End-to-end authentication based secure communication in vehicular ad hoc networks (VANET)

India accounts for the highest road accidents and traffic congestion globally. The necessity for a canny vehicle framework is of great importance. VANET, abbreviated as Vehicular ad hoc networks is a network created in an ad hoc manner where different vehicles can exchange useful information among each other with dedicated servers ensuring safe travel. Security in VANET has always been a challenge in implementing a real time intelligent transport system. VANET is a type of mobile ad-hoc, to give correspondences among close by vehicles and among vehicles and close by fixed hardware. Vehicular ad hoc networks are highly dynamic in nature and suffer from frequent path breakage due to the high velocity of the moving vehicle. Hence, there are many security challenges and different types of attacks that makes VANETs less secure. Therefore, providing secure dedicated short-range communication (DSRC) easefully with any loss of data or malicious nodes has been a major research area. The major concern being addressed in the paper is to provide secure communication and save lives in road accidents. The role of security is high and messages in DSRC send warning messages to other vehicles. If attackers change these messages, then accidents become a part of the network and users’ lives can be at risk. Different classes of attacks include monitoring attack, social attack, timing attack, application attack and network attack to name a few. Advanced encryption standard is a symmetric block encryption algorithm. There is no evidence to crack this algorithm till date. This paper will provide a detailed overview of VANET architecture, types of attacks on VANET, AES algorithm and its salient features and how this algorithm could be utilized to make intelligent transport systems secure.

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Toward a Security Scheme for an Intelligent Transport System

Artificial Intelligence and Security Challenges in Emerging Networks - Advances in Computational Intelligence and Robotics ◽

10.4018/978-1-5225-7353-1.ch009 ◽

2019 ◽

pp. 221-236

Author(s):

Amira Kchaou ◽

Ryma Abassi ◽

Sihem Guemara El Fatmi

Keyword(s):

Ad Hoc Networks ◽

Transport System ◽

Secure Communication ◽

Trust Management ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Intelligent Transport System ◽

Intelligent Transport ◽

Security Scheme ◽

Hoc Networks

Vehicular ad-hoc networks (VANETs) allow communication among vehicles using some fixed equipment on roads called roads side units. Vehicular communications are used for sharing different kinds of information between vehicles and RSUs in order to improve road safety and provide travelers comfort using exchanged messages. However, falsified or modified messages can be transmitted that affect the performance of the whole network and cause bad situations in roads. To mitigate this problem, trust management can be used in VANET and can be distributive for ensuring safe and secure communication between vehicles. Trust is a security concept that has attracted the interest of many researchers and used to build confident relations among vehicles. Hence, the authors propose a secured clustering mechanism for messages exchange in VANET in order to organize vehicles into clusters based on vehicles velocity, then CH computes the credibility of message using the reputation of vehicles and the miner controls the vehicle's behavior for verifying the correctness of the message.

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Security-aware dual-hop communication for amplify-and-forward relay networks

International Journal of Distributed Sensor Networks ◽

10.1177/1550147719878079 ◽

2019 ◽

Vol 15 (9) ◽

pp. 155014771987807

Author(s):

Fei Ding ◽

Xiaojun Sun ◽

Xiaojin Ding ◽

Ruoyu Su ◽

Dengyin Zhang ◽

...

Keyword(s):

Ad Hoc Networks ◽

Secure Communication ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Average Power ◽

Base Station ◽

Power Scaling ◽

Message Delivery ◽

Amplify And Forward ◽

Hoc Networks

The authentication scheme for vehicular ad hoc networks aims to improve the security and integrity of message delivery. The base station manages a large number of vehicular nodes, so the security communications are non-trivial. In this article, we propose an amplify-and-forward strategy for a dual-hop cooperative network in order to improve secure communications for vehicular ad hoc networks. We assume that each vehicular node equipped with a single antenna and derive closed-form expressions for the secure communication rate calculation. Moreover, we propose a cooperative strategy by jointly considering average power scaling and instantaneous power scaling, which are proved to be able to achieve information security. The simulation result shows that the proposed scheme can achieve better performance in scenarios with different signal-to-noise ratio.

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Modeling Elliptical Curve Cryptography Keys using Back Propagation Algorithm

International Journal of Innovative Technology and Exploring Engineering - Special Issue ◽

10.35940/ijitee.i3318.0789s319 ◽

2019 ◽

Vol 8 (9S3) ◽

pp. 1525-1529

Keyword(s):

Ad Hoc Networks ◽

Secure Communication ◽

Vehicular Ad Hoc Networks ◽

Ad Hoc ◽

Back Propagation ◽

Back Propagation Algorithm ◽

Public And Private ◽

Moving Vehicles ◽

Identity Based ◽

Hoc Networks

Vehicular Ad Hoc Networks (VANETs) are the newest for of Ad Hoc Networks in which moving vehicles act as routers and nodes to form a network. VANETs use many cryptographic approaches like symmetric key approaches, public key approaches, certificate revocation, pseudonym based approaches, identity-based cryptography, identity-based signature, Elliptical Curve Cryptography (ECC) etc. for secure communication. These techniques use public and private keys for enhancing the security of messages and all these keys are stored on hardware devices like TPDs (Temper Proof Devices) in VANETs. TPDs are protected by the cryptographic algorithms. In this present era of technology these algorithms and their online simulators are freely available on internet and can be easily intruded. There is a potential need to enhance the security of these keys. In this paper we worked on enhancing the security of ECC keys stored in TPDs of VANETs using a specific network of Artificial Neural Networks.

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