Application of an Artificial Neural Network for Detection of Attacks in VANETs


如何引用文章

全文:

开放存取 开放存取
受限制的访问 ##reader.subscriptionAccessGranted##
受限制的访问 订阅存取

详细

This work contains results of developing an approach for detecting routing attacks in VANET networks using an artificial neural network. In the course of this work, such research methods as analysis and modeling were used to select the most promising approach for identifying routing attacks, as well as to develop a mock-up of a software system that detects Gray Hole attacks in VANETs. According to the results of experimental studies, the effectiveness of the developed software was evaluated.

作者简介

E. Malyshev

Peter the Great St. Petersburg Polytechnic University

编辑信件的主要联系方式.
Email: egorpw@yandex.ru
俄罗斯联邦, St. Petersburg, 195251

D. Moskvin

Peter the Great St. Petersburg Polytechnic University

编辑信件的主要联系方式.
Email: moskvin@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251

D. Zegzhda

Peter the Great St. Petersburg Polytechnic University

编辑信件的主要联系方式.
Email: dmitry@ibks.spbstu.ru
俄罗斯联邦, St. Petersburg, 195251

补充文件

附件文件
动作
1. JATS XML

版权所有 © Allerton Press, Inc., 2019