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B-TREE INDEX VECTOR BASED WEB-LOG RESTORATION METHOD FOR HUGE WEB LOG MINING AND WEB ATTACK DETECTION

机译:基于B-树索引向量的Web日志恢复方法,用于大型Web日志挖掘和Web攻击检测

摘要

PURPOSE: A weblog recovering method based on b-tree index vector for large capacity web log mining and attack detection is provided to perform field unit parsing about web log information and efficient indexing process, thereby improving attack detection and a real-time dealing performance about a large-capacity web log based on mining algorithm. CONSTITUTION: A field division module(20) divides a web log of the log load module(10) by a field. A B-tree indexing module(30) constitutes B-tree through the divided fields. The B-tree indexing module generates an index list and an indexing log. A query processor(40) searches B-tree corresponding to a search condition about external query. The query processor extracts a field index set. A log restoration module(60) restores the web log through an extracted indexing log list.
机译:目的:提供一种基于b树索引向量的大容量网络日志挖掘和攻击检测的网络日志恢复方法,进行网络日志信息的现场单元解析和高效的索引过程,从而提高攻击检测和实时处理性能。基于挖掘算法的大容量Web日志。组成:字段划分模块(20)将日志加载模块(10)的Web日志按字段划分。 B树索引模块(30)通过划分的字段构成B树。 B树索引模块生成索引列表和索引日志。查询处理器(40)搜索与关于外部查询的搜索条件相对应的B树。查询处理器提取字段索引集。日志恢复模块(60)通过提取的索引日志列表来恢复网络日志。

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