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山东大学学报（理学版） ›› 2018, Vol. 53 ›› Issue (1): 53-62.doi: 10.6040/j.issn.1671-9352.2.2017.136

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基于云模型与贝叶斯反馈的网络安全等级评估方法

朱丹1,谢晓尧1*,徐洋1,夏梦婷2   

  1. 1.贵州师范大学贵州省信息与计算科学重点实验室, 贵州 贵阳 550001;2.江苏科技大学计算机科学与工程学院, 江苏 镇江 212003
  • 收稿日期:2017-08-28 出版日期:2018-01-20 发布日期:2018-01-19
  • 通讯作者: 谢晓尧(1952— ),男,博士,教授,研究方向为网络空间安全与人工智能. E-mail:xyx@gznu.edu.cn E-mail:zx_m55666@qq.com
  • 作者简介:朱丹(1993— ),男,硕士研究生,研究方向为信息安全与机器学习. E-mail:zx_m55666@qq.com
  • 基金资助:
    全国统计科学研究项目(2016LY81);贵州省基础研究重大项目(黔科合JZ字［2014］2001);贵州省科技合作计划重点项目(黔科合LH字［2015］7763);住房和城乡建设部科学技术计划项目(2016-k3-009);贵州省自然科学基金项目(黔科合LH字［2014］7641)

Evaluation method for network security level based on cloud model and Bayesian feedback

ZHU Dan1, XIE Xiao-yao1*, XU Yang1, XIA Meng-ting2   

  1. 1. Guizhou Normal University, Key Laboratory of Information and Computing Science of Guizhou Province, Guiyang 550001, Guizhou, China;
    2. Computer Science and Engineering School of JUST, Zhenjiang 212003, Jiangsu, China
  • Received:2017-08-28 Online:2018-01-20 Published:2018-01-19

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摘要： 鉴于测评人员对信息系统等级保护测评中网络安全评估的测评指标理解的局限性、评判的模糊性以及量化打分中判定区间的不确定性,将云模型与贝叶斯反馈算法相结合,采用云模型理论来处理评估结果的模糊性和随机性。由于传统的一维逆向云算法出现超熵为虚数的情况,因此,使用无确定度逆向云算法来避免这种情况的发生。通过建立贝叶斯反馈云模型,对给出的测评结果进行检验和修正,使评估结果更加客观,准确。根据已修正网络安全整体评估云的期望和熵,给出合理的安全等级判定区间,作为实际测评中等级评估的依据。实例验证表明,该评估方法可以有效地修正测评人员评估结果之间的差异,实现合理的判定划分,给出客观、准确的等级评估结果。

关键词: 云模型, 网络安全等级测评, 评判模糊性, 逆向云算法, 贝叶斯反馈

Abstract: In view of the limitations of the evaluation staff on the content of the evaluation index and the fuzziness of judgment and the limitation of the judgment interval in quantitative evaluation of network security evaluation in information system level protection. The researchers combine the cloud model with the Bayesian feedback algorithm and adopt the cloud model theory to deal with the fuzziness and randomness of the evaluation results. Because the traditional one-dimensional reverse cloud algorithm appears hyper entropy is imaginary, therefore, researchers use the uncertainty of the reverse cloud algorithm to avoid the occurrence of negative entropy. Through the construction of Bayesian feedback cloud model, which is constructed to test and correct the evaluation results given by experts or reviewers which makes the final evaluation results more objective and accurate. According to the expectation and entropy of the overall correction cloud of network security and the reasonable security grade judgment interval is given as the basis of the grade evaluation in the actual evaluation. Verified by an example, the evaluation method proposed that can effectively correct the difference between the evaluation results of the evaluation personnel, realize the reasonable judgment division and give the objective and accurate grade evaluation result.

Key words: Bayesian feedback, network security grade evaluation, cloud model, the fuzziness of judgment, reverse cloud algorithm

中图分类号: 

  • TP301
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