首页|基于EWM-AHP-RF的改进灰色关联云数据确定性删除效果评价

基于EWM-AHP-RF的改进灰色关联云数据确定性删除效果评价

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针对当前数据确定性删除效果受多因素影响、难以客观评价的问题,提出一种基于熵权法-层次分析法-随机森林(EWM-AHP-RF)确定权重的方法,并与改进的灰色关联模型相结合,对云数据确定性删除方案进行了删除效果的组合评价.首先,构建了删除效果评价指标体系;然后,将熵权法和层次分析法进行结合,确定了指标的组合权重,并基于随机森林方法进行权重的更新;最后,基于改进灰色关联评价模型对云数据确定性删除方案的删除效果进行了评价.结果验证了所提方法的有效性和科学性.
Evaluation method of cloud data assured deletion effect of improved grey relational based on EWM-AHP-RF
The current data assured deletion effect is influenced by many factors,which hinders objec-tive evaluation.Aiming at the problem,a method to determine the weight was proposed based on en-tropy weight method-analytic hierarchy process-random forest(EWM-AHP-RF),and it was com-bined with the improved grey relational model to evaluate the assured deletion effect of cloud data.The method firstly constructed an evaluation index system of deletion effect,and then combined the entropy weight method with the analytic hierarchy process,determined the combined weights of the indexes,and updated the weights based on the random forest method.Finally,the deletion effect of the cloud data assured deletion scheme was evaluated based on the improved grey relational evaluation model.The results show that the proposed method is scientific and effective.

assured deletionportfolio evaluationgrey correlation

付钰、李彬、刘涛涛

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海军工程大学信息安全系,武汉 430033

确定性删除 组合评价 灰色关联

国家自然科学基金资助项目国家部委基金资助项目

622762732018YFB0804104

2024

海军工程大学学报
海军工程大学

海军工程大学学报

CSTPCD北大核心
影响因子:0.34
ISSN:1009-3486
年,卷(期):2024.36(1)
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