定期借阅图书流通数据关联规则检测仿真研究

针对传统的流通数据关联规则检测方法存在检测时间较长、准确率较低等问题,提出一种基于Kullback-Leibler散度的定期借阅图书流通数据关联规则检测方法。将定期借阅图书流通数据符号化,并利用符号序列的频繁序列作为图书流通数据关联度的衡量指标,计算图书流通数据频繁序列中两个特征项之间的相对熵,将其作为图书流通数据频繁序列特征项之间流通数据近似度。利用平均相对熵模型计算频繁序列中全部特征项与频繁序列主题之间的关联度;对得到的关联度值采取加权求和操作,获得两个图书流通数据之间的关联规则,实现定期借阅图书流通数据关联规则检测。实验结果表明,所提方法能够快速、准确地对图书流通数据进行关联规则检测。

The Application of Weighted Association Rules in Host-Based Intrusion Detection System

Association rules are useful for determining correlations between items. Applying association rules to intrusion detection system (IDS) can improve the detection rate, but false positive rate is also increased. Weighted association rules are used in this paper to mine intrustion models, which can increase the detection rate and decrease the false positive rate by some extent. Based on this, the structure of host-based IDS using weighted association rules is proposed.