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العنوان
Protecting gis data using a distributed transparent mechanism /
الناشر
Ashraf Farouk Tammam,
المؤلف
Tammam,Ashraf Farouk
هيئة الاعداد
باحث / أشرف فاروق تمام
مشرف / ياسر هشام دكرورى
مناقش / رفيق الفونس جبران
مناقش / هانى محمد كمال
الموضوع
data prprotection
تاريخ النشر
2011.
عدد الصفحات
158 p.:
اللغة
الإنجليزية
الدرجة
الدكتوراه
التخصص
الهندسة الكهربائية والالكترونية
تاريخ الإجازة
1/1/2011
مكان الإجازة
جامعة عين شمس - كلية الهندسة - حاسبات ونظم
الفهرس
Only 14 pages are availabe for public view

from 224

from 224

Abstract

Geographic Information System (GIS) became much more than a
mapping tool. It became a mainstream within the enterprise and
organizations serving their geographical data on the networks. GIS
involves the use of more complex explorations, analysis and
visualizations of the earth we are living on its surface. Today, it is used
in many military and commercial applications.
GIS data is one of the most important GIS components. It is very
expensive and sometimes contains confidential information. Protecting
the GIS data is a very critical task especially when this data is related to
military and confidential applications.
In this research, we propose the building of a framework to protect
the GIS data from being copied or accessed by unauthorized users. The
proposed framework combines symmetric cipher, asymmetric cipher and
digital watermarking to achieve its goal. Using this framework, the GIS
data is encrypted using symmetric cipher and distributed to many
servers. Only authorized users are able to access this data and see the
information inside it. The symmetric cipher key is exchanged between
the authorized users’ desktops and the servers containing the encrypted
GIS data using asymmetric cipher and digital watermarking.
The effectiveness and advantages of the proposed framework are
objectively evaluated using two data sets of Environmental Systems
Research Institute (ESRI) shapefile format. The effect of using
cryptography and digital watermarking on the time required to display
the shapefiles is studied. We also study all types of failures that can
occur and introduces solutions for them.
At the end, we show that the proposed framework can be the basis
for building many GIS applications by applying it to the Automatic
Vehicle Location (AVL) application.
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