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New BGP route leaks classification and detection using supervised machine learning technique / Salma Abdelmonem Abdelmotaleb Mohamed ; Supervised Samir I. Shaheen , Ahmed Bashandy

By: Contributor(s): Material type: TextTextLanguage: English Publication details: Cairo : Salma Abdelmonem Abdelmotaleb Mohamed , 2019Description: 96 P. : charts ; 30cmOther title:
  • طريقة جديدة لتصنيف و اكتشاف تسريبات معلومات سكك الوصول الى وجهات الانترنت باستخدام طرق التعليم الغير موجهة [Added title page title]
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  • Issued also as CD
Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: The route leaks problem is considered one of the unsolved problems in BGP through the previous 15 years. The confidentiality of autonomous systems (ASes) relationships and the lake of advertisement of route leaks incidents are the main two reasons behind this. This thesis solves the route leaks problem relaying on three steps: A new taxonomy for the route leaks types based on their effects to the BGP Traffic not to their ASes relationships is proposed, the first dataset for published real route leaks incidents through the previous years is collected and labeled as route leaks or normal traffic, and the first real-time detection system of route leaks problem using complex features extracted from BGP Update messages only and using Classification algorithms is proposed. The system achieves the best accuracy of 88% and 92% F1 Score, the whole system can detect route leaks upon receiving them in real-time as it runs in less than one second
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Item type Current library Home library Call number Copy number Status Date due Barcode
Thesis Thesis قاعة الرسائل الجامعية - الدور الاول المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2019.Sa.N (Browse shelf(Opens below)) Not for loan 01010110080321000
CD - Rom CD - Rom مخـــزن الرســائل الجـــامعية - البدروم المكتبة المركزبة الجديدة - جامعة القاهرة Cai01.13.06.M.Sc.2019.Sa.N (Browse shelf(Opens below)) 80321.CD Not for loan 01020110080321000

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

The route leaks problem is considered one of the unsolved problems in BGP through the previous 15 years. The confidentiality of autonomous systems (ASes) relationships and the lake of advertisement of route leaks incidents are the main two reasons behind this. This thesis solves the route leaks problem relaying on three steps: A new taxonomy for the route leaks types based on their effects to the BGP Traffic not to their ASes relationships is proposed, the first dataset for published real route leaks incidents through the previous years is collected and labeled as route leaks or normal traffic, and the first real-time detection system of route leaks problem using complex features extracted from BGP Update messages only and using Classification algorithms is proposed. The system achieves the best accuracy of 88% and 92% F1 Score, the whole system can detect route leaks upon receiving them in real-time as it runs in less than one second

Issued also as CD

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