IoT Service Based on JointCloud Blockchain: The Case Study of Smart Traveling

Chen, Weili; Ma, Mingjie; Ye, Yongjian; Zheng, Zibin; Zhou, Yuren

doi:10.1109/sose.2018.00036

Cited by 41 publications

(23 citation statements)

References 28 publications

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“…Then, it calculates fees (line 28). Finally, it pays to previous investors while the balance is enough (line [29][30][31][32][33][34].…”

Section: B a Source Code Snippet Of A Smart Ponzi Schemementioning

confidence: 99%

“…The first type focuses on the underlying techniques, such as consensus mechanisms [22]- [24], performance improvement and evaluation [25], [26], and smart contract [27]. The second type discusses the application of blockchain technology, such as finance service [28], [29], Internet of Things (IoT) [10], [30], and smart traveling [31]. 4 https://etherscan.io/opcode-tool More information can be found in the survey [32].…”

Section: Related Workmentioning

confidence: 99%

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Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum

et al. 2019

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Blockchain technology becomes increasingly popular. It also attracts scams, for example, a Ponzi scheme, a classic fraud, has been found making a notable amount of money on Blockchain, which has a very negative impact. To help to deal with this issue and to provide reusable research data sets for future research, this paper collects real-world samples and proposes an approach to detect Ponzi schemes implemented as smart contracts (i.e., smart Ponzi schemes) on the blockchain. First, 200 smart Ponzi schemes are obtained by manually checking more than 3,000 open source smart contracts on the Ethereum platform. Then, two kinds of features are extracted from the transaction history and operation codes of the smart contracts. Finally, a classification model is presented to detect smart Ponzi schemes. The extensive experiments show that the proposed model performs better than many traditional classification models and can achieve high accuracy for practical use. By using the proposed approach, we estimate that there are more than 500 smart Ponzi schemes running on Ethereum. Based on these results, we propose to build a uniform platform to evaluate and monitor every created smart contract for early warning of scams.

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“…Then, it calculates fees (line 28). Finally, it pays to previous investors while the balance is enough (line [29][30][31][32][33][34].…”

Section: B a Source Code Snippet Of A Smart Ponzi Schemementioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum

et al. 2019

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“…The authors of [105] focus specifically on electric vehicle cloud and edge (EVCE) applications of blockchain technologies, whereas [106] provides a joint cloud study on smart travelling.…”

Section: When To Use Blockchains For Iiot?mentioning

confidence: 99%

5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps

Varga

Pető

Frankó

et al. 2020

Sensors

190

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Industrial IoT has special communication requirements, including high reliability, low latency, flexibility, and security. These are instinctively provided by the 5G mobile technology, making it a successful candidate for supporting Industrial IoT (IIoT) scenarios. The aim of this paper is to identify current research challenges and solutions in relation to 5G-enabled Industrial IoT, based on the initial requirements and promises of both domains. The methodology of the paper follows the steps of surveying state-of-the art, comparing results to identify further challenges, and drawing conclusions as lessons learned for each research domain. These areas include IIoT applications and their requirements; mobile edge cloud; back-end performance tuning; network function virtualization; and security, blockchains for IIoT, Artificial Intelligence support for 5G, and private campus networks. Beside surveying the current challenges and solutions, the paper aims to provide meaningful comparisons for each of these areas (in relation to 5G-enabled IIoT) to draw conclusions on current research gaps.

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“…On the contrary, such a model enhances the total network cost and also consumes much network resources and time to maintain the contracts [198]. In the similar context, authors in [211] proposed a joint cloud computing-based IoT service to address the privacy and data fusion issues of a single cloud approach used in most of the existing IoT services. This joint cloud computing based model in combination with blockchain can provide a trusted environment in order to exchange the resources among the clouds and to record all the involved transactions with the help of blockchain.…”

Section: A Blockchainmentioning

confidence: 99%

Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions

et al. 2020

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Tactile Internet (TI) is envisioned to create a paradigm shift from the content-oriented communications to steer/control-based communications by enabling real-time transmission of haptic information (i.e., touch, actuation, motion, vibration, surface texture) over Internet in addition to the conventional audiovisual and data traffics. This emerging TI technology, also considered as the next evolution phase of Internet of Things (IoT), is expected to create numerous opportunities for technology markets in a wide variety of applications ranging from teleoperation systems and Augmented/Virtual Reality (AR/VR) to automotive safety and eHealthcare towards addressing the complex problems of human society. However, the realization of TI over wireless media in the upcoming Fifth Generation (5G) and beyond networks creates various non-conventional communication challenges and stringent requirements in terms of ultra-low latency, ultra-high reliability, high data-rate connectivity, resource allocation, multiple access and qualitylatency-rate tradeoff. To this end, this paper aims to provide a holistic view on wireless TI along with a thorough review of the existing state-of-the-art, to identify and analyze the involved technical issues, to highlight potential solutions and to propose future research directions. First, starting with the vision of TI and recent advances and a review of related survey/overview articles, we present a generalized framework for wireless TI in the Beyond 5G Era including a TI architecture, the main technical requirements, the key application areas and potential enabling technologies. Subsequently, we provide a comprehensive review of the existing TI works by broadly categorizing them into three main paradigms; namely, haptic communications, wireless AR/VR, and autonomous, intelligent and cooperative mobility systems. Next, potential enabling technologies across physical/Medium Access Control (MAC) and network layers are identified and discussed in detail. Also, security and privacy issues of TI applications are discussed along with some promising enablers. Finally, we present some open research challenges and recommend promising future research directions. INDEX TERMS Tactile internet, IoT, 5G, beyond 5G, haptic communications, augmented reality (AR), virtual reality (VR), ultra-reliable and low-latency communications (URLLC).

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IoT Service Based on JointCloud Blockchain: The Case Study of Smart Traveling

Cited by 41 publications

References 28 publications

Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum

Exploiting Blockchain Data to Detect Smart Ponzi Schemes on Ethereum

5G support for Industrial IoT Applications— Challenges, Solutions, and Research gaps

Toward Tactile Internet in Beyond 5G Era: Recent Advances, Current Issues, and Future Directions

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