An Auto-Generating Approach of Transactions Profile Graph in Detection of Malicious Transactions

Jinfu Chen, Yansheng Lu, Xiaodong Xie
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引用次数: 3

Abstract

The malicious transactions intrusion is the dominant cause that demolishes database system. DBMS is a key part in the security of database system. Enhancing the ability of detecting malicious transactions is very important in DBMS. Based on a detecting approach of malicious transactions in DBMS, an auto-generating approach of legal transactions Profile and generating algorithm are proposed in this paper. Experiment proved that the approach had good performance and accuracy. Intuitionistic Transactions profile was generated. The improved detecting approach of malicious transactions was more automatic and effective, and it had better detection ability.
恶意交易检测中交易轮廓图的自动生成方法
恶意事务入侵是破坏数据库系统的主要原因。数据库管理系统是数据库系统安全的关键部分。增强对恶意事务的检测能力在数据库管理系统中是非常重要的。在数据库管理系统中恶意事务检测方法的基础上,提出了一种自动生成合法事务概要文件的方法和生成算法。实验证明,该方法具有良好的性能和精度。生成了直觉事务配置文件。改进后的恶意交易检测方法更加自动化和有效,具有更好的检测能力。
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