Multiple-Feature Extracting Modules Based Leak Mining System Design
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...
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| Format: | Article |
| Language: | English |
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Wiley
2013-01-01
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| Series: | The Scientific World Journal |
| Online Access: | http://dx.doi.org/10.1155/2013/704865 |
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| _version_ | 1832548821263974400 |
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| author | Ying-Chiang Cho Jen-Yi Pan |
| author_facet | Ying-Chiang Cho Jen-Yi Pan |
| author_sort | Ying-Chiang Cho |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-68e90921528b483aaeaad6aeffd7bab4 |
| institution | Kabale University |
| issn | 1537-744X |
| language | English |
| publishDate | 2013-01-01 |
| publisher | Wiley |
| record_format | Article |
| series | The Scientific World Journal |
| spelling | doaj-art-68e90921528b483aaeaad6aeffd7bab42025-02-03T06:12:53ZengWileyThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/704865704865Multiple-Feature Extracting Modules Based Leak Mining System DesignYing-Chiang Cho0Jen-Yi Pan1Department of Electrical Engineering, CCU University, Chia-Yi 62102, TaiwanDepartment of Electrical Engineering, CCU University, Chia-Yi 62102, TaiwanOver 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.http://dx.doi.org/10.1155/2013/704865 |
| spellingShingle | Ying-Chiang Cho Jen-Yi Pan Multiple-Feature Extracting Modules Based Leak Mining System Design The Scientific World Journal |
| title | Multiple-Feature Extracting Modules Based Leak Mining System Design |
| title_full | Multiple-Feature Extracting Modules Based Leak Mining System Design |
| title_fullStr | Multiple-Feature Extracting Modules Based Leak Mining System Design |
| title_full_unstemmed | Multiple-Feature Extracting Modules Based Leak Mining System Design |
| title_short | Multiple-Feature Extracting Modules Based Leak Mining System Design |
| title_sort | multiple feature extracting modules based leak mining system design |
| url | http://dx.doi.org/10.1155/2013/704865 |
| work_keys_str_mv | AT yingchiangcho multiplefeatureextractingmodulesbasedleakminingsystemdesign AT jenyipan multiplefeatureextractingmodulesbasedleakminingsystemdesign |