كشف الشذوذ الشبكي بالاعتماد على تقنيات الذكاء الصناعي الهجين

Authors

  • حسان صالح

Abstract

Artificial Intelligence could make the use of Intrusion Detection Systems a lot easier than it is today. As always, the hardest thing with learning Artificial Intelligence systems is to make them learn the right things. This research focuses on finding out how to make an Intrusion Detection Systems environment learn the preferences and work in a correct way, In this research hybrid intelligence system is designed and developed for network intrusion detection, where the research was presented four methods for network anomaly detection using clustering technology and dependence on artificial intelligence techniques, which include a Genetic Algorithm (GA) and Particle Swarm Optimization (PSO) to develop and improve the performance of intrusion detection system. The first method implemented by applying traditional clustering algorithm of KM in a way Kmeans on KDDcup99 data to detect attacks, in the way the second hybrid clustering algorithm HCA method was used where the Kmeans been hybridized with GA. In the third method PSO has been used. Depending on the third method the fourth method Modified PSO (MPSO) has been developed, This was the best method among the four methods used in this research.

يمكن أن تجعل  تقنيات الذكاء  الصناعي أنظمة كشف التطفل أسهل بكثير مها عليه اليوم وكمآ هو الحال دائما فإن أصعب  شيء في تعلم الأنظمة المصممة بتقنيات الذكاء الصنعي عملية تدريبها لتعلم الأمور الصحيحة. يركز هذا البحث على عمل بيئة لأنظمة كشف التطفل وتعليمها ممارسة  العمل بصورة صحيحة. صمم في هذا البحث نظام ذكاء صنعي مهجن ومطور لكشف التطفل الشبكي, اذ قدم البحث أربعة طرائق كشف الشذوذ الشبكي باستخدام تقنية العنقدة والاعتماد على تقنيات الذكاء الصناعي التي تتضمن الخوارزمية الجينية وخوارزمية سرب الطيور لتطوير وتحسين أداء نظام كشف التطفل. نفذت الطريقة الأولى بتطبيق خوارزمية  العنقدة التقليدية KM المتمثلة  بطريقة Kmeans على بيانات KDDcup99 لكشف الهجمات ,واستخدمت في الطريقة الثانية HCA طريقة العنقدة المهجنة اذ تم تهجين خوارزمية Kmeans مع الخوارزمية الجينية. أما في الطريقة الثالثة فقد تم استخدام خوارزمية سرب الطيور PSO .بالاعتماد على الطريقة الثالثة أنشأت الطريقة الرابعة وهي خوارزمية سرب الطيور المطورة MPSO وكانت هذه الطريقة الأفضل من بين الطرائق الأربعة المستخدمة في هذا البحث.

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Published

2019-10-31

How to Cite

1.
صالح ح. كشف الشذوذ الشبكي بالاعتماد على تقنيات الذكاء الصناعي الهجين. Tuj-eng [Internet]. 2019Oct.31 [cited 2024Dec.23];41(5). Available from: https://journal.tishreen.edu.sy/index.php/engscnc/article/view/9121

Issue

Vol. 41 No. 5 (2019): العلوم الهندسية

Section

Articles

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