AI-Based Power Information and Communication System Network Security Management Method
李翔1
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作者信息
1. 济南万科企业有限公司,山东济南 250000
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摘要
文章针对电力信息通信系统面临日益严峻的网络安全威胁,提出一种基于人工智能(Artificial Intelligence,AI)的电力信息通信系统网络安全管理(AI-based Power Communication System Network Security Management,AI-PCSNSM)方法.该方法综合运用深度学习、强化学习及自然语言处理等技术,实现对电力信息通信系统的异常检测、安全策略优化和分析报告自动生成.通过在某电力公司的实验,验证AI-PCSNSM方法在提升系统安全防护水平方面的有效性和优越性.
Abstract
Aiming at the increasingly severe network security threat faced by power information communication system,this paper proposes an Artificial Intelligence-based Power Communication System Network Security Management(AI-PCSNSM)method.In this method,deep learning,reinforcement learning and natural language processing are comprehensively used to realize anomaly detection,security strategy optimization and automatic generation of analysis report of power information communication system.Through the experiment in a power company,the effectiveness and superiority of AI-PCSNSM method in improving the safety protection level of the system are verified.
关键词
电力信息通信系统/网络安全管理/人工智能(AI)
Key words
power information communication system/network security management/Artificial Intelligence(AI)
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