A Review on Blockchain-Based Systems and Applications

Zhang, Jingyu; Zhong, Siqi; Wang, Jin; Wang, Lei; Yang, Yaqiong; Wei, Boyang; Zhou, Guoyao

doi:10.1007/978-3-030-38651-1_20

Cited by 90 publications

(102 citation statements)

References 46 publications

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“…Blockchain techniques can fully assist 5G's authentication security, communication security, and network coding security as well as establishing new economic benefits for 5G operators and providers [45]. We explain those points in detail in this section.…”

Section: A Blockchain For 5g Networkmentioning

confidence: 99%

Block5GIntell: Blockchain for AI-Enabled 5G Networks

et al. 2020

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Nowadays, 5G network is considered to be one of the main pillars of various industries, including the Internet of Things (IoT), smart cities, virtual reality, and many more. Unlike previous network generations, 5G utilizes complex digital technologies such as massive Multiple Input Multiple Output (mMIMO) and runs over higher radio frequencies. The introduction of new technologies and advanced features in the 5G network raises new challenges for network operators, and merging Artificial Intelligence (AI) is one of the effective solutions to address these complexities. However, AI-enabled 5G network engenders security concerns and requires improvement to meet the standardization and qualification of the new network generation. To mitigate these dilemmas, Blockchain must be integrated. Blockchain, as a decentralized methodology provides a secure sharing of information and resources among various nodes of 5G environments. Blockchain can support other technologies, such as AI-based 5G, to create smarter, more efficient, and secure cellular networks. In this paper, we present a comprehensive intelligence and secure data analytics framework for 5G networks based on the convergence of Blockchain and AI named "Block5GIntell". We depict the applications of Blockchain and AI on 5G networks separately and we argue on the support that Blockchain can provide for AI to create smart and secure 5G networks relying on our proposed framework. To support our proposition, we present an energy-saving case study using Blockchain for AI-enabled 5G. The simulation shows an overall 20% decrease in energy consumption at the RAN level.

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Section: A Blockchain For 5g Networkmentioning

confidence: 99%

Block5GIntell: Blockchain for AI-Enabled 5G Networks

et al. 2020

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“…A blockchain is a type of database that stores data in block units and links blocks to each other in chronological order [5,[10][11][12][13]. Each block depends on the previous block and all participants share a ledger.…”

Section: Blockchainmentioning

confidence: 99%

“…In this paper, we propose a dashcam video sharing scheme that guarantees the integrity and confidentiality of videos to be shared. In addition, it improves the location privacy of the video provider by utilizing the anonymity of a smart contract [5] in a blockchain as shown in Fig. 1.…”

mentioning

confidence: 99%

Automatic, location-privacy preserving dashcam video sharing using blockchain and deep learning

Kim

Jung

2020

Hum. Cent. Comput. Inf. Sci.

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A dashcam is a device that records events around a vehicle [1]. According to Embrain Trend Monitor research that surveys the satisfaction of dashcam users [2], the number of people who feel the need for a dashcam in their car has been steadily increasing. Because a dashcam records the event history of a vehicle, its videos can be used as evidence in disputes arising from accidents, both involving and observed by the dashcam owner. If a dashcam acquires video of accidents involving nearby vehicles, that video can be used as a record of the accident. In South Korea, public institutions often make announcements to look for witnesses of accidents and wait for a report. People share videos for various reasons [1], such as publicizing the truth, solving unfair cases, helping others, and benefitting the public. However, Kim et al. pointed out that waiting for a report and uploading a shared video via the web can reveal personal information such as location information or a fabricated Abstract Today, many people use dashcams, and videos recorded on dashcams are often used as evidence of accident fault. People can upload videos of dashcam recordings with specific accident clips and share the videos with others who request them, by providing the time or location of an accident. However, dashcam videos are erased when the dashcam memory is full, so periodic backup is necessary for video sharing. It is inconvenient for dashcam owners to search for and transmit a requested video clip from backup videos. In addition, anonymity is not ensured, which may reduce location privacy by exposing the video owner's location. To solve this problem, we propose a video sharing scheme with accident detection using deep learning coupled with automatic transfer to the cloud; we also propose ensuring data and operational integrity along with location privacy by using blockchain smart contracts. Furthermore, our proposed system uses proxy re-encryption to enhance the confidentiality of a shared video. Our experiments show that our proposed automatic video sharing system is cost-effective enough to be acceptable for deployment.

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“…Recently, the combination of two emerging technologies, i.e., Software-Defined Networking (SDN) and Network Virtualization (NV), has received significant interest from the industrial and the academic communities [18][19][20][21], as a possible approach to successfully face the previously discussed challenges.…”

Section: Introductionmentioning

confidence: 99%

Priority-Based Bandwidth Management in Virtualized Software-Defined Networks

2020

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In Industrial Internet of Things (IoT) applications, when the network size increases and different types of flows share the bandwidth, the demand for flexible and efficient management of the communication network is compelling. In these scenarios, under varying workload and flow priorities, the combined use of Software-Defined Networking (SDN) and Network Virtualization (NV) is a promising solution, as such techniques allow to reduce the network management complexity. This work presents the PrioSDN Resource Manager (PrioSDN_RM), a resource management mechanism based on admission control for virtualized SDN-based networks. The proposed combination imposes bounds on the resource utilization for the virtual slices, which therefore share the network links, while maintaining isolation from each other. The presented approach exploits a priority-based runtime bandwidth distribution mechanism to dynamically react to load changes (e.g., due to alarms). The paper describes the design of the approach and provides experimental results obtained on a real testbed.

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A Review on Blockchain-Based Systems and Applications

Cited by 90 publications

References 46 publications

Block5GIntell: Blockchain for AI-Enabled 5G Networks

Block5GIntell: Blockchain for AI-Enabled 5G Networks

Automatic, location-privacy preserving dashcam video sharing using blockchain and deep learning

Priority-Based Bandwidth Management in Virtualized Software-Defined Networks

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