5G/6gNG-DSS智能模型机网络安全处理系统设计

Pub Date : 2023-08-28 DOI:10.3233/idt-230143
Bo Wei, Huanying Chen, Zhaoji Huang
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引用次数: 0

摘要

为了解决6G网络中吞吐量和传输延迟对传统系统造成的评估结果准确性不高的问题,本文提出了一种基于智能模型计算机的5G/6gNG-DSS网络安全处理系统的设计方法。在主动防御原理的支持下,本文设计了服务器端结构,采用ScanHome SH-800/400嵌入式扫描模块条码二维码扫描设备作为扫描引擎。我们在RISC芯片上安装了一个评估装置PA-RISC微处理器。一旦系统出现故障,就会发出预警信号。通过设置控制接口、数据接口和协作接口,支持子系统之间的信息交换。采用高脉宽调制器TL494:4引脚设计电源。采用自顶向下的数据管理方法设计系统软件流程,建立数学模型,引入网络熵来权衡效益,实现系统安全评估。实验结果表明,该系统的最高评估准确率可达98%,保证了用户信息的安全。结论:将主动防御网络安全问题转化为动态分析问题,为管理者提供了有效的决策方案。基于包跟踪软件的系统评估具有较高的准确性,为网络安全分析提供了重要决策依据。
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Design of network security processing system in 5G/6gNG-DSS of intelligent model computer
In order to solve the problem of low accuracy of evaluation results caused by the impact of throughput and transmission delay on traditional systems in 6G networks, this paper proposes a design method of network security processing system in 5G/6gNG-DSS of intelligent model computer. Supported by the principle of active defense, this paper designs a server-side structure, using ScanHome SH-800/400 embedded scanning module barcode QR code scanning device as the scanning engine. We put an evaluation device on the RISC chip PA-RISC microprocessor. Once the system fails, it will send an early warning signal. Through setting control, data, and cooperation interfaces, it can support the information exchange between subsystems. The higher pulse width modulator TL494:4 pin is used to design the power source. We use the top-down data management method to design the system software flow, build a mathematical model, introduce network entropy to weigh the benefits, and realize the system security evaluation. The experimental results show that the highest evaluation accuracy of the system can reach 98%, which can ensure user information security. Conclusion: The problem of active defense network security is transformed into a dynamic analysis problem, which provides an effective decision-making scheme for managers. The system evaluation based on Packet Tracer software has high accuracy and provides important decisions for network security analysis.
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