| 基于Agent Based模型和群智能算法的供电信息通信监控中心威胁感知方法 |
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| 引用本文：陶程栋1，梅峰1，王强强2.基于Agent Based模型和群智能算法的供电信息通信监控中心威胁感知方法[J].计算技术与自动化,2025,(2):60-65 |
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| 中文摘要:针对采样结果泛化程度较差导致感知粒子覆盖率较低、监控中心威胁样本召回率较低的问题，设计了基于Agent Based模型和群智能算法的供电信息通信监控中心威胁感知方法。首先，对供电信息通信监控中心数据进行采样和分析，并对采样结果进行泛化处理和归约计算；然后，基于Agent Based模型构建供电信息通信监控中心威胁本体溯源函数，并计算Agent的感知能力；最后，采用群智能算法对构建威胁本体溯源函数的感知结果进行优化处理，实现对供电信息通信监控中心威胁的精确感知；最终完成供电信息通信监控中心威胁感知方法设计。实验结果表明，该方法在实际应用中，召回率更高，感知效果更好。 |
| 中文关键词:Agent Based模型 群智能算法 供电信息 通信监控中心 感知方法 方法设计 |
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| A Threat Perception Method for Power Supply Information Communication Monitoring Center Based on Agent Based Model and Group Intelligence Algorithm |
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| Abstract:In response to the problem of poor generalization of sampling results resulting in low coverage of perceived particles and low recall rate of threat samples in monitoring centers, a threat perception method for power supply information communication monitoring centers based on the Agent Based model and swarm intelligence algorithm was designed. After considering the actual situation of the power supply information communication monitoring center, it is sampled and analyzed, and the sampling results are generalized and reduced. Based on the Agent Based model, the threat ontology traceability function of the power supply information communication monitoring center is constructed, and the perception ability of the agent is calculated. Under the action of swarm intelligence algorithms, the perception results of the threat ontology traceability function are optimized, realize accurate perception of threats to power supply information communication monitoring centers. Through the above design, the design of the threat perception method for the power supply information communication monitoring center is completed. The experimental results show that this method has a higher recall rate and better perception effect in practical applications. |
| keywords:Agent Based model swarm intelligence algorithm power supply information communication monitoring center perception methods method design |
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