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The Scientific World Journal
Volume 2013, Article ID 704865, 11 pages
http://dx.doi.org/10.1155/2013/704865
Research Article

Multiple-Feature Extracting Modules Based Leak Mining System Design

Department of Electrical Engineering, CCU University, Chia-Yi 62102, Taiwan

Received 23 September 2013; Accepted 27 October 2013

Academic Editors: W. Sun, G. Zhang, and J. Zhou

Copyright © 2013 Ying-Chiang Cho and Jen-Yi Pan. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Abstract

Over the years, human dependence on the Internet has increased dramatically. A large amount of information is placed on the Internet and retrieved from it daily, which makes web security in terms of online information a major concern. In recent years, the most problematic issues in web security have been e-mail address leakage and SQL injection attacks. There are many possible causes of information leakage, such as inadequate precautions during the programming process, which lead to the leakage of e-mail addresses entered online or insufficient protection of database information, a loophole that enables malicious users to steal online content. In this paper, we implement a crawler mining system that is equipped with SQL injection vulnerability detection, by means of an algorithm developed for the web crawler. In addition, we analyze portal sites of the governments of various countries or regions in order to investigate the information leaking status of each site. Subsequently, we analyze the database structure and content of each site, using the data collected. Thus, we make use of practical verification in order to focus on information security and privacy through black-box testing.