A Traceable Concurrent Data Anonymous Transmission Scheme for Heterogeneous VANETs

Liu, Jingwei; Hu, Qin; Li, Chaoya; Sun, Rong; Du, Xiaojiang; Guizani, Mohsen

doi:10.1109/glocom.2018.8647327

Cited by 5 publications

(3 citation statements)

References 26 publications

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“…[ 55 ] A Traceable Blockchain-Based Access Authentication System With Privacy Preservation in VANETs 2019 Journal PS09 Liu et al. [ 56 ] A Traceable Concurrent Data Anonymous Transmission Scheme for Heterogeneous VANETs 2018 Conference PS10 Mirsadeghi et al. [ 57 ] A trust infrastructure based authentication method for clustered vehicular ad hoc networks 2021 Journal PS11 Jagriti et al.…”

Section: Table A1mentioning

confidence: 99%

Security in V2I Communications: A Systematic Literature Review

Marcillo

Tamayo-Urgilés

Caraguay

et al. 2022

Sensors

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Recently, the number of vehicles equipped with wireless connections has increased considerably. The impact of that growth in areas such as telecommunications, infotainment, and automatic driving is enormous. More and more drivers want to be part of a vehicular network, despite the implications or risks that, for instance, the openness of wireless communications, its dynamic topology, and its considerable size may bring. Undoubtedly, this trend is because of the benefits the vehicular network can offer. Generally, a vehicular network has two modes of communication (V2I and V2V). The advantage of V2I over V2V is roadside units’ high computational and transmission power, which assures the functioning of early warning and driving guidance services. This paper aims to discover the principal vulnerabilities and challenges in V2I communications, the tools and methods to mitigate those vulnerabilities, the evaluation metrics to measure the effectiveness of those tools and methods, and based on those metrics, the methods or tools that provide the best results. Researchers have identified the non-resistance to attacks, the regular updating and exposure of keys, and the high dependence on certification authorities as main vulnerabilities. Thus, the authors found schemes resistant to attacks, authentication schemes, privacy protection models, and intrusion detection and prevention systems. Of the solutions for providing security analyzed in this review, the authors determined that most of them use metrics such as computational cost and communication overhead to measure their performance. Additionally, they determined that the solutions that use emerging technologies such as fog/edge/cloud computing present better results than the rest. Finally, they established that the principal challenge in V2I communication is to protect and dispose of a safe and reliable communication channel to avoid adversaries taking control of the medium.

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Section: Table A1mentioning

confidence: 99%

Security in V2I Communications: A Systematic Literature Review

Marcillo

Tamayo-Urgilés

Caraguay

et al. 2022

Sensors

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“…Our attack model is similar to that of the CP-ABE introduced by Zhou and Huang (2010), based on a semantic security game [ 25 ]. The game engages in message transmission and reception between probabilistic polynomial time adversaries (PPT attacker) and a challenger; the probability that the attacker can finally compromise the safety of the CP-ABE technique is the game.…”

Section: Related Workmentioning

confidence: 99%

“…The algorithm is termed a semantic security algorithm if the attacker receives a negligible benefit in the above game within a polynomial time t [ 25 , 26 , 27 ].…”

Section: Related Workmentioning

confidence: 99%

A Study on CP-ABE-Based Medical Data Sharing System with Key Abuse Prevention and Verifiable Outsourcing in the IoMT Environment

Hwang¹,

Lee²

2020

Sensors

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Recent developments in cloud computing allow data to be securely shared between users. This can be used to improve the quality of life of patients and medical staff in the Internet of Medical Things (IoMT) environment. However, in the IoMT cloud environment, there are various security threats to the patient’s medical data. As a result, security features such as encryption of collected data and access control by legitimate users are essential. Many studies have been conducted on access control techniques using ciphertext-policy attribute-based encryption (CP-ABE), a form of attribute-based encryption, among various security technologies and studies are underway to apply them to the medical field. However, several problems persist. First, as the secret key does not identify the user, the user may maliciously distribute the secret key and such users cannot be tracked. Second, Attribute-Based Encryption (ABE) increases the size of the ciphertext depending on the number of attributes specified. This wastes cloud storage, and computational times are high when users decrypt. Such users must employ outsourcing servers. Third, a verification process is needed to prove that the results computed on the outsourcing server are properly computed. This paper focuses on the IoMT environment for a study of a CP-ABE-based medical data sharing system with key abuse prevention and verifiable outsourcing in a cloud environment. The proposed scheme can protect the privacy of user data stored in a cloud environment in the IoMT field, and if there is a problem with the secret key delegated by the user, it can trace a user who first delegated the key. This can prevent the key abuse problem. In addition, this scheme reduces the user’s burden when decoding ciphertext and calculates accurate results through a server that supports constant-sized ciphertext output and verifiable outsourcing technology. The goal of this paper is to propose a system that enables patients and medical staff to share medical data safely and efficiently in an IoMT environment.

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