| 基于动态克隆选择算法和SSA算法的供电信息监控数据中心入侵检测方法 |
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| 引用本文：王雨1，王庆贤1，杨麒渲2，张超2，华梅1.基于动态克隆选择算法和SSA算法的供电信息监控数据中心入侵检测方法[J].计算技术与自动化,2025,(3):24-29 |
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| 中文摘要:由于缺少对数据特征的稀疏化表示，检测结果的误报率较高，检测效果不理想。为此，提出了基于动态克隆选择算法和麻雀搜索算法（SSA）的供电信息监控数据中心入侵检测方法。根据供电信息监控数据中心入侵数据的特征分布特点，采用动态克隆算法构造调整提取器，将入侵数据的动态特征转化为数值型特征，完成入侵特征识别，结合粗糙集理论对入侵数据的特征进行增强处理，并引入朗德因子将入侵数据特征映射到等维度空间，以获取数据特征的稀疏化表达，基于此，采用极限学习机构建入侵检测模型，并利用SSA求取模型的内部参数，以此获得优化的检测模型，通过计算待测数据样本到检测中心的距离实现对入侵数据的检测。实验结果显示，所提方法输出的检测结果的误报率较低，检测性能较好。 |
| 中文关键词:动态克隆选择算法 SSA算法 供电信息监控数据中心 入侵数据 |
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| Intrusion Detection Method for Power Supply Information Monitoring Data Center Based on Dynamic Clone Selection Algorithm and SSA Algorithm |
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| Abstract:Due to the lack of sparse representation of data features, the false alarm rate of detection results is high, and the detection effect is not ideal. To this end, a power supply information monitoring data center intrusion detection method based on dynamic clone selection algorithm and sparrow search algorithm (SSA) algorithm is proposed. Based on the characteristic distribution characteristics of intrusion data in the power supply information monitoring data center, a dynamic cloning algorithm is used to construct an adjustment extractor, which converts the dynamic features of intrusion data into numerical features, completes intrusion feature recognition, enhances the features of intrusion data in combination with rough set theory, and introduces the Lande factor to map intrusion data features to an equal dimensional space to obtain a sparse expression of data features. Based on this,using extreme learning institutions to build intrusion detection models, and using SSA to obtain internal parameters of the model, an optimized detection model is obtained. Intrusion data detection is achieved by calculating the distance between the test data sample and the detection center. The experimental results show that the false alarm rate of the detection results output by the proposed method is low, and the detection performance is good. |
| keywords:dynamic clone selection algorithm SSA algorithm power supply information monitoring data center intrusion data |
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