An enhancement of the replacement steady state genetic algorithm for intrusion detection

العناوين الأخرى

تحسين إبدال الخوارزمية الجينية لحالة الاستقرار لكشف التطفل

مقدم أطروحة جامعية

Aziz, Shadha Abd al-Hafiz

مشرف أطروحة جامعية

Naum, Riyad Shakir

أعضاء اللجنة

al-Kayid, Ahmad
al-Arabiyat, Abd al-Salam W.

الجامعة

جامعة الشرق الأوسط

الكلية

كلية تكنولوجيا المعلومات

القسم الأكاديمي

قسم نظم المعلومات الحاسوبية

دولة الجامعة

الأردن

الدرجة العلمية

ماجستير

تاريخ الدرجة العلمية

2014

الملخص الإنجليزي

In these days, Internet and computer systems face many intrusions without detection or prevention by security systems built for this purpose; large volume of important data is transferred through the networks such as personal data and credit cards information.

Thus, the networks security has become more important than before.

This led the researchers to make additional researches to develop Intrusion Detection Systems.

An Intrusion Detection System (IDS) is a system used to monitor the events and detect attacks; Steady State Genetic Algorithm is applied to support IDS by supplying the rule pool with additional data, these data can be used in testing phase to detect the attacks.

The main goal of this research is to enhance Replacement steady state genetic algorithm to detect intrusions.The enhancement has been achieved by comparingreplacement methods.

This research provides that the Triple Tournament Replacementproduces more accurate results than Binary Tournament Replacement in increasingDetection Rate(DR), but both of methodsgive the same values of False Positive Rate (FPR).The results of DR with Triple Replacement are 100% for three types of attack (DoS, Probe and R2L) and 53% for U2R.The average ofDRof this system is 88.25%, andFPR is 1.48%.

It’s considered accepted results when comparing with the previous results.

التخصصات الرئيسية

تكنولوجيا المعلومات وعلم الحاسوب

عدد الصفحات

90

قائمة المحتويات

• APA
• MLA
• AMA

لغة النص

الإنجليزية

نوع البيانات

رسائل جامعية

رقم السجل

BIM-694380