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العنوان
Hybrid Computational Intelligence Methods For Database Intrusion Detection /
المؤلف
Abd Elaziz, Amr Mohamed.
هيئة الاعداد
باحث / عمرو محمد عبد العزيز
مشرف / عادل ابو المجد سويسى
مناقش / تيسير حسن عبد الحميد
مناقش / ابراهيم محمد الحناوى
الموضوع
Database System.
تاريخ النشر
2012.
عدد الصفحات
96 P. ;
اللغة
الإنجليزية
الدرجة
ماجستير
التخصص
Information Systems
الناشر
تاريخ الإجازة
23/1/2013
مكان الإجازة
جامعة أسيوط - كلية الحاسبات والمعلومات - information systems
الفهرس
Only 14 pages are availabe for public view

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from 114

Abstract

Automating our life is the most important goal these days for governments, organizations,
public service corporations, etc. This includes the automation of our paper transactions.
Organizations these days, invest huge amount of money in developing computer applications
to automate their daily transactions inside and outside the organization. Computer applications
tend to digitize all types of data. Digitizing data facilitates sharing and accessing
data. Computer applications use databases to store data. They use DataBase Management
Systems (DBMSs) to manage, manipulate and facilitate accessing data for users of the organization.
DBMSs are also used to ensure that privacy policies of the organization are
committed. This means that DBMSs must restrict the access of users to their authorized
resources only and protect data from anomalous behaviors of users.
Due to the valuable data stored in databases, an enormous number of attacks on databases
has been observed in the last two decades. These attacks come from both internal and external
users. Internal users use their authorities to attack databases by issuing Structured
Query Language (SQL) injections. External users hack network systems and log in as legitimate
users to access unauthorized resources of database. They also use web applications to
inject malicious queries to attack back-end database.