Xin-jun Pei

According to our database, Xin-jun Pei authored at least 22 papers between 2019 and 2024.

Collaborative distances:

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

2024

Efficient malware detection through inter-component communication analysis.

Peng Chen, Shengwei Tian, Xin Wang, Xinjun Pei, Weitao Nong, Hao Zhang

Clust. Comput., November, 2024

E-DBRL: efficient double broad reinforcement learning for adaptive traffic signal control.

Xiaoheng Deng, Shunmeng Yin, Xinjun Pei, Lixin Lin, Xuechen Chen, Jinsong Gui

Appl. Intell., September, 2024

A Trusted Edge Computing System Based on Intelligent Risk Detection for Smart IoT.

Xiaoheng Deng, Bin Chen, Xuechen Chen, Xinjun Pei, Shaohua Wan, Sotirios K. Goudos

IEEE Trans. Ind. Informatics, February, 2024

Complex Graph Analysis and Representation Learning: Problems, Techniques, and Applications.

Xinjun Pei, Xiaoheng Deng, Neal N. Xiong, Shahid Mumtaz, Jie Wu

IEEE Trans. Netw. Sci. Eng., 2024

TransMalDE: An Effective Transformer Based Hierarchical Framework for IoT Malware Detection.

Xiaoheng Deng, Zhe Wang, Xinjun Pei, Kaiping Xue

IEEE Trans. Netw. Sci. Eng., 2024

Privacy-Enhanced Graph Neural Network for Decentralized Local Graphs.

Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Jianqing Liu, Kaiping Xue

IEEE Trans. Inf. Forensics Secur., 2024

SecBFL-IoV: A Secure Blockchain-Enabled Federated Learning Framework for Resilience Against Poisoning Attacks in Internet of Vehicles.

Irshad Ullah, Xiaoheng Deng, Xinjun Pei, Husnain Mushtaq

Proceedings of the Pattern Recognition and Computer Vision - 7th Chinese Conference, 2024

Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing.

Yunlong Zhao, Xiaoheng Deng, Yijing Liu, Xinjun Pei, Jiazhi Xia, Wei Chen

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

AdaTrans: An adaptive transformer for IoT Malware detection based on sensitive API call graph and inter-component communication analysis.

Feng Pi, Shengwei Tian, Xinjun Pei, Peng Chen, Xin Wang, Xiaowei Wang

J. Intell. Fuzzy Syst., December, 2023

A verifiable and privacy-preserving blockchain-based federated learning approach.

Irshad Ullah, Xiaoheng Deng, Xinjun Pei, Ping Jiang, Husnain Mushtaq

Peer Peer Netw. Appl., September, 2023

Edge-Based IIoT Malware Detection for Mobile Devices With Offloading.

Xiaoheng Deng, Xinjun Pei, Shengwei Tian, Lan Zhang

IEEE Trans. Ind. Informatics, July, 2023

Flow Topology-Based Graph Convolutional Network for Intrusion Detection in Label-Limited IoT Networks.

Xiaoheng Deng, Jincai Zhu, Xinjun Pei, Lan Zhang, Zhen Ling, Kaiping Xue

IEEE Trans. Netw. Serv. Manag., March, 2023

MDHE: A Malware Detection System Based on Trust Hybrid User-Edge Evaluation in IoT Network.

Xiaoheng Deng, Haowen Tang, Xinjun Pei, Deng Li, Kaiping Xue

IEEE Trans. Inf. Forensics Secur., 2023

A Knowledge Transfer-Based Semi-Supervised Federated Learning for IoT Malware Detection.

Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Lan Zhang, Kaiping Xue

IEEE Trans. Dependable Secur. Comput., 2023

Parallel Gradient Blend for Class Incremental Learning.

Yunlong Zhao, Xiaoheng Deng, Xinjun Pei, Xuechen Chen, Deng Li

Proceedings of the IEEE International Conference on Image Processing, 2023

Efficient Privacy Preserving Graph Neural Network for Node Classification.

Xinjun Pei, Xiaoheng Deng, Shengwei Tian, Kaiping Xue

Proceedings of the IEEE International Conference on Acoustics, 2023

2021

Malicious URL Detection Based on a Parallel Neural Joint Model.

Jianting Yuan, Guanxin Chen, Shengwei Tian, Xinjun Pei

IEEE Access, 2021

2020

A Two-Stream Network Based on Capsule Networks and Sliced Recurrent Neural Networks for DGA Botnet Detection.

Xinjun Pei, Shengwei Tian, Long Yu, Huanhuan Wang, Yongfang Peng

J. Netw. Syst. Manag., 2020

Combining multi-features with a neural joint model for Android malware detection.

Xin-jun Pei, Long Yu, Shengwei Tian, Huan-huan Wang, Yongfang Peng

J. Intell. Fuzzy Syst., 2020

Malicious webpages analysis and detection algorithm based on BiLSTM.

Huanhuan Wang, Long Yu, Shengwei Tian, Shiqi Luo, Xin-jun Pei

Int. J. Electron. Bus., 2020

AMalNet: A deep learning framework based on graph convolutional networks for malware detection.

Xin-jun Pei, Long Yu, Shengwei Tian

Comput. Secur., 2020

2019

Bidirectional LSTM Malicious webpages detection algorithm based on convolutional neural network and independent recurrent neural network.

Huan-huan Wang, Long Yu, Shengwei Tian, Yongfang Peng, Xin-jun Pei

Appl. Intell., 2019