کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
5000813 1460841 2017 11 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Using discriminant analysis to detect intrusions in external communication for self-driving vehicles
ترجمه فارسی عنوان
با استفاده از تجزیه و تحلیل تجزیه و تحلیل برای تشخیص نفوذ در ارتباط خارجی برای وسایل نقلیه خود رانندگی
موضوعات مرتبط
مهندسی و علوم پایه سایر رشته های مهندسی کنترل و سیستم های مهندسی
چکیده انگلیسی
Security systems are a necessity for the deployment of smart vehicles in our society. Security in vehicular ad hoc networks is crucial to the reliable exchange of information and control data. In this paper, we propose an intelligent Intrusion Detection System (IDS) to protect the external communication of self-driving and semi self-driving vehicles. This technology has the ability to detect Denial of Service (DoS) and black hole attacks on vehicular ad hoc networks (VANETs). The advantage of the proposed IDS over existing security systems is that it detects attacks before they causes significant damage. The intrusion prediction technique is based on Linear Discriminant Analysis (LDA) and Quadratic Discriminant Analysis (QDA) which are used to predict attacks based on observed vehicle behavior. We perform simulations using Network Simulator 2 to demonstrate that the IDS achieves a low rate of false alarms and high accuracy in detection.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Digital Communications and Networks - Volume 3, Issue 3, August 2017, Pages 180-187
نویسندگان
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