Fangwei Wang

According to our database, Fangwei Wang authored at least 37 papers between 2005 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Preserving Differential Privacy in Deep Learning Based on Feature Relevance Region Segmentation.

Fangwei Wang, Meiyun Xie, Zhiyuan Tan, Qingru Li, Changguang Wang

IEEE Trans. Emerg. Top. Comput., 2024

MalSort: Lightweight and efficient image-based malware classification using masked self-supervised framework with Swin Transformer.

Fangwei Wang, Xipeng Shi, Fang Yang, Ruixin Song, Qingru Li, Zhiyuan Tan, Changguang Wang

J. Inf. Secur. Appl., 2024

2023

A Probability Mapping-Based Privacy Preservation Method for Social Networks.

Qingru Li, Yahong Wang, Fangwei Wang, Zhiyuan Tan, Changguang Wang

Proceedings of the Ubiquitous Security, 2023

Self-attention is What You Need to Fool a Speaker Recognition System.

Fangwei Wang, Ruixin Song, Zhiyuan Tan, Qingru Li, Changguang Wang, Yong Yang

Proceedings of the 22nd IEEE International Conference on Trust, 2023

A Multivariate Time Series Anomaly Detection Model Based on Spatio-Temporal Dual Features.

Fangwei Wang, Man Yan, Qingru Li, Changguang Wang

Proceedings of the International Conference on Networking and Network Applications, 2023

Efficient Black-Box Adversarial Attacks with Training Surrogate Models Towards Speaker Recognition Systems.

Fangwei Wang, Ruixin Song, Qingru Li, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

An Android Malware Detection Method Based on Metapath Aggregated Graph Neural Network.

Qingru Li, Yufei Zhang, Fangwei Wang, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2023

2022

An Efficient Deep Unsupervised Domain Adaptation for Unknown Malware Detection.

Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang

Symmetry, 2022

Toward machine intelligence that learns to fingerprint polymorphic worms in IoT.

Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li, Kehinde O. Babaagba, Zhiyuan Tan

Int. J. Intell. Syst., 2022

A Label Flipping Attack on Machine Learning Model and Its Defense Mechanism.

Qingru Li, Xinru Wang, Fangwei Wang, Changguang Wang

Proceedings of the Algorithms and Architectures for Parallel Processing, 2022

A Co-evolutionary Algorithm-Based Malware Adversarial Sample Generation Method.

Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang, Yonglei Bai

Proceedings of the IEEE Conference on Dependable and Secure Computing, 2022

2021

Binary Black-Box Adversarial Attacks with Evolutionary Learning against IoT Malware Detection.

Fangwei Wang, Yuanyuan Lu, Changguang Wang, Qingru Li

Wirel. Commun. Mob. Comput., 2021

A Novel Malware Detection and Family Classification Scheme for IoT Based on DEAM and DenseNet.

Changguang Wang, Ziqiu Zhao, Fangwei Wang, Qingru Li

Secur. Commun. Networks, 2021

An internet of things malware classification method based on mixture of experts neural network.

Fangwei Wang, Shaojie Yang, Qingru Li, Changguang Wang

Trans. Emerg. Telecommun. Technol., 2021

2020

A Novel Identity-based Authentication Scheme for IoV Security.

Changguang Wang, Zimeng Dai, Dongmei Zhao, Fangwei Wang

Int. J. Netw. Secur., 2020

MagNet with Randomization Defense against Adversarial Examples.

Fangwei Wang, Guofang Chai, Qingru Li, Changguang Wang

Proceedings of the International Conference on Networking and Network Applications, 2020

A Novel Intrusion Detection System for Malware Based on Time-Series Meta-learning.

Fangwei Wang, Shaojie Yang, Changguang Wang, Qingru Li

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

A Feature-Based Detection System of Adversarial Sample Attack.

Fangwei Wang, Yuanyuan Lu, Qingru Li, Changguang Wang

Proceedings of the Machine Learning for Cyber Security - Third International Conference, 2020

2019

An Automatic Signature-Based Approach for Polymorphic Worms in Big Data Environment.

Fangwei Wang, Shaojie Yang, Dongmei Zhao, Changguang Wang

Proceedings of the 2019 International Conference on Networking and Network Applications, 2019

2017

An SVEIR Defending Model with Partial Immunization for Worms.

Fangwei Wang, Hongfeng Gao, Yong Yang, Changguang Wang

Int. J. Netw. Secur., 2017

2016

Analysis of SVEIR worm attack model with saturated incidence and partial immunization.

Fangwei Wang, Wen-Yan Huang, Yulong Shen, Changguang Wang

J. Commun. Inf. Networks, 2016

Stability Analysis of a Worm Propagation Model with Quarantine and Vaccination.

Fangwei Wang, Fang Yang, Changguang Wang, Dongmei Zhao, Yunkai Zhang

Int. J. Netw. Secur., 2016

Analysis of an SEIVR Epidemic Model with Partial Immunization and Nonlinear Infection Rate.

Fangwei Wang, Changguang Wang, Dongmei Zhao, Yunkai Zhang

Proceedings of the International Conference on Networking and Network Applications, 2016

An Improved Algorithm of Node Credibility Management for Lightweight WSN.

Liye Peng, Fangwei Wang, Changguang Wang

Proceedings of the International Conference on Networking and Network Applications, 2016

2015

A Worm Defending Model with Partial Immunization and Its Stability Analysis.

Fangwei Wang, Yong Yang, Dongmei Zhao, Yunkai Zhang

J. Commun., 2015

Global Analysis of a SEIQV Epidemic Model for Scanning Worms with Quarantine Strategy.

Fangwei Wang, Yunkai Zhang, Yong Yang, Jianfang Ma

Int. J. Netw. Secur., 2015

Stability analysis of an <i>e</i>-<i>SEIAR</i> model with point-to-group worm propagation.

Fangwei Wang, Yunkai Zhang, Changguang Wang, Jianfeng Ma

Commun. Nonlinear Sci. Numer. Simul., 2015

Incorporating Big Data Analytics into Enterprise Information Systems.

Zhaohao Sun, Francisca Pambel, Fangwei Wang

Proceedings of the Information and Communication Technology, 2015

2014

Stability Analysis of a SEIQRS Model with Graded Infection Rates for Internet Worms.

Fangwei Wang, Fang Yang, Yunkai Zhang, Jianfeng Ma

J. Comput., 2014

2013

Combating Good Point Set Scanning-based Self-learning Worms by Using Predators.

Fangwei Wang, Yunkai Zhang, Honggang Guo, Changguang Wang

Int. J. Netw. Secur., 2013

2010

Modelling and Analyzing Passive Worms over Unstructured Peer-to-Peer Networks.

Fangwei Wang, Yunkai Zhang, Jianfeng Ma

Int. J. Netw. Secur., 2010

Stability analysis of a SEIQV epidemic model for rapid spreading worms.

Fangwei Wang, Yunkai Zhang, Changguang Wang, Jianfeng Ma, Sang-Jae Moon

Comput. Secur., 2010

Combating self-learning worms by using predators.

Fangwei Wang, Yunkai Zhang, Honggang Guo, Changguang Wang

Proceedings of the IEEE International Conference on Wireless Communications, 2010

2009

Modeling and analysis of a self-learning worm based on good point set scanning.

Fangwei Wang, Yunkai Zhang, Jianfeng Ma

Wirel. Commun. Mob. Comput., 2009

Defending passive worms in unstructured P2P networks based on healthy file dissemination.

Fangwei Wang, Yunkai Zhang, Jianfeng Ma

Comput. Secur., 2009

Predators Combat Good Point Set Scanning-Based Self-Learning Worms.

Fangwei Wang, Yunkai Zhang, Changguang Wang, Jianfeng Ma

Proceedings of the 2009 International Conference on Computational Intelligence and Security, 2009

2005

Worm Propagation Modeling and Analysis on Network.

Yunkai Zhang, Fangwei Wang, Changguang Wang, Jianfeng Ma

Proceedings of the Computational Intelligence and Security, International Conference, 2005