Security and Connectivity Analysis in Vehicular Communication Networks

2014 ◽  
pp. 83-107
Author(s):  
Hamada Alshaer ◽  
Sami Muhaidat ◽  
Raed Shubair ◽  
Moein Shayegannia
Keyword(s):  
Communication Networks ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Statistical Distribution ◽  
Spatial Density ◽  
Transmission Range ◽  
Vehicular Communications ◽  
Secret Keys ◽  
Vehicular Communication Networks ◽  
Hoc Networks

Reliable Vehicular Ad-Hoc Networks (VANETs) require secured uninterrupted uplink and downlink connectivity to guarantee secure ubiquitous vehicular communications. VANET mobility, multi-fading wireless, and radio channels could result in unsecured and disrupted vehicular communications, isolating some vehicle nodes and making them vulnerable to security attacks. A VANET is considered to be connected and secured if there is a secured path connecting any pair of Communication-Enabled Vehicles (CEVs) in this network. Among many parameters, VANET connectivity depends on two main elements: communication transmission range and statistical distribution characterizing inter-vehicle spacing. To guarantee persistent VANET connectivity, a vehicle transmission radio range must be set properly based on the characteristic of the statistical distribution modeling the inter-vehicle spacing. This chapter analyzes three inter-vehicle spacing models based on exponential, Generalized Extreme Value (GEV), and Exponential with Robustness Factor (EwRF) statistical distributions. Based on vehicle nodes spatial density on a road segment, each vehicle node can adjust its transmission range to increase network connectivity and guarantee ubiquitous vehicular communications. Communications among vehicle nodes are secured through trusted Road-Side Units (RSUs) which distribute efficiently secret keys to vehicle nodes under their coverage to establish secure communication sessions.

Vehicular Communications Networks

2010 ◽  
pp. 251-262 ◽  
Author(s):  
Moez Jerbi ◽  
Sidi-Mohammed Senouci ◽  
Yacine Ghamri-Doudane ◽  
Mohamed Cherif
Keyword(s):  
Wireless Communications ◽  
Communication Networks ◽  
Vehicular Ad Hoc Networks ◽  
Dynamic Networks ◽  
Vehicular Communications ◽  
Communications Networks ◽  
International Projects ◽  
Potential Applications ◽  
Hoc Networks ◽  
Vehicle Infrastructure Integration

Vehicular communications networks (VCNs) are created by vehicles equipped with short and medium range wireless communication technology. They include vehicular ad-hoc networks (VANETs), vehicle-to-vehicle and vehicle-to-infrastructure communications. VCNs enable a plethora of important applications and services, ranging from active safety or safety of life applications to traffic information, music/maps download and multi-hop internet connection. Recently, the promises of wireless communications to support vehicular safety applications have led to several national/international projects around the world. These include the consortia like Vehicle Safety Consortium (US), Car-2-Car Communication Consortium (Europe) and Advanced Safety Vehicle Program (Japan), standardization efforts like IEEE 802.11p (WAVE), and field trials like the large-scale Vehicle Infrastructure Integration Program (VII) in the US. All these efforts have as a main goal to improve safety in vehicular environments by the use of wireless communications, but also consider transport efficiency, comfort and environment. In comparison to other communication networks, VCNs come with unique attractive features: unlimited transmission power, predictable mobility and plethora of potential applications. However, to bring its potency to fruition, VCNs have to cope with formidable challenges that include: rapidly changing topology subject to frequent fragmentations and congestions, lack of connectivity redundancy, and the stringent application requirement on real-time and robust message delivery. In this chapter, we present a detailed description of the state of the art of this fast-moving research area pointing to research, projects and standardization efforts that have been done. We explore the unique features and challenges that characterise these highly dynamic networks as well as their requirements with respect to applications, types of communication, self-organization and security. We discuss various forwarding and routing strategies focussing on position-based techniques including ‘anchor-based routing‘. We survey various ‘intelligent flooding’ and information dissemination approaches. Scenarios for highways and cities are taken as example. We conclude by exploring future research directions in this field.

An Illustrative Study of Vehicle Ad-Hoc Network Security using Advanced Encryption Standard Algorithm

2021 ◽  
Vol 7 (2) ◽  
Author(s):  
Akshay Kumar MV ◽  
Amogh C ◽  
Bhuvan S Kashyap ◽  
Drupad N Maharaj ◽  
Shazia Sultana
Keyword(s):  
Ad Hoc Networks ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Transport Systems ◽  
Advanced Encryption Standard ◽  
Intelligent Transport System ◽  
Road Accidents ◽  
Intelligent Transport ◽  
Hoc Networks

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.

Toward a Security Scheme for an Intelligent Transport System

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.

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

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.

scholarly journals Internet of Vehicles over Vanets: Smart and Secure Communication using IoT

2020 ◽  
Vol 21 (3) ◽  
pp. 425-440 ◽  
Author(s):  
Sumit Kumar ◽  
Jaspreet Singh
Keyword(s):  
Traffic Congestion ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Communication ◽  
Security And Privacy ◽  
The Internet ◽  
Time Data ◽  
Internet Of Vehicles ◽  
Hoc Networks

The new age of the Internet of Things (IoT) is motivating the advancement of traditional Vehicular Ad-Hoc Networks (VANETs) into the Internet of Vehicles (IoV). This paper is an overview of smart and secure communications to reduce traffic congestion using IoT based VANETs, known as IoV networks. Studies and observations made in this paper suggest that the practice of combining IoT and VANET for a secure combination has rarely practiced. IoV uses real-time data communication between vehicles to everything (V2X) using wireless communication devices based on fog/edge computing; therefore, it has considered as an application of Cyber-physical systems (CPS). Various modes of V2X communication with their connecting technologies also discussed. This paper delivers a detailed introduction to the Internet of Vehicles (IoV) with current applications, discusses the architecture of IoV based on currently existing communication technologies and routing protocols, presenting different issues in detail, provides several open research challenges and the trade-off between security and privacy in the area of IoV has reviewed. From the analysis of previous work in the IoV network, we concluded the utilization of artificial intelligence and machine learning concept is a beneficial step toward the future of IoV model.

scholarly journals Modeling Elliptical Curve Cryptography Keys using Back Propagation Algorithm

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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