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Jiazhong Lu
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2020 – today
- 2025
- [j19]Hongyu Lu, Jiajia Liu, Jimin Peng, Jiazhong Lu:
Adversarial attacks based on time-series features for traffic detection. Comput. Secur. 148: 104175 (2025) - 2024
- [j18]Chunwang Wu, Xiaolei Liu, Kangyi Ding, Bangzhou Xin, Jiazhong Lu, Jiayong Liu, Cheng Huang:
Attack detection model for BCoT based on contrastive variational autoencoder and metric learning. J. Cloud Comput. 13(1): 125 (2024) - [j17]Jiazhong Lu
, Chenli Wang
An Adversarial Example Defense Algorithm for Intelligent Driving. IEEE Netw. 38(6): 98-105 (2024) - [j16]Zhaorong Liu
HyGloadAttack: Hard-label black-box textual adversarial attacks via hybrid optimization. Neural Networks 178: 106461 (2024) - [c3]Shuyu Wan, Bo Xian, Yongli Wang, Jiazhong Lu:
Methods for Detecting XSS Attacks Based on BERT and BiLSTM. ICMSS 2024: 1-7 - 2023
- [j15]Jiazhong Lu
Anti-Attack Intrusion Detection Model Based on MPNN and Traffic Spatiotemporal Characteristics. J. Grid Comput. 21(4): 60 (2023) - 2021
- [j14]Teng Hu, Xiaolei Liu, Ting Chen, Xiaosong Zhang, Xiaoming Huang, Weina Niu, Jiazhong Lu
Transaction-based classification and detection approach for Ethereum smart contract. Inf. Process. Manag. 58(2): 102462 (2021) - [j13]Jiazhong Lu, Weisha Zhang, Ziye Deng, Shibin Zhang, Yan Chang, Xiaolei Liu
Research on information steganography based on network data stream. Neural Comput. Appl. 33(3): 851-866 (2021) - [j12]Xiaheng Zhang, Jiazhong Lu, Doudou Li:
Confidential information protection method of commercial information physical system based on edge computing. Neural Comput. Appl. 33(3): 897-907 (2021) - [j11]Yuanyuan Huang
A Hybrid Association Rule-Based Method to Detect and Classify Botnets. Secur. Commun. Networks 2021: 1028878:1-1028878:9 (2021) - 2020
- [j10]Xin Niu
Moving target defense controller of mobile system based on Openflow sensor security scheme. Comput. Commun. 161: 142-149 (2020) - [j9]Jiazhong Lu, Xiaosong Zhang, Xiaolei Liu, Teng Hu, Yu Cao:
An equalisation control method for network big data transmission based on parallel computing. Int. J. Internet Protoc. Technol. 13(1): 32-38 (2020) - [j8]Jiazhong Lu, Xiaolei Liu
Research and Analysis of Electromagnetic Trojan Detection Based on Deep Learning. Secur. Commun. Networks 2020: 6641844:1-6641844:13 (2020) - [c2]Xiaolei Liu, Teng Hu, Kangyi Ding, Yang Bai, Weina Niu, Jiazhong Lu:
A Black-Box Attack on Neural Networks Based on Swarm Evolutionary Algorithm. ACISP 2020: 268-284
2010 – 2019
- 2019
- [j7]Jiazhong Lu
A temporal correlation and traffic analysis approach for APT attacks detection. Clust. Comput. 22(Supplement): 7347-7358 (2019) - [j6]Jiazhong Lu
A Lockable Abnormal Electromagnetic Signal Joint Detection Algorithm. Int. J. Pattern Recognit. Artif. Intell. 33(13): 1958009:1-1958009:17 (2019) - [j5]Jiazhong Lu
Network Intrusion Feature Map Node Equalization Algorithm Based on Modified Variable Step-Size Constant Modulus. Int. J. Pattern Recognit. Artif. Intell. 33(14): 1955015:1-1955015:15 (2019) - [j4]Teng Hu
An Insider Threat Detection Approach Based on Mouse Dynamics and Deep Learning. Secur. Commun. Networks 2019: 3898951:1-3898951:12 (2019) - [j3]Jiazhong Lu
Integrating Traffics with Network Device Logs for Anomaly Detection. Secur. Commun. Networks 2019: 5695021:1-5695021:10 (2019) - 2018
- [j2]Weina Niu, Xiaosong Zhang, Guowu Yang, Zhongliu Zhuo, Jiazhong Lu:
具有异构感染率的僵尸网络建模与分析 (Modeling and Analysis of Botnet with Heterogeneous Infection Rate). 计算机科学 45(7): 135-138 (2018) - [j1]Xiaolei Liu, Xiaosong Zhang, Nadra Guizani, Jiazhong Lu
TLTD: A Testing Framework for Learning-Based IoT Traffic Detection Systems. Sensors 18(8): 2630 (2018) - [c1]Jiazhong Lu, Fengmao Lv
Botnet Detection based on Fuzzy Association Rules. ICPR 2018: 578-584
Coauthor Index
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