Analysis and detection of routing attacks in the internet of Things using Deep learning

الموضوعات

علوم تطبيقية وتكنولوجية

الملخص

Internet of things applicationsis growing day by day, as they are being used in many areas and systems, and as their uses and modes of employment increase, there are many gaps with them, the most important problem is security.IOT hasa large number of connected devices and therefore mobile data traffic is large and routing protocolsare a key element.IOT has many routing protocols, the most widely used isRPL protocol, which takes into account limited power and the device’scapabilities,but it suffers from several weaknesses, the most important one is routing based attacks which targeting this protocol.In this work, we aim to solve the problem of Internet of Things exposure to RPL-based attacks as routing protocol. We built ananomaly intrusion detection systembased on deep learning and an IoT attacks dataset(Minerva-IoT)containing the most important attacks built through Cooja simulatorand implementation of different scenarios that allowed for the extraction of important features with the addition of new sensitive features such as nodes powerand their geographical location,balancingthedataset by fix minority classes(rare attacks)to avoid fake performance using smart algorithms

روابط وملفات

الوثيقة في المستودع الخارجي عرض في AskZad

التعريف والنوع

رقم الوثيقة: 100a66e7-17d4-45ba-ae11-31d36d8374ff
رقم العقد: 0
نوع الوسائط: Crawler
نوع المحتوى: الرسائل العلمية
صيغة المصدر: ماستر (LMD)
نوع الملف: pdf text
أسماء الملفات: 2249858_1.pdf

بيانات النشر

ألقاب المؤلفين: [{"name_ar":"Abdelkader Alem ","title_ar":"اشراف","title_en":"Supervision"},{"name_ar":"Abdelkarim Smaili","title_ar":"اعداد","title_en":"Preparation"},{"name_ar":"Imad Eddine Kachour ","title_ar":"اعداد","title_en":"Preparation"}]
اللغة: English

المصدر والدورية

اسم المصدر: Analysis and detection of routing attacks in the internet of Things using Deep learning

المحتوى والصفحات

عدد الصفحات: 0
كلمات الباحثين: Internet of things, DODAG, RPL, Security, Attacks, intrusion detection systems

إشراف وإعداد

الإشراف: Abdelkader Alem
الإعداد: Abdelkarim Smaili, Imad Eddine Kachour

الاقتباسات الببليوغرافية

APA

Abdelkader Alem ،Abdelkarim Smaili و Imad Eddine Kachour . (2021). Analysis and detection of routing attacks in the internet of Things using Deep learning. أطروحة(ماستر (LMD)). كلية الرياضيات وعلوم الحاسب-جامعة ابن خلدون – تيارت. الجزائر.

MLA

Abdelkader Alem ،Abdelkarim Smaili و Imad Eddine Kachour . Analysis and detection of routing attacks in the internet of Things using Deep learning. 2021. كلية الرياضيات وعلوم الحاسب-جامعة ابن خلدون – تيارت، ماستر (LMD).