The number of mobile Web service users has increased steadily as wireless mobile Web-based services have diversified, and existing services are also being provided by Web-based interfaces on smartphones. However, mobile Web users’ information can be leaked to attackers as mobile Web services are interrupted by SQL injection and/or parameter injection attacks. Therefore, an efficient preprocessing method for big-data mobile Web log information is needed in order to detect such attacks on mobile Web servers by analyzing the log information created. Since the existing Web log preprocessing method implements sequential exploration of log character strings, it is not suitable to high-speed processing of mobile Web log data. In this paper, an algorithm to classify and index, by field, large-capacity mobile Web log information was developed using the B-Tree structure. Through this algorithm, Web log preprocessing and an improved search function can be provided efficiently, and the proposed method can be applied to detecting attacks on mobile Web servers for analytics of Big mobile Web Log Data .
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