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An approach for detecting and preventing DoS attacks in LAN
العناوين الأخرى
آلية اكتشاف و منع هجمات الحرمان من الخدمة في الشبكات المحاية
مقدم أطروحة جامعية
مشرف أطروحة جامعية
أعضاء اللجنة
al-Halis, Ala Mustafa
Abu Nasir, Sami Salim
الجامعة
الجامعة الإسلامية
الكلية
كلية تكنولوجيا المعلومات
دولة الجامعة
فلسطين (قطاع غزة)
الدرجة العلمية
ماجستير
تاريخ الدرجة العلمية
2015
الملخص الإنجليزي
Nowadays, Denial of service (DoS) attacks, have become a major security threat to networks and to the Internet, DoS is harmful to the networks as it delays legitimate users from accessing the server, usually services such as in the Medical field, E-business field, etc.
are out.
In critical cases, may cause the server shut down, wasting valuable resources, therefore, leading to financial loss and in worst cases, loss of patient life due to delays in medical tests.
Moreover, the DoS detection problem is complex because attackers always invent new methods that can't be recognized easily, so many traditional approaches were used, such as, intrusion detection to detect intrusions through their signatures, but these techniques were unable to protect networks and servers before the appearance of their signatures.
In general, some researches were done to detect and prevent DoS from occurring in a wide area network (WAN), but fewer researches were done on Local Area Network (LAN) to detect and prevent DoS attacks, and therefore increasing network security, yet, detecting and preventing DoS attacks is still a challenging task, especially in LAN.
In this research, we proposed an approach using data mining techniques by combination of classifiers (decision tree and k-nearest neighbor) to detecting and preventing DoS attacks.
Our work is based on European Gaza Hospital (EGH) Dataset that is collected from EGH network ,then Labeled dataset manually.
In addition preprocessing and processing stages, our approach is implemented using Rapidminer and exploits data mining algorithms to identify DoS attacks.
The experimental results showed that the proposed approach is effective in identifying DoS attacks, our designed approach achieves significant results.
In the average case, our accuracy is up to 99.96%, we used defense mechanism and compared our approach with other approaches, and we found that our approach achieved best results in accuracy.
التخصصات الرئيسية
تكنولوجيا المعلومات وعلم الحاسوب
الموضوعات
عدد الصفحات
61
قائمة المحتويات
Table of contents.
Abstract.
Abstract in Arabic.
Chapter One : Introduction.
Chapter Two : Theoretical foundation.
Chapter Three : Related works.
Chapter Four : An approach for detecting and preventing DoS attacks in LAN.
Chapter Five : Experimental results and evaluation.
Chapter Six : Conclusion and future work.
References.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Tabash, Majid Ismail Muhammad. (2015). An approach for detecting and preventing DoS attacks in LAN. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688562
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Tabash, Majid Ismail Muhammad. An approach for detecting and preventing DoS attacks in LAN. (Master's theses Theses and Dissertations Master). Islamic University. (2015).
https://search.emarefa.net/detail/BIM-688562
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Tabash, Majid Ismail Muhammad. (2015). An approach for detecting and preventing DoS attacks in LAN. (Master's theses Theses and Dissertations Master). Islamic University, Palestine (Gaza Strip)
https://search.emarefa.net/detail/BIM-688562
لغة النص
الإنجليزية
نوع البيانات
رسائل جامعية
رقم السجل
BIM-688562
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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