A Comprehensive Study of Security Attack on VANET

Shetty, Shubha R; Manjaiah, D. H.

doi:10.1007/978-981-16-2937-2_25

Cited by 7 publications

(6 citation statements)

References 51 publications

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“…The most effective signal transmission model that best combines the receiver should also be selected if efficient jamming is accomplished in a VANET. researchers, including [17,65], examined some strategies to minimize the impact of jamming on ad hoc mobile networks.…”

Section: Location Privacy Attack Methods and Prevention For Iot In Vanetmentioning

confidence: 99%

“…The offender is trying to render and insert fake security warnings in the network in this type of attack. The proper security messages can be withheld from legitimate users, and network security can be seriously affected [17]. This kind of assault is usually probable for a legal node.…”

Section: Location Privacy Attack Methods and Prevention For Iot In Vanetmentioning

confidence: 99%

“…The RSUs are installed in the VANET: RSUs are positioned along the road and serve as radios for DSRC communications. The main functions of RSUs are as follows: (i) to expand the communication range of VANETs by transferring messages to other OBUs and RSUs, (ii) enable running protection applications, such as reporting traffic conditions or accident warnings, and (iii) provide OBUs with Internet access [3,17].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Ahmed

Deng

Memon

et al. 2022

Wireless Communications and Mobile Computing

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Vehicular ad hoc networks (VANETs) connect two or more vehicles wirelessly to enable data exchange in an Internet of Things (IoT) environment. In VANETs, location privacy is the most crucial piece of information, and its protection is the top priority. However, the location privacy threats have not been adequately addressed in positioning for IoT in VANETs. This paper provides an overview of location privacy attacks and their solutions to address the problems caused by attacks in any IoT environment. Secondly, we have analyzed specific solutions based on anonymity (pseudonym) and cryptographic solutions using a digital signature technique. This enables to improve user privacy and security of location-based services for IoT in VANET. Moreover, we have proposed a faster 5G solution for the VANETs as it rapidly disseminates the data in fast-moving vehicles.

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Section: Location Privacy Attack Methods and Prevention For Iot In Vanetmentioning

confidence: 99%

Section: Location Privacy Attack Methods and Prevention For Iot In Vanetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Ahmed

Deng

Memon

et al. 2022

Wireless Communications and Mobile Computing

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“…For example, Sensor Attack [217] occurs when an attacker attempts to disable the GPS by hacking the sensor installed on the car. An attack on VANET [218] is done when a hacker employs brute force to get access to a vehicle's confidential data (i.e., passwords or keys). The V2X attack [219] is held when the attacker attack any gadget (i.e., smartphone) through which a vehicle communicates to an external network by WiFi, Global System for Mobile or Bluetooth.…”

Section: Data Privacy Threats In Acsmentioning

confidence: 99%

Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective

Azam

Michala

Ansari

et al. 2023

IEEE Trans. Big Data

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Intelligence-based applications have been increasingly deployed in every field of life including smart homes, smart cities, healthcare services, and autonomous systems where personal data is collected across heterogeneous sources and processed using "black-box" algorithms in opaque centralised servers. As a consequence, preserving the data privacy and security of these applications is of utmost importance. In this respect, a modelling technique for identifying potential data privacy threats and specifying countermeasures to mitigate the related vulnerabilities in such AI-based systems plays a significant role in preserving and securing personal data. Various threat modelling techniques have been proposed such as STRIDE, LINDDUN, and PASTA but none of them is sufficient to model the data privacy threats in autonomous systems. Furthermore, they are not designed to model compliance with data protection legislation like the EU/UK General Data Protection Regulation (GDPR), which is fundamental to protecting data owners' privacy as well as to preventing personal data from potential privacy-related attacks. In this article, we survey the existing threat modelling techniques for data privacy threats in autonomous systems and then analyse such techniques from the viewpoint of GDPR compliance. Following the analysis, We employ STRIDE and LINDDUN in autonomous cars, a specific use-case of autonomous systems, to scrutinise the challenges and gaps of the existing techniques when modelling data privacy threats. Prospective research directions for refining data privacy threats & GDPR-compliance modelling techniques for autonomous systems are also presented.

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“…operates in a similar way as DoS attacks. However, in this attack, multiple entities or mediums are used to target the legitimate node or network operations [18]. • Sybil attack: Sybil attacks are used in peer-to-peer networks when a single hostile attacker has control over several nodes.…”

Section: • Distributed Denial Of Service Attack (Ddos): a Distributed...mentioning

confidence: 99%

Routing Protocols and Security Issues in Vehicular Ad hoc Networks: A Review

Khanpara

Bhojak

2022

J. Phys.: Conf. Ser.

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Vehicular Ad hoc Networks, also known as VANETs, are temporary wireless networks consisting of different types of automobiles as network nodes and the connections among these vehicles as links. VANET is a booming technology that has become quite popular in research, academia, and industry domains. A VANET can be considered as a moving network in which the nodes are automobiles. As VANETs are basically ad hoc networks, they have all the fundamental characteristics of ad hoc networks including computational and storage constraints. A network of VANETs can also be formed to enhance the safety and other services for vehicle drivers. VANETs are proven to be efficient in many real-life scenarios including traffic control and driver assistance. Information communicated through VANETs can definitely help to improve the user driving experience and avoid collisions. This paper discusses various deployment scenarios for VANETs along with the communication requirements and security concerns.

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A Comprehensive Study of Security Attack on VANET

Cited by 7 publications

References 51 publications

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

A Survey on Location Privacy Attacks and Prevention Deployed with IoT in Vehicular Networks

Data Privacy Threat Modelling for Autonomous Systems: A Survey From the GDPR's Perspective

Routing Protocols and Security Issues in Vehicular Ad hoc Networks: A Review

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