The Development of Formal Model for Research of Information System’s Data Mining Programs

A. Nikishova, S. Mikhalchenko
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Abstract

According to statistics, the number of samples of new attacks against information systems is increasing due to inability to detect new patterns and the lack of modern attack detection systems. To resolve this issue, we implement intelligent data analysis to detect attacks. There are many data mining programs, so it is important to choose the best program. The authors investigate the problem of information security from the viewpoint of new attacks, the programs for mining of information system’s events. The criteria for their evaluation have been formulated. Besides, the formal model for the study of programs for mining of information system’s events has been developed. The proposed formal model will help to choose the best program for event mining. If the requirements for the analyzed programs change, then changing the values in the best vector can also become a right solution. Thus, the developed formal evaluation model is universal and effective.
信息系统数据挖掘程序研究的形式化模型的开发
据统计,由于无法发现新的攻击模式和缺乏现代化的攻击检测系统,针对信息系统的新攻击样本数量正在增加。为了解决这个问题,我们实现了智能数据分析来检测攻击。有许多数据挖掘程序,因此选择最好的程序是很重要的。从新的攻击、信息系统事件挖掘的角度探讨了信息安全问题。已经制订了评价它们的标准。此外,还建立了信息系统事件挖掘程序研究的形式化模型。提出的形式化模型有助于选择最佳的事件挖掘程序。如果被分析程序的需求发生变化,那么改变最佳向量中的值也可以成为正确的解决方案。因此,所建立的形式化评价模型具有通用性和有效性。
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