Anti-censorship traffic classification : detection and prevention

العناوين الأخرى

تصنيف برامج تخطي الرقابة و إمكانية ضبطها و منعها

مقدم أطروحة جامعية

al-Quran, Raid M.

مشرف أطروحة جامعية

Hadi, Ali
al-Atum, Jalal

أعضاء اللجنة

al-Majali, Sufyan
al-Qatawnah, Jafar

الجامعة

جامعة الأميرة سمية للتكنولوجيا

الكلية

كلية الملك الحسين لعلوم الحوسبة

القسم الأكاديمي

قسم علم الحاسوب

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2014

الملخص الإنجليزي

Anti-Censorship applications are becoming increasingly popular mean to circumvent Internet Censorship, whether imposed by governments seeking to control the flow of information available to its citizens, or by parental figures wishing to shield their “parishioners” from the dangers of the Internet, or in an organization trying to restrict the Internet usage within its networking territory.

Numerous applications are readily accessible for the average user to aid-in bypassing Internet censorship.

Several technologies and techniques are associated with the formation of these applications, where usually, each of these applications XIV deploys its unique mechanism to circumvent Internet censorship.

Using anticensorship applications in the work environment can have a negative impact on the network leading to excessive degradation in the bandwidth, immense consumption of the Internet data usage capacity and possibly open the door for security breaches.

Triumphing the war on anti-censorship applications has become more difficult to achieve at the network level due to the rapid updates and adopting new technologies to circumvent censorship.

In this study, we provide a comprehensive overview on Internet censorship and anti-censorship applications, mainly Ultrasurf, by analyzing its behavior, classifying its traffic patterns and proposing a behavioral-based solution, that is capable of detecting and preventing the Ultrasurf traffic at the network level with low false-positive ratio

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

عدد الصفحات

96

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Background.

Chapter Three : Literature review.

Chapter Four :

Chapter Five : Results and discussion.

Chapter Six : Conclusions and future work.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Quran, Raid M.. (2014). Anti-censorship traffic classification : detection and prevention. (Master's theses Theses and Dissertations Master). Jordan
https://search.emarefa.net/detail/BIM-535255

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Quran, Raid M.. Anti-censorship traffic classification : detection and prevention. (Master's theses Theses and Dissertations Master). (2014).
https://search.emarefa.net/detail/BIM-535255

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Quran, Raid M.. (2014). Anti-censorship traffic classification : detection and prevention. (Master's theses Theses and Dissertations Master). Jordan
https://search.emarefa.net/detail/BIM-535255

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-535255