Queue Limiting Algorithm (QLA) for Protecting VANET from Denial of Service (DoS) Attack

Sinha, Aditya; Mishra, Santosh Kumar

doi:10.5120/15004-3153

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…Moreover, they both used two different datasets for the evolution of the system, which leads to higher computational complexity, longer time to complete the processing time, and entails a low detection time. Also, in [15], authors used the Queue Limiting Algorithm (QLA) to secure VANET from DoS attack. This solution aims to enhance the DSRC channels' safety and provide more security to the road drivers.…”

Section: Related Workmentioning

confidence: 99%

Prediction and detection model for hierarchical Software-Defined Vehicular Network

Amari¹,

Khoukhi

Belguith³

2022

2022 IEEE 47th Conference on Local Computer Networks (LCN)

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Vehicle Ad-hoc Network (VANET) is the main component of the intelligent transportation system. With the development of the next-generation intelligent vehicular networks, the latter aims to provide strategic and secure services and communications in roads and smart cities. Due to VANET's unique characteristics, such as high mobility of its nodes, self-organization, distributed network, and frequently changing topology, security, data integrity, and users' privacy information are major concerns. Also, attack prevention is still an open issue. Distributed Denial of Service (DDoS) is one of the most dangerous attacks in VANETs, which aims to flood the system's bandwidth. In this article, we propose a hierarchical architecture for securing Software-Defined Vehicular Network (SDVN) and a security model for predicting and detecting DDoS attacks based on behavioral analysis of nodes achieved by a Markov stochastic process. Simulation results show that our model effectively mitigates DDoS attacks with a high-reliability rate.

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Section: Related Workmentioning

confidence: 99%

Prediction and detection model for hierarchical Software-Defined Vehicular Network

Amari¹,

Khoukhi

Belguith³

2022

2022 IEEE 47th Conference on Local Computer Networks (LCN)

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“…Another method is the Queue Limiting Algorithm (QLA) [16], for Defensive VANET from DoS attacks. This proposed scheme works on the safety channels of DSRC to protect the lives of drivers on the road.…”

Section: Related Workmentioning

confidence: 99%

A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks

Kolandaisamy

Noor

Ahmedy

et al. 2018

Wireless Communications and Mobile Computing

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Vehicular Ad Hoc Networks (VANETs) are rapidly gaining attention due to the diversity of services that they can potentially offer. However, VANET communication is vulnerable to numerous security threats such as Distributed Denial of Service (DDoS) attacks. Dealing with these attacks in VANET is a challenging problem. Most of the existing DDoS detection techniques suffer from poor accuracy and high computational overhead. To cope with these problems, we present a novel Multivariant Stream Analysis (MVSA) approach. The proposed MVSA approach maintains the multiple stages for detection DDoS attack in network. The Multivariant Stream Analysis gives unique result based on the Vehicle-to-Vehicle communication through Road Side Unit. The approach observes the traffic in different situations and time frames and maintains different rules for various traffic classes in various time windows. The performance of the MVSA is evaluated using an NS2 simulator. Simulation results demonstrate the effectiveness and efficiency of the MVSA regarding detection accuracy and reducing the impact on VANET communication.

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“…It identifies the vehicle or the attacker vehicle that injects the false information packet into the network and then it blocks the activity of the attacker node and manages the traffic schedule affected by the attacker. Aditiya Sinha proposed QLA (Queue limiting algorithm) [3] for protection of VANET from DoS attack. For the protection purpose they have assigned a queue to each node.…”

Section: Literature Reviewmentioning

confidence: 99%

A Novel approach for Detection of Distributed Denial of Service attack in VANET

Bansal¹,

Sharma²,

Prakash³

2015

IJCA

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Vehicular ad hoc Networks (VANETs) are new upcoming technology providing appropriate communication to the vehicles as well as passengers with no fixed infrastructure. In today's life, maintaining the heavy traffic is very difficult that gives bad impact to roads safety and throughput of network. Researchers have done a lot of work in VANET, but still the security got affected from malicious attacks. To maintain the availability, network must be available at the time when vehicles interact with each other. This paper introduces a scheme to detect DDoS attack, as this attack gives adverse effect to network availability. According to our scheme, a Local Protection Node (LPN) is selected from the hierarchical architecture. PDR value and the threshold value has been compared, when these two values become equal a Monitor mode message is to be transmitted by LPN to other vehicles in the network for the purpose of sensing. Any vehicle that injects large number of false packets will be detected as an attacker and thus packets from evil node will be discarded. The proposed scheme is very simple and efficient. General TermSecurity

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Queue Limiting Algorithm (QLA) for Protecting VANET from Denial of Service (DoS) Attack

Cited by 5 publications

References 6 publications

Prediction and detection model for hierarchical Software-Defined Vehicular Network

Prediction and detection model for hierarchical Software-Defined Vehicular Network

A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks

A Novel approach for Detection of Distributed Denial of Service attack in VANET

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