Security threats in vehicular ad hoc networks

Hasan, Ahmed Shoeb Al; Hossain, S.; Atiquzzaman, Mohammed

doi:10.1109/icacci.2016.7732079

Cited by 23 publications

(17 citation statements)

References 19 publications

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“…However, this may increase the complexity, which decreases the system performance. 37 • Efficiency: Efficiency of VANET can be improved by minimizing the overhead, reducing the computation, as well as delays. 38 • Freshness: To avoid the use of old messages in the communication, new messages should be verified at a regular interval.…”

Section: Security and Privacy Requirements In Vanetmentioning

confidence: 99%

“…Confidentiality may hide the genuine data used in the network and privacy should not allow accessing the data by intruders. Authorization: VANET should ensure that only authorized vehicles and RSAPs can avail the services provided by the network. Tracking of vehicle ID: Network must be able to track the identity of the vehicle, which sends/receives the messages. Scalability: VANET should be open‐handed in accepting the number of additional vehicles without affecting the system performance. However, this may increase the complexity, which decreases the system performance Efficiency: Efficiency of VANET can be improved by minimizing the overhead, reducing the computation, as well as delays …”

Section: Introductionmentioning

confidence: 99%

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A systematic review on security issues in vehicular ad hoc network

Tanwar

Vora

Tyagi

et al. 2018

Security and Privacy

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Vehicular ad hoc networks (VANETs) have been widely used in intelligent transportation system to provide safety and security alongwith reduction in traffic jam using vehicle‐to‐vehicle (V2V) and vehicle‐to‐roadside (V2R) unit communications. However, one of the major concerns in VANETs is to maintain the privacy and security of the sensitive information shared between vehicles and end‐users, as information leakage can influence any implemented solution in this environment. Keeping view on the above‐mentioned points, this paper provides a detailed survey on various types of attacks and possible solutions to handle these attacks. Using the proposed survey, a detailed taxonomy based upon the types of attacks and possible solutions to handle these attacks is proposed. Finally, various emerging open issues and challenges along with the security threats are identified and discussed in the paper. These open research issues motivate the communities to design new solutions to mitigate the existing new security threats in this area.

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Section: Security and Privacy Requirements In Vanetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A systematic review on security issues in vehicular ad hoc network

Tanwar

Vora

Tyagi

et al. 2018

Security and Privacy

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“…In a connected vehicular environment, information transmitted among the vehicles in terms of messages. However, many challenges still exist due to the difficulties in deployment and management of resources [2]. In specific, the current techniques for V2V and V2I communications do not provide guaranteed message delivery resulting in messages being dropped before reaching the destination.…”

Section: Introductionmentioning

confidence: 99%

DFCV: A Novel Approach for Message Dissemination in Connected Vehicles Using Dynamic Fog

Paranjothi

Khan

Atiquzzaman

2018

Lecture Notes in Computer Science

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Vehicular Ad-hoc Network (VANET) has emerged as a promising solution for enhancing road safety. Routing of messages in VANET is challenging due to packet delays arising from high mobility of vehicles, frequently changing topology, and high density of vehicles, leading to frequent route breakages and packet losses. Previous researchers have used either mobility in vehicular fog computing or cloud computing to solve the routing issue, but they suffer from large packet delays and frequent packet losses. We propose Dynamic Fog for Connected Vehicles (DFCV), a fog computing based scheme which dynamically creates, increments and destroys fog nodes depending on the communication needs. The novelty of DFCV lies in providing lower delays and guaranteed message delivery at high vehicular densities. Simulations were conducted using hybrid simulation consisting of ns-2, SUMO, and Cloudsim. Results show that DFCV ensures efficient resource utilization, lower packet delays and losses at high vehicle densities.

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“…Researchers in [21] exhibited that VANET security was the most research-adopted area due to its quality of providing better protection to drivers, vehicles, and so on. Vehicles in VANETs move with maximum acceleration, and also network topology dynamically changes which makes it hard to wipe out false invalid nodes totally and ensure dispersion of data among nodes safely.…”

Section: Literature Reviewmentioning

confidence: 99%

VANSec: Attack-Resistant VANET Security Algorithm in Terms of Trust Computation Error and Normalized Routing Overhead

Ahmed

Rehman²,

Ishtiaq

et al. 2018

Journal of Sensors

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VANET is an application and subclass of MANETs, a quickly maturing, promising, and emerging technology these days. VANETs establish communication among vehicles (V2V) and roadside infrastructure (V2I). As vehicles move with high speed, hence environment and topology change with time. There is no optimum routing protocol which ensures full-pledge on-time delivery of data to destination nodes, and an absolutely optimum scheme design for flawless packet exchange is still a challenging task. In VANETs, accurate and on-time delivery of fundamental safety alert messages (FSAMs) is highly important to withstand against maliciously inserted security threats affectively. In this paper, we have presented a new security-aware routing technique called VANSec. The presented scheme is more immune and resistive against different kinds of attacks and thwarts malicious node penetration attempts to the entire network. It is basically based on trust management approach. The aim of the scheme is to identify malicious data and false nodes. The simulation results of VANSec are compared with already existing techniques called trust and LT in terms of trust computation error (TCE), end-to-end delay (EED), average link duration (ALD), and normalized routing overhead (NRO). In terms of TCE, VANSec is 11.6% and 7.3% efficient than LT and trust, respectively, while from EED comparison we found VANSec to be 57.6% more efficient than trust and 5.2% more efficient than LT. Similarly, in terms of ALD, VANSec provides 29.7% and 7.8% more stable link duration than trust and LT do, respectively, and in terms of NRO, VANSec protocol has 27.5% and 14% lesser load than that of trust and LT, respectively.

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Security threats in vehicular ad hoc networks

Cited by 23 publications

References 19 publications

A systematic review on security issues in vehicular ad hoc network

A systematic review on security issues in vehicular ad hoc network

DFCV: A Novel Approach for Message Dissemination in Connected Vehicles Using Dynamic Fog

VANSec: Attack-Resistant VANET Security Algorithm in Terms of Trust Computation Error and Normalized Routing Overhead

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