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基于数据库二进制日志的竞赛式仲裁优化方案
引用本文:吴正江,姚琪,冯四风,顾青.基于数据库二进制日志的竞赛式仲裁优化方案[J].计算机工程,2021,47(5):24-29.
作者姓名:吴正江  姚琪  冯四风  顾青
作者单位:1. 河南理工大学 计算机科学与技术学院, 河南 焦作 454000;2. 普华诚信信息技术有限公司, 上海 201499
基金项目:上海市科学技术委员会科研计划项目
摘    要:在拟态防御理论中,仲裁模型在一定程度上决定了拟态系统的整体安全性和执行效率,而仲裁策略作为仲裁模型中的关键环节,会对裁决结果的正确性产生直接影响。针对竞赛式仲裁模型中由差模逃逸造成的裁决结果异常问题,提出一种竞赛式仲裁优化方案,采用异构数据库执行体的二进制日志匹配结果对仲裁结果进行校验,保证裁决结果的正确性。实验结果表明,与竞赛式仲裁方案相比,优化方案能够提高仲裁结果正确率,减少SQL注入的差模逃逸事件,保证拟态系统在执行周期内的安全性和可靠性。

关 键 词:拟态防御  仲裁策略  竞赛式仲裁  差模逃逸  二进制日志  
收稿时间:2020-08-06
修稿时间:2020-10-15

Optimization Scheme of Competitive Arbitration Based on Binary Database Log
WU Zhengjiang,YAO Qi,FENG Sifeng,GU Qing.Optimization Scheme of Competitive Arbitration Based on Binary Database Log[J].Computer Engineering,2021,47(5):24-29.
Authors:WU Zhengjiang  YAO Qi  FENG Sifeng  GU Qing
Affiliation:1. School of Computer Science and Technology, Henan Polytechnic University, Jiaozuo, Henan 454000, China;2. Puhua Trust Information Technology Limited Company, Shanghai 201499, China
Abstract:In the mimic defense theory,the quality of the arbitration model determines the overall safety and efficiency of the mimic system to a certain extent,and the arbitration strategy,as a key link in the arbitration model,can directly affect the accuracy of the arbitration results.In order to solve the problem of abnormal arbitration results caused by the differential mode escape in the competitive arbitration model,this paper proposes a competitive arbitration optimization scheme.The scheme uses binary log matching results of heterogeneous database executors to verify the arbitration results,so as to ensure the correctness of the arbitration results.Experimental results show that compared with the competitive arbitration scheme,the optimized scheme can increase the accuracy of arbitration results,effectively reduce the differential mode escape events of SQL injection,and improve the security and reliability of the mimic system in the lifecycle.
Keywords:mimic defense  arbitration strategy  competitive arbitration  differential mode escape  binary log
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