Blockchain-Based Privacy-Aware Content Caching in Cognitive Internet of Vehicles

Qian, Yongxian; Jiang, Yingying; Hu, Long; Hossain, M. Shamim; Alrashoud, Mubarak; Al-Hammadi, Muneer

doi:10.1109/mnet.001.1900161

Cited by 53 publications

(34 citation statements)

References 15 publications

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“…In [ 107 ], a blockchain-based privacy-aware content distribution mechanism in vehicular environments was discussed by Qian et al The authors argued that the conventional way of distributing content upon requests faces some privacy issues as it reveals some information of requesters. To solve this problem, a content acquisition approach based on broadcast communications is discussed.…”

Section: Blockchain and The Vehicular Internet Of Thingsmentioning

confidence: 99%

“…The blockchain records each content transaction, and all the transactions are broadcast to all content providers for the purpose of authentication and audit. While [ 107 ] discusses the framework of the content distribution, some important issues still need to be further investigated. First, since the throughput of broadcast communications is much smaller than the unicast communications, the data distribution performance of the system can be reconsidered.…”

Section: Blockchain and The Vehicular Internet Of Thingsmentioning

confidence: 99%

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Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues

Peng

Gao

et al. 2020

Sensors

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The vehicular Internet of Things (IoT) comprises enabling technologies for a large number of important applications including collaborative autonomous driving and advanced transportation systems. Due to the mobility of vehicles, strict application requirements, and limited communication resources, the conventional centralized control fails to provide sufficient quality of service for connected vehicles, so a decentralized approach is required in the vicinity to satisfy the requirements of delay-sensitive and mission-critical applications. A decentralized system is also more resistant to the single point of failure problem and malicious attacks. Blockchain technology has been attracting great interest due to its capability of achieving a decentralized, transparent, and tamper-resistant system. There are many studies focusing on the use of blockchain in managing data and transactions in vehicular environments. However, the application of blockchain in vehicular environments also faces some technical challenges. In this paper, we first explain the fundamentals of blockchain and vehicular IoT. Then, we conduct a literature review on the existing research efforts of the blockchain for vehicular IoT by discussing the research problems and technical issues. After that, we point out some future research issues considering the characteristics of both blockchain and vehicular IoT.

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Section: Blockchain and The Vehicular Internet Of Thingsmentioning

confidence: 99%

Section: Blockchain and The Vehicular Internet Of Thingsmentioning

confidence: 99%

Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues

Peng

Gao

et al. 2020

Sensors

View full text Add to dashboard Cite

show abstract

“…At last, the third type of studies is devoted to the problem of entrusted interaction between a set of devices. An indicative example is the area of the connected vehicles [ 24 , 25 , 26 ]. Such papers are not numerous; however, this area has started to develop actively.…”

Section: Review Of Related Workmentioning

confidence: 99%

The Use of the Blockchain Technology and Digital Watermarking to Provide Data Authenticity on a Mining Enterprise

Evsutin

Meshcheryakov

2020

Sensors

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Prompt development of information technology has made an essential impact on many industries. There appeared a concept “Industry 4.0” symbolizing the fourth industrial revolution. The given concept is closely connected with such promising technologies as the Internet of Things, blockchain, fog computing, Big Data. In the present research, the sphere of the mining industry is examined. We discuss the possibility to increase the efficiency of mining enterprises at the expense of the development of common information space based on modern digital technologies. We analyze security problems at the level of data flow between the participants of the production process on a mining enterprise. We define the problem of providing the reliability of data on the production course on mining enterprise in the conditions of the possible connection loss between the control center and separate technological units. We offer a new approach to the solution of the given problems, based on the technology of blockchain and digital watermarking. The computing experiment is conducted presenting a possibility to implement the offered approaches on common models of microcontrollers.

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“…In the MEC environment, users are closer to edge servers, and the transmission delay caused by task offloading is greatly reduced. Moreover, service requesting can be responded at the edge, which can effectively relieve the burden on core networks [14]. In the past 2 years, due to MEC's close range, ultra-low latency, high bandwidth and other characteristics, the research on MEC has become increasingly fierce.…”

Section: Related Workmentioning

confidence: 99%

A collaborative scheduling strategy for IoV computing resources considering location privacy protection in mobile edge computing environment

2020

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This paper proposes a collaborative scheduling strategy for computing resources of the Internet of vehicles considering location privacy protection in the mobile edge computing environment. Firstly, a multi area multi-user multi MEC server system is designed, in which a MEC server is deployed in each area, and multiple vehicle user equipment in an area can offload computing tasks to MEC servers in different areas by a wireless channel. Then, considering the mobility of users in Internet of vehicles, a vehicle distance prediction based on Kalman filter is proposed to improve the accuracy of vehicle-to-vehicle distance. However, when the vehicle performs the task, it needs to submit the real location, which causes the problem of the location privacy disclosure of vehicle users. Finally, the total cost of communication delay, location privacy of vehicles and energy consumption of all users is formulated as the optimization goal, which take into account the system state, action strategy, reward and punishment function and other factors. Moreover, Double DQN algorithm is used to solve the optimal scheduling strategy for minimizing the total consumption cost of system. Simulation results show that proposed algorithm has the highest computing task completion rate and converges to about 80% after 8000 iterations, and its performance is more ideal compared with other algorithms in terms of system energy cost and task completion rate, which demonstrates the effectiveness of our proposed scheduling strategy.

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Blockchain-Based Privacy-Aware Content Caching in Cognitive Internet of Vehicles

Cited by 53 publications

References 15 publications

Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues

Blockchain for Vehicular Internet of Things: Recent Advances and Open Issues

The Use of the Blockchain Technology and Digital Watermarking to Provide Data Authenticity on a Mining Enterprise

A collaborative scheduling strategy for IoV computing resources considering location privacy protection in mobile edge computing environment

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