Edge Computing-Based Privacy-Preserving Authentication Framework and Protocol for 5G-Enabled Vehicular Networks

Zhang, Jing; Zhong, Hong; Tian, Miaomiao; Xu, Yan; Liu, Lu

doi:10.1109/tvt.2020.2994144

Cited by 74 publications

(80 citation statements)

References 44 publications

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“…Zhang et al [51] have proposed an authentication scheme by employing 5G technology and edge computing. At first an edge computing vehicle is authenticated and selected using fuzzy logic rule.…”

Section: A 5g Network and 5g-sdn For Vanetmentioning

confidence: 99%

A Comprehensive Review of Authentication Schemes in Vehicular Ad-Hoc Network

Azam

Yadav²,

Priyadarshi

et al. 2021

IEEE Access

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Vehicular ad-hoc network (VANET) has been gaining importance due to the fast growing technology as well as its requirements in intelligent transportation systems (ITS) and vehicular social network (VSN). VANET facilitates vehicle to vehicle (V2V) and vehicle to infrastructure (V2I) communication and improves the ride quality with value added services. The number of connected vehicles is expected to grow to a huge number with enormous exchange of safety and non-safety messages which are susceptible to security and privacy threat. To ensure secured communication, VANET must implement an authentication protocol to resist the attack and preserve the privacy. In this paper, a detailed discussion on the taxonomy for authentication schemes in VANET has been presented. The authentication schemes have been compared with security, privacy and scalability requirement. The use of recent technologies such as 5G, 5G-SDN, and Blockchain to design authentication schemes with low cost, and low communication, computational overhead has been discussed. Finally, the paper concludes with open challenges in VANET authentication. This paper is expected to open new avenues for researchers working in the domain of VANETs.

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Section: A 5g Network and 5g-sdn For Vanetmentioning

confidence: 99%

A Comprehensive Review of Authentication Schemes in Vehicular Ad-Hoc Network

Azam

Yadav²,

Priyadarshi

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…For the low frequency part of the signal (subband 1), because the energy change is not obvious, the detection function is defined by using the change of the spectral coefficient [11]:…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Research on Music Multiterminal Audio Authentication Based on Wireless Network

2021

Wireless Communications and Mobile Computing

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The current music multiterminal audio authentication algorithm does not consider the mutation of music signal, which leads to poor tamper detection ability and long time of audio authentication. By analyzing the characteristics and key technologies of wireless network, a wireless multiterminal audio system is established. The short-term energy calculation method is used to consider the sudden change of music signal. The music signal is divided into note segments, and chroma features of half order notes are extracted. The robust hash value is calculated by nonuniform quantization method. The dynamic time warping algorithm is used to align the notes, and the Hamming distance between the hash values of each two corresponding notes is calculated to obtain the measurement values of error series, statistical characteristics, and time distribution characteristics. According to the measurement value, the fuzzy classification method is applied to calculate the membership degree of the signals belonging to two different types of operation, and the authentication confidence degree is obtained. The tampered area of the music signal that has not passed the authentication is detected, and the music multiterminal audio authentication is realized. Experimental results show that the proposed algorithm has good tamper detection ability and can effectively shorten the audio authentication time.

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“…e specific methods of privacy preserving are not the focus of this paper. Please refer to [18][19][20][21] for details. Because propagation speed of message is much faster than moving speed of vehicle, it ignores the time it takes to propagate messages from a vehicle to other vehicles.…”

Section: Network Model and Data Propagation Modelmentioning

confidence: 99%

Research on Manhattan Distance Based Trust Management in Vehicular Ad Hoc Network

Zhang

Hou

et al. 2021

Security and Communication Networks

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In recent years, Vehicular Ad Hoc Network (VANET) has developed significantly. Coordination between vehicles can enhance driving safety and improve traffic efficiency. Due to the high dynamic characteristic of VANET, security has become one of the challenging problems. Trust of the message is a key element of security in VANET. This paper proposes a Manhattan Distance Based Trust Management model (MDBTM) in VANET environment which solves the problem in existing trust management research that considers the distance between the sending vehicle and event location. In this model, the Manhattan distance and the number of building obstacles are calculated by considering the movement relationship between the sending vehicle and event location. The Dijkstra algorithm is used to predict the path with the maximum probability, when the vehicle is driving toward the event location. The message scores are then calculated based on the Manhattan distance and the number of building obstacles. Finally, the scores are fused to determine whether to trust the message. The experimental results show that the proposed method has better performance than similar methods in terms of correct decision probability under different proportions of malicious vehicles, different numbers of vehicles, and different reference ranges.

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Edge Computing-Based Privacy-Preserving Authentication Framework and Protocol for 5G-Enabled Vehicular Networks

Cited by 74 publications

References 44 publications

A Comprehensive Review of Authentication Schemes in Vehicular Ad-Hoc Network

A Comprehensive Review of Authentication Schemes in Vehicular Ad-Hoc Network

Research on Music Multiterminal Audio Authentication Based on Wireless Network

Research on Manhattan Distance Based Trust Management in Vehicular Ad Hoc Network

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