学 43(8): 26-29 (2016) - [c9]Jie Gong, Xiaohui Kuang, Qiang Liu:
Survey on Software Vulnerability Analysis Method Based on Machine Learning. DSC 2016: 642-647 - 2015
- [j1]Xiaohui Kuang, Li Liu, Qiang Liu, Xiang Li:
A clustering approach based on convergence degree chain for wireless sensor networks. Secur. Commun. Networks 8(10): 1878-1889 (2015) - 2014
- [c8]Xiaohui Kuang, Bowen Li, Li Liu:
On Effectiveness of Clustering Principles in Maximizing Wireless Sensor Network Lifespan. WASA 2014: 412-423 - 2013
- [c7]Xiaohui Kuang, Xiang Li, Jinjing Zhao:
Architecture of Network Environment for High-Risk Security Experimentation. ICT-EurAsia 2013: 479-484 - 2012
- [c6]Qiang Liu, Li Liu, Xiaohui Kuang, Yan Wen:
Secure Service and Management for Security-Critical Wireless Sensor Network. IMIS 2012: 445-449 - 2011
- [c5]Liang Ming, Minhuan Huang, Dongxia Wang, Xiaohui Kuang, Chunlei Wang, Xuewei Feng:
Research on survivability metrics based on survivable process of network system. SIN 2011: 247-250 - 2010
- [c4]Yan Wen, Minhuan Huang, Jinjing Zhao, Xiaohui Kuang:
Implicit detection of stealth software with a local-booted virtual machine. ICIS 2010: 152-157
2000 – 2009
- 2009
- [c3]Gang Zhao, Xiaohui Kuang, Weimin Zheng:
An Emulation Environment for Vulnerability Analysis of Large-Scale Distributed System. GCC 2009: 97-105 - [c2]Minhuan Huang, Xiaohui Kuang, Yan Wen, Hong Tang, Fei Xu:
Research on Technologies of Building Experimental Environment for Network Worm Simulation. ICPADS 2009: 902-906 - 2005
- [c1]Guangming Hu, Xiaohui Kuang, Zhenghu Gong:
A Cluster-Based Group Rekeying Algorithm in Mobile Ad Hoc Networks. ICCNMC 2005: 344-353
Coauthor Index
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