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2020 – today
- 2024
[j16]Fangwei Wang, Xipeng Shi, Fang Yang, Ruixin Song, Qingru Li, Zhiyuan Tan, Changguang Wang:
MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer. J. Inf. Secur. Appl. 83: 103784 (2024)- [j15]Fangwei Wang
, Meiyun Xie, Zhiyuan Tan, Qingru Li, Changguang Wang:
Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation. IEEE Trans. Emerg. Top. Comput. 12(1): 307-315 (2024) - 2023
- [c22]Fangwei Wang, Ruixin Song, Qingru Li, Changguang Wang:
Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems. ICA3PP (5) 2023: 257-276 - [c21]Qingru Li, Yufei Zhang, Fangwei Wang, Changguang Wang:
An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network. ICA3PP (3) 2023: 344-357 - [c20]Fangwei Wang, Man Yan, Qingru Li, Changguang Wang:
A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features. NaNA 2023: 416-421 - [c19]Fangwei Wang, Ruixin Song, Zhiyuan Tan, Qingru Li, Changguang Wang, Yong Yang:
Self-attention is What You Need to Fool a Speaker Recognition System. TrustCom 2023: 929-936 - [c18]Qingru Li, Yahong Wang, Fangwei Wang, Zhiyuan Tan, Changguang Wang:
A Probability Mapping-Based Privacy Preservation Method for Social Networks. UbiSec 2023: 289-303 - 2022
- [j14]Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li, Kehinde O. Babaagba, Zhiyuan Tan:
Toward machine intelligence that learns to fingerprint polymorphic worms in IoT. Int. J. Intell. Syst. 37(10): 7058-7078 (2022) - [j13]Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang:
An Efficient Deep Unsupervised Domain Adaptation for Unknown Malware Detection. Symmetry 14(2): 296 (2022) - [c17]Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang, Yonglei Bai:
A Co-evolutionary Algorithm-Based Malware Adversarial Sample Generation Method. DSC 2022: 1-8 - [c16]Qingru Li, Xinru Wang, Fangwei Wang, Changguang Wang:
A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism. ICA3PP 2022: 490-506 - 2021
- [j12]Fangwei Wang, Shaojie Yang, Qingru Li, Changguang Wang:
An internet of things malware classification method based on mixture of experts neural network. Trans. Emerg. Telecommun. Technol. 32(5) (2021) - [j11]Changguang Wang, Ziqiu Zhao, Fangwei Wang, Qingru Li:
A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet. Secur. Commun. Networks 2021: 6658842:1-6658842:16 (2021) - [j10]Fangwei Wang, Yuanyuan Lu, Changguang Wang, Qingru Li:
Binary Black-Box Adversarial Attacks with Evolutionary Learning against IoT Malware Detection. Wirel. Commun. Mob. Comput. 2021: 8736946:1-8736946:9 (2021) - [j9]Bin Xie, Xinyu Dong, Changguang Wang:
An Improved K -Means Clustering Intrusion Detection Algorithm for Wireless Networks Based on Federated Learning. Wirel. Commun. Mob. Comput. 2021: 9322368:1-9322368:15 (2021) - 2020
- [j8]Changguang Wang, Zimeng Dai, Dongmei Zhao, Fangwei Wang:
A Novel Identity-based Authentication Scheme for IoV Security. Int. J. Netw. Secur. 22(4): 627-637 (2020) - [c15]Xing Wei, Shaofan Liu, Changguang Wang, Yaoci Xiang, Xuanyuan Qiao, Zhangling Duan, Chong Zhao, Yang Lu:
Class-unbalanced domain adaptation for object detection via dynamic weighting mechanism. 3DV 2020: 495-503 - [c14]Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li:
A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning. ML4CS (1) 2020: 50-64 - [c13]Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang:
A Feature-Based Detection System of Adversarial Sample Attack. ML4CS (2) 2020: 494-500 - [c12]Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang:
MagNet with Randomization Defense against Adversarial Examples. NaNA 2020: 316-320 - [c11]Xing Wei, Changguang Wang, Haitao Zhang, Shaofan Liu, Yang Lu:
Non-pre-trained Mine Pedestrian Detection Based on Automatic Generation of Anchor Box. WASA (2) 2020: 122-130
2010 – 2019
- 2019
- [c10]Fangwei Wang, Shaojie Yang, Dongmei Zhao, Changguang Wang:
An Automatic Signature-Based Approach for Polymorphic Worms in Big Data Environment. NaNA 2019: 223-228 - 2017
- [j7]Fangwei Wang, Hongfeng Gao, Yong Yang, Changguang Wang:
An SVEIR Defending Model with Partial Immunization for Worms. Int. J. Netw. Secur. 19(1): 20-26 (2017) - 2016
- [j6]Fangwei Wang, Fang Yang, Changguang Wang, Dongmei Zhao, Yunkai Zhang:
Stability Analysis of a Worm Propagation Model with Quarantine and Vaccination. Int. J. Netw. Secur. 18(3): 493-500 (2016) - [j5]Fangwei Wang, Wen-Yan Huang, Yulong Shen, Changguang Wang:
Analysis of SVEIR worm attack model with saturated incidence and partial immunization. J. Commun. Inf. Networks 1(4): 105-115 (2016) - [c9]Liye Peng, Fangwei Wang, Changguang Wang:
An Improved Algorithm of Node Credibility Management for Lightweight WSN. NaNA 2016: 99-102 - [c8]Fangwei Wang, Changguang Wang, Dongmei Zhao, Yunkai Zhang:
Analysis of an SEIVR Epidemic Model with Partial Immunization and Nonlinear Infection Rate. NaNA 2016: 307-312 - 2015
- [j4]Fangwei Wang, Yunkai Zhang, Changguang Wang, Jianfeng Ma:
Stability analysis of an e-SEIAR model with point-to-group worm propagation. Commun. Nonlinear Sci. Numer. Simul. 20(3): 897-904 (2015) - 2013
- [j3]Shuai Fu, Jianfeng Ma, Hongtao Li, Changguang Wang:
Energy-Balanced Separating Algorithm for Cluster-Based Data Aggregation in Wireless Sensor Networks. Int. J. Distributed Sens. Networks 9 (2013) - [j2]Fangwei Wang, Yunkai Zhang, Honggang Guo, Changguang Wang:
Combating Good Point Set Scanning-based Self-learning Worms by Using Predators. Int. J. Netw. Secur. 15(3): 171-178 (2013) - 2011
- [c7]Xiangyu Sun, Changguang Wang:
The Research of Security Technology in the Internet of Things. CSISE (2) 2011: 113-119 - 2010
- [j1]Fangwei Wang, Yunkai Zhang, Changguang Wang, Jianfeng Ma, Sang-Jae Moon:
Stability analysis of a SEIQV epidemic model for rapid spreading worms. Comput. Secur. 29(4): 410-418 (2010) - [c6]Fangwei Wang, Yunkai Zhang, Honggang Guo, Changguang Wang:
Combating self-learning worms by using predators. WCNIS 2010: 607-611
2000 – 2009
- 2009
- [c5]Fangwei Wang, Yunkai Zhang, Changguang Wang, Jianfeng Ma:
Predators Combat Good Point Set Scanning-Based Self-Learning Worms. CIS (1) 2009: 418-422 - [c4]Changguang Wang, Shuai Fu, Xu Bai, Li-jing Bai:
Risk Perception in Modeling Malware Propagation in Networks. CSIE (3) 2009: 35-39 - [c3]Zhicheng Wei, Puping Zhang, Changguang Wang:
Image Watermarking Based on an Improved Subsampling Framework. CSIE (7) 2009: 276-279 - 2008
- [c2]Changguang Wang, Xu Bai, Shuai Fu, Jianfeng Ma:
Modeling Malicious Code Spread in Scale-Free Networks of Moving Agents. CSSE (3) 2008: 546-549 - 2005
- [c1]Yunkai Zhang, Fangwei Wang, Changguang Wang, Jianfeng Ma:
Worm Propagation Modeling and Analysis on Network. CIS (2) 2005: 476-481
Coauthor Index
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