On the Design of Mutual Authentication and Key Agreement Protocol in Internet of Vehicles-Enabled Intelligent Transportation System

Bagga, Palak; Das, Ashok Kumar; Wazid, Mohammad; Rodrigues, Joel J. P. C.; Choo, Kim‐Kwang Raymond; Park, Young-Ho

doi:10.1109/tvt.2021.3050614

Cited by 98 publications

(31 citation statements)

References 41 publications

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“…The best solution to save the data from the attacker is to encrypt the data before exchanging it. Another measure to have seamless secure network is to apply an authentication protocol always before allowing any device to enter the network [ 86 ]. IoT network is an expanding network as everyday new IoT devices are connected in the network.…”

Section: Security Challenges Attacks Countermeasures and Requirements...mentioning

confidence: 99%

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Blockchain-envisioned access control for internet of things applications: a comprehensive survey and future directions

et al. 2022

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Section: Security Challenges Attacks Countermeasures and Requirements...mentioning

confidence: 99%

“…Another measure to have seamless secure network is to apply an authentication protocol always before allowing any device to enter the network [ 86 ].…”

Section: Security Challenges Attacks Countermeasures and Requirements...mentioning

confidence: 99%

Blockchain-envisioned access control for internet of things applications: a comprehensive survey and future directions

et al. 2022

Self Cite

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“…In equation ( 15), Q is the user requesting authentication, j is the dimension, and j ∈ [1,160] and f i are the face feature vectors of registered users.…”

Section: Q[j]mentioning

confidence: 99%

“…e network communication load and storage space of the traditional cloud computing intelligent system are impacted. With the improvement of the real-time requirements of the network, the edge computing arises at the historic moment [1]. Relevant research shows that as of October 30, 2020, 50% of multimedia data have been preprocessed, forwarded, stored, and other operations through the Internet edge [2,3].…”

Section: Introductionmentioning

confidence: 99%

Security Analysis of Intelligent System Based on Edge Computing

Han

Zhang²,

Zhang

2021

Security and Communication Networks

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At present, artificial intelligence technology is widely used in society, and various intelligent systems emerge as the times require. Due to the uniqueness of biometrics, most intelligent systems use biometric-based recognition technology, among which face recognition is the most widely used. To improve the security of intelligent system, this paper proposes a face authentication system based on edge computing and innovatively extracts the features of face image by convolution neural network, verifies the face by cosine similarity, and introduces a user privacy protection scheme based on secure nearest neighbor algorithm and secret sharing homomorphism technology. The results show that when the threshold is 0.51, the correct rate of face verification reaches 92.46%, which is far higher than the recognition strength of human eyes. In face recognition time consumption and recognition accuracy, the encryption scheme is basically consistent with the recognition time consumption in plaintext state. It can be seen that the security of the intelligent system with this scheme can be significantly improved. This research provides a certain reference value for the research on the ways to improve the security of intelligent system.

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“…It mainly includes inside and outside vehicle communication [5,6]. The latter includes the communication between the vehicle and its surrounding environment, such as vehicle-to-vehicle (V2V), vehicle-toinfrastructure (V2I), infrastructure-to-vehicle (I2V), vehicleto-cloud, vehicle-to-pedestrians, and vehicles-to-grid [7,8]. IEEE 802.11p standard defines dedicated short-range communication (DSRC) which is one of the most promising wireless standards to support ITS [9,10].…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis and Node Selection of Intelligent Reflecting Surface-Aided Visible Light Communication for Parallel Vehicles

Zhan

Zhao

Zhang

et al. 2022

Wireless Communications and Mobile Computing

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In the visible light communication (VLC) for parallel vehicles, the light emitted by the headlamps cannot reach the photodiode (PD), which is the receiver installed on another vehicle. To solve this problem, the mirror array-based intelligent reflecting surface- (IRS-) aided VLC system is designed for parallel vehicles, and the system performance with different number of mirrors and transmission distance is analyzed. The maximum distance between adjacent IRSs is calculated via the exhaustive method, and the nearest neighbor iterative search (NNIS) algorithm is proposed for IRS node selection. Numerical results show that the SNR increases with the number of mirrors increasing. If the number of mirrors is 6 × 6 in the IRS, the maximum distance between adjacent IRSs is 37 meters. When the interval between adjacent IRSs is 32 meters, the required BER can be satisfied with merely three IRSs working together according to the NNIS algorithm.

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On the Design of Mutual Authentication and Key Agreement Protocol in Internet of Vehicles-Enabled Intelligent Transportation System

Cited by 98 publications

References 41 publications

Blockchain-envisioned access control for internet of things applications: a comprehensive survey and future directions

Blockchain-envisioned access control for internet of things applications: a comprehensive survey and future directions

Security Analysis of Intelligent System Based on Edge Computing

Performance Analysis and Node Selection of Intelligent Reflecting Surface-Aided Visible Light Communication for Parallel Vehicles

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