Multiple-Feature Extracting Modules Based Leak Mining System Design

المؤلفون المشاركون

Cho, Ying-Chiang
Pan, Jen-Yi

المصدر

The Scientific World Journal

العدد

المجلد 2013، العدد 2013 (31 ديسمبر/كانون الأول 2013)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2013-12-17

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الطب البشري
تكنولوجيا المعلومات وعلم الحاسوب

الملخص EN

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.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Cho, Ying-Chiang& Pan, Jen-Yi. 2013. Multiple-Feature Extracting Modules Based Leak Mining System Design. The Scientific World Journal،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1012756

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Cho, Ying-Chiang& Pan, Jen-Yi. Multiple-Feature Extracting Modules Based Leak Mining System Design. The Scientific World Journal No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1012756

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Cho, Ying-Chiang& Pan, Jen-Yi. Multiple-Feature Extracting Modules Based Leak Mining System Design. The Scientific World Journal. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1012756

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-1012756