Blackhole Attack and its effect on VANET

Upadhyaya, Ajay N.; Shah, Jainam

doi:10.26438/ijcse/v5i11.2532

Cited by 4 publications

(7 citation statements)

References 3 publications

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“…Chadha et al [12] and Jain et al [13] developed a different approach that assumes the first received route reply is usually from a black-hole node and the subsequent route reply messages are safe. Alternatively, Upadhyaya et al [14] used the AODV protocol to implement three approaches for black-hole detection. The first approach is based on the awareness of neighbours each neighbour observes the trusted values of the others.…”

Section: Traditional Trusted Routing Approachesmentioning

confidence: 99%

Mitigating Blackhole and Greyhole Routing Attacks in Vehicular Ad Hoc Networks Using Blockchain Based Smart Contracts

Alabdulatif,

Alharbi,

Mchergui

et al. 2024

CMES

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The rapid increase in vehicle traffic volume in modern societies has raised the need to develop innovative solutions to reduce traffic congestion and enhance traffic management efficiency. Revolutionary advanced technology, such as Intelligent Transportation Systems (ITS), enables improved traffic management, helps eliminate congestion, and supports a safer environment. ITS provides real-time information on vehicle traffic and transportation systems that can improve decision-making for road users. However, ITS suffers from routing issues at the network layer when utilising Vehicular Ad Hoc Networks (VANETs). This is because each vehicle plays the role of a router in this network, which leads to a complex vehicle communication network, causing issues such as repeated link breakages between vehicles resulting from the mobility of the network and rapid topological variation. This may lead to loss or delay in packet transmissions; this weakness can be exploited in routing attacks, such as black-hole and gray-hole attacks, that threaten the availability of ITS services. In this paper, a Blockchain-based smart contracts model is proposed to offer convenient and comprehensive security mechanisms, enhancing the trustworthiness between vehicles. Self-Classification Blockchain-Based Contracts (SCBC) and Voting-Classification Blockchain-Based Contracts (VCBC) are utilised in the proposed protocol. The results show that VCBC succeeds in attaining better results in PDR and TP performance even in the presence of Blackhole and Grayhole attacks.

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Section: Traditional Trusted Routing Approachesmentioning

confidence: 99%

Mitigating Blackhole and Greyhole Routing Attacks in Vehicular Ad Hoc Networks Using Blockchain Based Smart Contracts

Alabdulatif,

Alharbi,

Mchergui

et al. 2024

CMES

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show abstract

“…This included protocols for message exchange, data formats, and transmission mechanism, incorporates security and privacy features to safeguard the integrity of communications and protect sensitive information exchanged in vehicular networks. This is crucial given the potential risks associated with unauthorized access and malicious attacks in VANETs [35].…”

Section: Vanets Historymentioning

confidence: 99%

“…Authors in [35] explored the architecture of VANETs into three major domains, creating a holistic framework that integrates the ad hoc, infrastructure, and in-vehicle domains to create a connected and intelligent vehicular communication system as shown in Figure 2.…”

Section: Figure 1 Basic Architecture Of Vanetsmentioning

confidence: 99%

Privacy and security issues surrounding vehicular Adhoc networks

Emmanuel Asituha

2023

World J. Adv. Res. Rev.

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Vehicular Ad-Hoc Networks (VANETs) is a type of mobile ad hoc network (MANET) specifically designed for communication among vehicles on the road. VANETs enable vehicles to communicate with each other and with roadside infrastructure, forming a dynamic and self-organizing network without the need for a fixed communication infrastructure. Security concerns in VANETs encompass a range of threats, including Authentication and Authorization attacks, Sybil attacks, Denial-of-Service incidents, Location spoofing, and Eavesdropping. Privacy, on the other hand, is a paramount concern in VANETs due to the sensitive nature of location-based data, Identity Disclosure, and user consent Control. The paper emphasizes the necessity for robust security mechanisms and outlines specific requirements for safeguarding VANETs. Proposed mitigation measures, including cryptographic techniques and authentication mechanisms, are critically assessed for their effectiveness and feasibility. The findings provide a comprehensive understanding of the complexities surrounding privacy and security in VANETs, contributing valuable insights for the development of resilient and privacy-preserving vehicular communication systems.

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“…Fabrication [2] Malware [10] Authenticity Sybil Attack [4] • Allowing the unauthorized user to access to network. GPS Spoofing [5] Replay Attack [3][8] Confidentiality Eavesdropping [10] • Access and share the vital information at network.…”

Section: Integritymentioning

confidence: 99%

“…GPS Spoofing [5] Replay Attack [3][8] Confidentiality Eavesdropping [10] • Access and share the vital information at network. ID Disclosure [12] Traffic Analyze [10] Availability DOS [4] • Making the vehicle out of service in the network and for other vehicle.…”

Section: Integritymentioning

confidence: 99%

A Secure VANET Model for Eavesdropping Attack Prevention

Abbasaghababazadeh

2023

Preprint

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<p>A Vehicular Ad Hoc Network (VANET) technology is becoming one of the most advanced technologies; however, the major barrier it faces is to keep the information secure and to improve its confidentiality. Recently, there have been some methods proposed to keep the information safe and implement the reliable platform for information transmission. However, based on the attacks varieties, and the way they are changing their approach, makes the system still insecure against some certain attacks. To overcome the vulnerability under the eavesdropping attack, we propose a solution to minimize the eavesdropping risk and protect the communication between vehicle and server. The solution can be considered as adding the road side unit (RSU). In fact, RSU is an extra neural network between vehicle and server which does not generate any key; however, it transfers the key from vehicle to the server. In this model, cipher text (encryption) is generated by RSU. In addition, the filters in the convolutional layers are used for encrypting the messages and to protect it against eavesdropping efficiently. We formally verify the security functionality of the solution scheme by training the neural networks based on different parameters. Analysis shows that our proposal has a strong ability to prevent eavesdropping attack.</p>

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Blackhole Attack and its effect on VANET

Cited by 4 publications

References 3 publications

Mitigating Blackhole and Greyhole Routing Attacks in Vehicular Ad Hoc Networks Using Blockchain Based Smart Contracts

Mitigating Blackhole and Greyhole Routing Attacks in Vehicular Ad Hoc Networks Using Blockchain Based Smart Contracts

Privacy and security issues surrounding vehicular Adhoc networks

A Secure VANET Model for Eavesdropping Attack Prevention

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