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Document Type |
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Thesis |
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Document Title |
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Using Web-links Information and Blocking Percentages to Improve the Internet Filtering in Saudi Arabia إستخدام معلومات روابط الإنترنت والنسب المئوية للحجب لتحسين فعالية ترشيح الإنترنت في المملكة العربية السعودية |
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Subject |
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Improving Internet Filtering in Saudi Arabia |
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Document Language |
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English |
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Abstract |
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People in Saudi Arabia are using the Internet increasingly. An endless array of subjects is available on the Internet, including sex, pornography, hate, and violence is all prohibited in the Saudi Arabian culture and by the religion of Islam. Therefore, the Saudi Arabian government authorized King Abdulaziz City for Science and Technology (KACST) to control and filter the Internet before providing it to the Internet Service Providers “ISP’s” in order to protect people from undesired material. This endeavor to keep the Internet clean has been successfully done. Nevertheless in some cases, this attempt was under-inclusive “failed to block access to sites with objectionable material”, or over-inclusive “blocked access to sites with non-objectionable material”. This shortcoming is inherent in any filtering device though; in other words, there is no full proof filter of any sort.
This thesis investigated the aforementioned issues and developed a program entitled “Suggest Unblocking Blocking Lists Creator program” or “SUBLC” to generate two lists that propose some web pages to be unblocked and others to be blocked. A Web site or page often has links to other web sites or pages in the same domain of interest. Hence, information obtained from these reference sites can be used to assist in the filtering process.
SUBLC took advantage of the relationship between web pages by using their links to each other, and the blocking percentage of each one to suggest blocking and unblocking of web pages. The experiment was done on a sample of 1911 web pages, which were drawn from the Internet from Yahoo categories and sub-categories and from searching for some specific objectionable and non-objectionable words by using different search engines such as Google, AltaVista and HotBot. The experiment depended heavily on the blocking percentages of the web page and on the links between these web pages.
Upon examination of these lists by KACST it was found that incorporating this new method of filtering with the existing method would improve the current filtering capability. In fact, KACST has taken advantage of the SUBLC results which implies that improvement of existing filtering systems can be achieved. |
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Supervisor |
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Mohammad Amin |
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Thesis Type |
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Master Thesis |
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Publishing Year |
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1427 AH
2007 AD |
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Number Of Pages |
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91 |
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Added Date |
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Sunday, February 7, 2010 |
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Researchers
| عـبير بشـير زمـو | Zimmo, Abeer Basheer | Investigator | Master | azimmo@kau.edu.sa |
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Files
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25257.pdf
| pdf | مستخلص رسالة ماجستير باللغة العربية والإنجليزية
Master Thesis Abstract in English @ Arabic language |
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