PBA: Prediction-Based Authentication for Vehicle-to-Vehicle Communications

Lyu, Chen; Gu, Dawu; Zeng, Yunze; Mohapatra, Prasant

doi:10.1109/tdsc.2015.2399297

Cited by 81 publications

(62 citation statements)

References 25 publications

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“…The protocol [66] uses this idea based on the Strong Diffie-Hellman assumption and the Decision Linear assumption. The protocol [67] uses three countermeasures, namely, 1) Merkle Hash Tree (MHT) [180], 2) TESLA scheme [181,182,183], and 3) Elliptic Curve Digital Signature Algorithm (ECDSA) [184]. The MHT is a binary tree structure where each leaf is assigned a hash value and an inner node is assigned the hash value of its children.…”

Section: Time-domain Transformationmentioning

confidence: 99%

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

229

131

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In this paper, a comprehensive survey of authentication protocols for Internet of Things (IoT) is presented. Specifically more than forty authentication protocols developed for or applied in the context of the IoT are selected and examined in detail. These protocols are categorized based on the target environment: (1) Machine to Machine Communications (M2M), (2) Internet of Vehicles (IoV), (3) Internet of Energy (IoE), and (4) Internet of Sensors (IoS). Threat models, countermeasures, and formal security verification techniques used in authentication protocols for the IoT are presented. In addition a taxonomy and comparison of authentication protocols that are developed for the IoT in terms of network model, specific security goals, main processes, computation complexity, and communication overhead are provided. Based on the current survey, open issues are identified and future research directions are proposed.

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Section: Time-domain Transformationmentioning

confidence: 99%

Authentication Protocols for Internet of Things: A Comprehensive Survey

Ferrag

Μαγλαράς

Janicke

et al. 2017

Security and Communication Networks

229

131

View full text Add to dashboard Cite

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“…However, it is still critical to validate new PCs and the corresponding beacons in high node density environment or under DoS attacks in a timely manner. Prediction of the next beacon content (e.g., vehicle location) can help validating beacons based on the prediction result included in a previous beacon [14,15]. However, such an approach cannot tolerate packet losses: once a beacon is lost, the following beacon can only be verified based on its signature.…”

Section: Background and Related Workmentioning

confidence: 99%

“…Each node broadcasts safety beacons at a rate γ. In this paper, we assume γ = 10 Hz, a typical value in the literature [23,15,14]. Thus, a PC can be used for authenticating at most L T ESLA = τ · γ beacons.…”

Section: Tesla Key Chain Generationmentioning

confidence: 99%

DoS-resilient cooperative beacon verification for vehicular communication systems

Jin

Papadimitratos

2019

Ad Hoc Networks

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Authenticated safety beacons in Vehicular Communication (VC) systems ensure awareness among neighboring vehicles. However, the verification of beacon signatures introduces significant processing overhead for resource-constrained vehicular On-Board Units (OBUs). Even worse in dense neighborhood or when a clogging Denial of Service (DoS) attack is mounted. The OBU would fail to verify for all received (authentic or fictitious) beacons. This could significantly delay the verifications of authentic beacons or even affect the awareness of neighboring vehicle status. In this paper, we propose an efficient cooperative beacon verification scheme leveraging efficient symmetric key based authentication on top of pseudonymous authentication (based on traditional public key cryptography), providing efficient discovery of authentic beacons among a pool of received authentic and fictitious beacons, and can significantly decrease waiting times of beacons in queue before their validations. We show with simulation results that our scheme can guarantee low waiting times for received beacons even in high neighbor density situations and under DoS attacks, under which a traditional scheme would not be workable.

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“…Considering that VANET has greater mobility and higher packet loss rate, it needs special technical standards, such as IEEE 802.11 and IEEE 1609 for VANETs. 23,[25][26][27][28][29][30][31][32][33] In this paper, a lightweight V2I authentication protocol (LVAP) is proposed between the OBU and RSUs. Usually, the authentication protocols in VANETs should at least satisfy the requirements including the efficiency and the confidentiality.…”

Section: Introductionmentioning

confidence: 99%

“…In addition, there are various schemes that have been proposed using asymmetric or symmetric cryptography. 23,[25][26][27][28][29][30][31][32][33] In this paper, a lightweight V2I authentication protocol (LVAP) is proposed between the OBU and RSUs. Specifically, the trusted authority (TA) predicts the RSUs that the OBU will pass by and then distributes the group key among these RSUs and OBU.…”

Section: Introductionmentioning

confidence: 99%

LVAP: Lightweight V2I authentication protocol using group communication in VANETs

Liu

Guo

Zhong

et al. 2017

Int J Communication

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The authentication protocol is vital for the security of the wireless sensor network to resist the known threats, such as eavesdropping, replay attack, man-in-the-middle attack, etc. In this paper, a lightweight authentication protocol for vehicular ad hoc networks is proposed using the symmetric encryption, the group communication method, and the proactive authentication technique, which not only achieves the desired security goals but also guarantees the practical anonymity and the accountability. The analysis demonstrates that the proposed protocol works properly in the high-density and the low-density traffic environment.

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PBA: Prediction-Based Authentication for Vehicle-to-Vehicle Communications

Cited by 81 publications

References 25 publications

Authentication Protocols for Internet of Things: A Comprehensive Survey

Authentication Protocols for Internet of Things: A Comprehensive Survey

DoS-resilient cooperative beacon verification for vehicular communication systems

LVAP: Lightweight V2I authentication protocol using group communication in VANETs

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