EAAP: Efficient Anonymous Authentication With Conditional Privacy-Preserving Scheme for Vehicular Ad Hoc Networks

Azees, Maria; Vijayakumar, Pandi; Deboarh, Lazarus Jegatha

doi:10.1109/tits.2016.2634623

Cited by 400 publications

(285 citation statements)

References 30 publications

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“…It realized anonymity, traceability and solved the problem of message linkability simultaneously via increasing the complexity of the decentralized group. Azees et al [22] proposed an efficient anonymous authentication scheme with an efficient tracing method. However, without incentives, it still suffers from the enthusiasm issue while forwarding messages.…”

Section: A Threshold Authenticationmentioning

confidence: 99%

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

Liu

Cheng

et al. 2018

IEEE Trans. Intell. Transport. Syst.

491

225

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Section: A Threshold Authenticationmentioning

confidence: 99%

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

Liu

Cheng

et al. 2018

IEEE Trans. Intell. Transport. Syst.

491

225

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“…Through the above analysis and proof, we conclude that this scheme can resist a series of attacks. In addition to analyzing this scheme, we also compared several other schemes using similar operations, including TAA scheme, SPRING scheme, ECPB scheme, and EAAP scheme …”

Section: Security Proof and Analysismentioning

confidence: 99%

An improved EAAP scheme for vehicular ad hoc networks

Yuan

Liu

et al. 2020

Int J Communication

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Summary Recently, Maria Azees et al proposed an “EAAP: efficient anonymous authentication with conditional privacy‐preserving scheme for Vehicular Ad Hoc Networks.” Their scheme is mainly to solve the problem of high computation time of anonymous certificate and signature authentication, as well as the tracking problem of malicious vehicles. However, some improvements are needed in the protection of anonymous identity and the effective tracking of malicious vehicles. In this paper, our scheme realizes mutual authentication between OBU and RSU, and the RSU is authenticated without using certificate. In order to prevent the anonymous identity of the vehicles from being monitored and tracked, we use the negotiated short‐time key to encrypt the anonymous identity in the vehicle certificates. In addition, our scheme uses a new tracking method for malicious vehicles. Then, we prove the scheme through BAN logic, and it has the properties of authentication, anonymity, unlinkability, privacy protection, and traceability. Finally, we compare the computation cost and communication cost with other schemes, and the scheme has been greatly improved.

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“…Therefore, it is more important to protect the vehicle owner's privacy. However, for privacy to provide anonymous authentication with low computational cost is a challenging task [52]. Therefore, in VANETs, a set of names are assigned to vehicles called pseudonyms.…”

Section: Secure Communication In Vanetmentioning

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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EAAP: Efficient Anonymous Authentication With Conditional Privacy-Preserving Scheme for Vehicular Ad Hoc Networks

Cited by 400 publications

References 30 publications

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

CreditCoin: A Privacy-Preserving Blockchain-Based Incentive Announcement Network for Communications of Smart Vehicles

An improved EAAP scheme for vehicular ad hoc networks

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

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