一种利用事务审计日志的数据挖掘进行数据库入侵检测的预防性方法

Y. Rathod
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引用次数: 0

摘要

信息是当今全球商业环境的关键组成部分。组织、研究所或商业公司使用各种数据库管理系统来管理其关键信息。DBMS提供的安全机制不足以防止入侵者或检测异常行为。典型的安全机制无法检测和阻止未授权用户(有时是授权用户)故意或错误地执行恶意命令。入侵检测系统通过检测用户的行为来发现入侵行为和企图。通过在数据库管理系统中加入侵入式检测技术,可以增强数据库的安全特性。数据挖掘是在海量数据中识别有效的、新颖的、潜在有用的和最终可理解的模式。需要应用数据挖掘技术来检测各种入侵。本文讨论了基于数据挖掘的恶意行为检测机制。
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A PREVENTIVE APPROACH USING THE DATA MINING OF TRANSACTION AUDIT LOG FOR DATABASE INTRUSION DETECTION
Information is a key component in today’s global business environment. An organization, institute, or business firm uses various database management systems for managing its crucial information. The security mechanism provides by DBMS is not enough to prevent intruders or detect anomalous behavior. Unauthorized users and sometimes authorized users to execute malicious commands intentionally or by mistake, cannot be detected and prevented by a typical security mechanism. Intrusion detection system finds intrusive action and attempts by detecting the behavior of user’s action. Security features can be enhanced by adding intrusive detection technology to the Database management system. Data mining is to identify valid, novel, potentially useful, and ultimately understandable patterns in massive data. It is required to apply data mining techniques to detect various intrusions. In this paper mechanism based on data mining is discussed to detect malicious action in DBMS.
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