A model for strengthening accuracy in detecting the anomalous firewall rules in small network (SADAR)‎

العناوين الأخرى

نموذج لتعزيز دقة امن الشبكات الصغيرة من خلال الكشف عن قواعد الشاذة في جدار الحماية

مقدم أطروحة جامعية

al-Rayyis, Imad Khamis Midhat

مشرف أطروحة جامعية

Barhum, Tawfiq Sulayman

أعضاء اللجنة

al-Attar, Ashraf Muhammad
Barhum, Ibrahim Khalil

الجامعة

الجامعة الإسلامية

الكلية

كلية تكنولوجيا المعلومات

دولة الجامعة

فلسطين (قطاع غزة)

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2015

الملخص الإنجليزي

The firewall policy rules is a core technology that has an important role in the network security, through controlling the traffic with income and outgoing the packets over the network.

Moreover, the management of the firewall policy rules is a very complicated function and error prone.

However, the poor management of the firewall policy rules work on vulnerability the network security and this is the main reasons to cause conflict between two rules or more.

The conflict between the rules it called the anomalous firewall policy rules.

There are five type of anomalous rules namely (shadowing anomalous, generalization anomalous, correlation anomalous, redundancy anomalous and irrelevance anomalous), each type of anomalous rules has a different degree of overlapping complexity between the rules.

We built a model for strengthening accuracy in detecting the anomalous firewall rules in a small network, supported in the detection four type of anomalous rules namely (shadowing, generalization, correlation and redundancy anomalous).

We applied different mechanism in matching process, through divided the IP address to four segments in array and matching every element in segment position with other element segment position in the same position and use the subnet mask to select the size of IP range.

We applied sixteen different experiment with different dataset sizes in detection the anomalous rules, and we used the confusion matrix in evaluate the result according to overall accuracy, and was the average of previous experiments according to the overall accuracy is 92.71% .

We believe that the result was acceptable because not there are any results in related research to compare with it.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

الموضوعات

عدد الصفحات

51

قائمة المحتويات

Table of contents.

Abstract.

Abstract in Arabic.

Chapter One : Introduction.

Chapter Two : Theory background.

Chapter Three : Related works.

Chapter Four : Methodology and Implementation.

Chapter Five : Experiments and evaluation.

Chapter Six : Conclusion and future work.

References.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

al-Rayyis, Imad Khamis Midhat. (2015). A model for strengthening accuracy in detecting the anomalous firewall rules in small network (SADAR). (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-610950

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

al-Rayyis, Imad Khamis Midhat. A model for strengthening accuracy in detecting the anomalous firewall rules in small network (SADAR). (Master's theses Theses and Dissertations Master). Islamic University. (2015).
https://search.emarefa.net/detail/BIM-610950

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

al-Rayyis, Imad Khamis Midhat. (2015). A model for strengthening accuracy in detecting the anomalous firewall rules in small network (SADAR). (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-610950

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-610950