VANET alert endorsement using multi-source filters

Kim, Tiffany Hyun-Jin; Studer, Ahren; Dubey, Rituik; Zhang, Xin; Perrig, Adrian; Bai, Fan; Bellur, Bhargav; Iyer, Aravind

doi:10.1145/1860058.1860067

Cited by 50 publications

(30 citation statements)

References 9 publications

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“…However, this scheme creates more computation and delay due to six sources for false PCN or congestion event detection. In some scenarios, a threshold may not be crossed due to VANETs' characteristics only to analyse or to endorse the EEBL applications, and no further applications has been tested or evaluated [67].…”

Section: Consistency-based Detectionmentioning

confidence: 99%

A survey of local/cooperative-based malicious information detection techniques in VANETs

Arshad

Ullah

Ahmad

et al. 2018

J Wireless Com Network

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Vehicular ad hoc networks (VANETs) are emerged technology where vehicles and roadside units (RSUs) communicate with each other. VANETs can be categorized as a subbranch of mobile ad hoc networks (MANETs). VANETs help to improve traffic efficiency and safety and provide infotainment facility as well. The dissemination of messages must be relayed through nodes in VANETs. However, it is possible that a node may propagate false information in a network due to its malicious behaviour or selfishness. False information in VANETs can change drivers' behaviour and create disastrous consequences in the network. Therefore, sometimes false safety messages may endanger human life. To avoid any lass, it is more important to detect and avoid false messages. This paper has explained some important algorithms that can detect false messages in VANETs. The categorization of false message detection schemes based on local and cooperative behaviour has been presented in this article. The limitations and consequences of existing schemes as well as future work has been discussed. Keywords: VANETs, MANETs, Misbehaviour, False message detection, Security ReviewThis article analyses Single/local and Cooperative based malicious information detection techniques in VANETs. Single/local based detection schemes are further comprised of plausibility, consistency and single node behavior. However, these techniques performances are not upto the mark, because of single node reliance. The cooperative based detection techniques are more efficient than Single/local based detection schemes. The prerequisites for these scheme need more nodes, unlike Single/local based detection schemes. These techniques are classified based on consistency and behavior with neighbors. Trust-based detection techniques are analysed on previous communication history. However, these scheme needs a honest and sufficient number of nodes for reliable result.

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Section: Consistency-based Detectionmentioning

confidence: 99%

A survey of local/cooperative-based malicious information detection techniques in VANETs

Arshad

Ullah

Ahmad

et al. 2018

J Wireless Com Network

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show abstract

“…Furthermore, in the case where the adversary is a trusted insider such as a compromised vehicle with a valid certificate, the problem is much harder to solve. Typical approaches to handling this issue is via misbehavior/anomaly detection techniques such as [7] which require multiple sources of data which may not always be available. In addition, such techniques do not guarantee perfect detection in all circumstances and are usually associated with finite false negative and false positive rates.…”

Section: A Application Layer Attacksmentioning

confidence: 99%

Security vulnerabilities of connected vehicle streams and their impact on cooperative driving

et al. 2015

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Abstract-Autonomous vehicle capable of navigating unpredictable real-world environments with little human feedback are a reality today. Such systems rely heavily on on-board sensors such as cameras, radar/LIDAR, and GPS as well as capabilities such as 3G/4G connectivity and V2V/V2I communication to make real time maneuvering decisions. Autonomous vehicle control imposes very strict requirements on the security of the communication channels used by the vehicle to exchange information as well as the control logic that performs complex driving tasks, e.g., adapting vehicle velocity, or changing lanes. This study presents a first look at the effects of security attacks on the communication channel as well as sensor tampering of a connected vehicle stream equipped to achieve Cooperative Adaptive Cruise Control (CACC). Our simulation results show that an insider attack can cause significant instability in the CACC vehicle stream. We also illustrate how different countermeasures, such as downgrading to ACC mode, could potentially be used to improve security and safety of the connected vehicle streams.

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“…In [8], Tiffany Hyun-Jin, et al proposed a model to distinguish spurious messages from legitimate messages. They explore six different sources of information to enable vehicles to filter malicious messages that are transmitted by a minority of disobedient vehicles.…”

Section: B Proposed Solutionsmentioning

confidence: 99%

An Adaptive Key Exchange Procedure for VANET

Toulni¹,

Boudhane²,

Nsiri³

et al. 2016

ijacsa

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Abstract-VANET is a promising technology for intelligent transport systems (ITS). It offers new opportunities aiming at improving the circulation of vehicles on the roads and improving road safety. However, vehicles are interconnected by wireless links and without using any infrastructure, which exposes the vehicular network to many attacks. This paper presents a new solution for the exchange of security keys to protect information exchanged between vehicles. In addition to securing the intervehicular communication, the proposed solution has considerably decreased the time for the exchange of keys, thus improving the performance of VANET.

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VANET alert endorsement using multi-source filters

Cited by 50 publications

References 9 publications

A survey of local/cooperative-based malicious information detection techniques in VANETs

A survey of local/cooperative-based malicious information detection techniques in VANETs

Security vulnerabilities of connected vehicle streams and their impact on cooperative driving

An Adaptive Key Exchange Procedure for VANET

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