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399 results on '"Li, Minjing"'

29. NIDS-FGPA: A federated learning network intrusion detection algorithm based on secure aggregation of gradient similarity models.

Author

Wang, JiaMing, Yang, Kai, and Li, MinJing

Subjects
FEDERATED learning, COMPUTER network traffic, CONVOLUTIONAL neural networks, COMPUTER network security, MISSING data (Statistics), INTRUSION detection systems (Computer security), DETECTION algorithms
Abstract

With the rapid development of Industrial Internet of Things (IIoT), network security issues have become increasingly severe, making intrusion detection one of the key technologies for ensuring IIoT security. However, existing intrusion detection systems face challenges such as incomplete data features, missing labels, parameter leakage, and high communication overhead. To address these challenges, this paper proposes a federated learning-based intrusion detection algorithm (NIDS-FGPA) that utilizes gradient similarity model aggregation. This algorithm leverages a federated learning architecture and combines it with Paillier homomorphic encryption technology to ensure the security of the training process. Additionally, the paper introduces the Gradient Similarity Model Aggregation (GSA) algorithm, which dynamically selects and weights updates from different models to reduce communication overhead. Finally, the paper designs a deep learning model based on two-dimensional convolutional neural networks and bidirectional gated recurrent units (2DCNN-BIGRU) to handle incomplete data features and missing labels in network traffic data. Experimental validation on the Edge-IIoTset and CIC IoT 2023 datasets achieves accuracies of 94.5% and 99.2%, respectively. The results demonstrate that the NIDS-FGPA model possesses the ability to identify and capture complex network attacks, significantly enhancing the overall security of the network. [ABSTRACT FROM AUTHOR]

Published
2024
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44. Mechanochemical synthesis of nanostructured and composite oxide ceramics: From mechanisms to tailored properties.

Author

Zhang, Yu, Xu, Jinyun, Zhang, Ziqi, Zhao, Liping, Li, Ming, Li, Minjing, Zhao, Di, Zhong, Guoqiang, Hu, Xudong, Zhang, Xiaojun, Zhu, Wenju, Zheng, Chunming, and Sun, Xiaohong

Abstract

Mechanochemical synthesis is a technology formed in the 1950s. By applying mechanical energy, mechanochemical synthesis stimulates chemical reactions, causing structural and phase changes and enabling difficult or otherwise impossible reactions to occur. Mechanochemical reactions are relatively safe, clean and efficient. At present, the synthesis of oxide ceramic materials by mechanochemical methods has attracted widespread attention. In the production of oxide ceramic materials, the characteristics of ceramic powder have a certain influence on the molding, sintering, microstructure, and mechanical properties of subsequent ceramics. In this paper, the research progress of mechanical chemistry in the synthesis of nanostructures and composite oxide ceramic powders is reviewed. The effects of process parameters such as ball milling time, speed, atmosphere, grinding media, additives, and ball‐to‐powder ratio on reaction kinetics, phase formation, and powder properties are summarized. In addition, challenges and opportunities for ceramic powder synthesis are also discussed. [ABSTRACT FROM AUTHOR]

Published
2024
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50. EGFR-TKI Combined with Pemetrexed Versus EGFR-TKI Monotherapy in Advanced EGFR-mutated NSCLC: A Prospective, Randomized, Exploratory Study

Author

Gu, Weiguang, primary, Zhang, Hua, additional, Lu, Yiyu, additional, Li, Minjing, additional, Yang, Shuang, additional, Liang, Jianmiao, additional, Ye, Zhijian, additional, Li, Zhihua, additional, He, Minhong, additional, Shi, Xiaoliang, additional, Wang, Fei, additional, You, Dong, additional, Gu, Weiquan, additional, and Feng, Weineng, additional

Published
2023
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