Automatic Detection of Node-Replication Attack in Vehicular Ad-hoc Networks

07/26/2018
by   Mohammed GH. I. Al Zamil, et al.
0

Recent advances in smart cities applications enforce security threads such as node replication attacks. Such attack is take place when the attacker plants a replicated network node within the network. Vehicular Ad hoc networks are connecting sensors that have limited resources and required the response time to be as low as possible. In this type networks, traditional detection algorithms of node replication attacks are not efficient. In this paper, we propose an initial idea to apply a newly adapted statistical methodology that can detect node replication attacks with high performance as compared to state-of-the-art techniques. We provide a sufficient description of this methodology and a road-map for testing and experiment its performance.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
12/12/2017

Security Issues in Vehicular Ad Hoc Networks (VANET): a survey

Vehicular Ad Hoc Networks (VANET) is a technology that has been recently...
research
05/09/2019

Detecting Sybil Attacks in Vehicular Ad Hoc Networks

Ad hoc networks is vulnerable to numerous number of attacks due to its i...
research
03/14/2023

An Intrusion Detection Mechanism for MANETs Based on Deep Learning Artificial Neural Networks (ANNs)

Mobile Ad-hoc Network (MANET) is a distributed, decentralized network of...
research
06/19/2018

Applications of Data Mining Techniques for Vehicular Ad hoc Networks

Due to the recent advances in vehicular ad hoc networks (VANETs), smart ...
research
07/14/2022

Node Replication: Theory And Practice

We define and study a term calculus implementing higher-order node repli...
research
11/02/2022

Hydra – A Federated Data Repository over NDN

Today's big data science communities manage their data publication and r...
research
03/31/2022

Boundary Node Detection and Unfolding of Complex Non-Convex Ad Hoc Networks

Complex non-convex ad hoc networks (CNCAH) contain intersecting polygons...

Please sign up or login with your details

Forgot password? Click here to reset