基于灰色神经网络的云平台大数据安全风险评估
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N945

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黑龙江省哲学社会科学规划项目(19JYE260)


Security Risk Assessment of Big Data on Cloud Platform Based on Grey Neural Network
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    摘要:

    为了提高网络云平台大数据存储的安全性能,并对数据安全风险进行评估,提出了一种基于灰色神经网络的云存储大数据安全风险评估模型。首先,采用基于自治的元组划分方法将待分析和评估的大数据安全风险信息进行分类,利用高斯密度谱提取信息特征,然后利用灰色神经网络将待分类的信息进行分解,最后,使用自适应差分改进方法检测安全风险信息的相关性。该模型根据大数据安全风险信息频谱的特征提取,实现了相关补偿和自适应控制,提高了大数据安全风险评估能力。安全评价曲线能够快速收敛,并与KNN方法对比仿真实验结果显示,基于灰色神经网络的模型评估具有较高的准确性,因而具有更好的大数据安全保护能力。

    Abstract:

    In order to improve the security performance of network cloud storage data and evaluate the risk of data security, an information security risk assessment model of cloud storage data is proposed based on grey neural network. The information security risk data to be analyzed and evaluated is classified based on the autonomic tuples division method and Gaussian density spectrum estimation is used to extract the information features, and then information is decomposed by the grey neural network, at last, the adaptive differential evolution method is used to detect the correlation of the information. According to the feature extraction of information security risk data spectrum, the correlation compensation and adaptive control are realized to improve the ability of information security risk assessment. The safety evaluation curve can converge quickly. Compared with the KNN method, the simulation results show that this method has higher accuracy. So, it’s better protection ability to protect big data security.

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耿文莉,高梦瑜. 基于灰色神经网络的云平台大数据安全风险评估[J]. 科学技术与工程, 2021, 21(28): 11932-11937.
Geng Wenli, Gao Mengyu. Security Risk Assessment of Big Data on Cloud Platform Based on Grey Neural Network[J]. Science Technology and Engineering,2021,21(28):11932-11937.

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历史
  • 收稿日期:2021-03-08
  • 最后修改日期:2021-07-14
  • 录用日期:2021-06-25
  • 在线发布日期: 2021-09-29
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