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检索条件"任意字段=2023 International Conference on Communication Network and Machine Learning, CNML 2023"
14566 条 记 录,以下是11-20 订阅
排序:
Anti-concept Drift-enabled Recognition Method of Encrypted Traffic Behavior  24
Anti-concept Drift-enabled Recognition Method of Encrypted T...
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2nd international conference on communication networks and machine learning, cnml 2024
作者: Zheng, Jicheng Huang, Shuangshuang Ji, Qingbing School of Computer Science and Technology Xi’an Jiaotong University Xi’an China National Key Laboratory of Security Communication Sichuan Chengdu China
Although encrypted traffic ensures information security, it can also be exploited by malicious actors, leading to security risks. This paper addresses the limitations of existing behavior recognition technologies, par... 详细信息
来源: 评论
Proceedings of 2024 2nd international conference on communication networks and machine learning, cnml 2024
Proceedings of 2024 2nd International Conference on Communic...
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2nd international conference on communication networks and machine learning, cnml 2024
The proceedings contain 27 papers. The topics discussed include: a load prediction method for data transmission in optical communication networks based on LSTM model;Bayesian-LightGBM classification prediction model o...
来源: 评论
Routing Method Based on SD-WAN  24
Routing Method Based on SD-WAN
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2nd international conference on communication networks and machine learning, cnml 2024
作者: Wang, Chengjin Huo, Shiwei Bai, Wenhua Li, Fuquan College of Information and Communication National University of Defense Technology Hubei Wuhan China
In recent years, the rapid development of the Internet industry has made the network traffic show a diversified trend. Different application services have different characteristics and have different requirements on n... 详细信息
来源: 评论
A load prediction method for data transmission in optical communication networks based on LSTM Model  24
A load prediction method for data transmission in optical co...
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2nd international conference on communication networks and machine learning, cnml 2024
作者: Zhu, Ruijie Wang, Haiyang Li, Zhe He, Baoying Duan, Xiao Shandong Jinan China
The massive transmission of data in optical communication networks leads to an increase in the load of optical communication channels, making it more difficult to predict data transmission loads. A data transmission l... 详细信息
来源: 评论
Fuzzy Analytic Hierarchy Process for Brittleness of Computer network Security System
Fuzzy Analytic Hierarchy Process for Brittleness of Computer...
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2023 international conference on communication network and machine learning, cnml 2023
作者: Jin, Kai Shan, Xin Zhou, Yuan Li, Jing Dong, Haidi College of Weaponry Engineering Naval University of Engineering Wuhan430033 China College of Coastal Defense Naval Aeronautical University Yantai116023 China
This paper establishes a hierarchical structural model for the brittleness link of computer network security, building upon definitions of brittleness, research methods and structure models. In addition, using the fuz... 详细信息
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Vulnerability analysis of mission-based spatial information networks
Vulnerability analysis of mission-based spatial information ...
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2023 international conference on communication network and machine learning, cnml 2023
作者: Zhao, Zhongwen Lu, Di Space Engineering University Huairou Beijing101416 China
Spatial information network, as a typical functional network, plays a key role in the task system. On the basis of analyzing the topological structure of spatial information network, this paper uses the operational ri... 详细信息
来源: 评论
Research on the detection and analysis of weak signals with low SNR based on the Welch algorithm  24
Research on the detection and analysis of weak signals with ...
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2nd international conference on communication networks and machine learning, cnml 2024
作者: Wu, Bin Zhang, Wanqing Zhang, Jun Yu, Jing Huangfu, Taoyu Hebei Key Laboratory of Marine Perception Network and Data Processing School of Computer and Communication Engineering Northeastern University at Qinhuangdao Hebei Qinhuangdao China Southeast University Jiangsu Nanjing China
Submarines are vital for military defense and national security in strategic communication systems. Power Spectral Density (PSD) characterizes signal spectrum frequency dependence and is crucial for analyzing broadban... 详细信息
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Research on UAV-NOMA communication system based on improved grey wolf optimization algorithm  24
Research on UAV-NOMA communication system based on improved ...
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2nd international conference on communication networks and machine learning, cnml 2024
作者: Bai, Xiaojuan Wang, Shenghui Ma, Jingwen Xu, Jing School of Physics and Electronic Engineering Northwest Normal University Gansu Lanzhou China
Considering that UAV, serving as base stations, can enhance the flexibility of communication system transmission, reduce transmission delays, and provide temporary communication, this paper proposes a NOMA-assisted UA... 详细信息
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FusedCNN-LSTM-AttNet: A Neural network Model for Cyber Security Situation Prediction
FusedCNN-LSTM-AttNet: A Neural Network Model for Cyber Secur...
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2023 international conference on communication network and machine learning, cnml 2023
作者: Xiong, Zihan Li, Yuxuan Chen, Jun Chen, Dabei China Telecom Research Institute Institute of Security Technology China
This paper presents a novel network security situational prediction model, FusedCNN-LSTM-AttNet, which integrates Convolutional Neural networks (CNN), Long Short-Term Memory networks (LSTM), and Attention mechanisms. ... 详细信息
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Application of Federated learning in mobile communication Anti-telecom fraud
Application of Federated Learning in mobile communication An...
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2023 international conference on communication network and machine learning, cnml 2023
作者: Li, Haiou Kang, Zhiwen Song, Guolin Liu, Yajun Mei, Hong Chen, Xin Gu, Ming Wang, Jieli Chen, Geng Network Planning and Design Optimization Research and Development Center China Mobile Group Design Institute Company Limited Beijing China China Mobile Group Design Institute Co. Ltd. Shandong Branch Jinan China Wuhan Branch Network Planning and Design Optimization Research and Development Center China Mobile Group Design Institute Company Limited Wuhan China
In order to solve the problem that telecom fraud data cannot be centralized for training due to privacy security and data island in the training of telecom fraud model in mobile communication, federated learning can b... 详细信息
来源: 评论