Towards a Secure Mobile Edge Computing Framework for Hajj

Rahman, Abdur; Hassanain, Elham; Hossain, M. Shamim

doi:10.1109/access.2017.2716782

Cited by 52 publications

(30 citation statements)

References 43 publications

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“…Recent advancements in decentralized data transactions via Blockchain [5], [11], IoT [12], MEC and Fog Computing [2], [7], [30] and 5G device-to-device (D2D) communication capability [27] will allow secure sharing economy services wherein any number of entities within a mass crowd, such as in a smart city, can perform a multiparty transaction in a decentralized manner [6], [7], [24], [25]. For example, recent medical equipment, such as CT Scan machine, has embedded IoT devices that enable data processing locally and upload the results to Blockchain and off-chain nodes running at the nearby edge [3], [7], [9], [22], [24], [28], [31]. Two parties can securely perform any online activity or financial or business transaction [3], [13], [26], [37].…”

Section: Related Studymentioning

confidence: 99%

“…For example, recent medical equipment, such as CT Scan machine, has embedded IoT devices that enable data processing locally and upload the results to Blockchain and off-chain nodes running at the nearby edge [3], [7], [9], [22], [24], [28], [31]. Two parties can securely perform any online activity or financial or business transaction [3], [13], [26], [37]. In the context of a sharing economy application [1], a person can perform health checkups on demand in different mobile edge locations, thereby providing ubiquitous sharing economy service access of health data [10], [13], [18], [19], [25], [26], [29], [38].…”

Section: Related Studymentioning

confidence: 99%

“…For example, recent medical equipment, such as Computed Tomography (CT) Scan machine, comes with embedded IoT devices, which can process diagnosed data at the edge [2]. Moreover, the MEC layer could incorporate decentralized security mechanisms, such as Blockchain and The Onion Router (Tor), to ensure data security and privacy before the health IoT data are shared with the stakeholders [3]. For example, the Tor network allows disguising the transaction parties' identity by encrypting the traffic and then randomizing the medical equipment terminals so that the traffic looks like coming from random nodes on the Tor network [4].…”

Section: Introductionmentioning

confidence: 99%

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Blockchain and IoT-Based Cognitive Edge Framework for Sharing Economy Services in a Smart City

et al. 2019

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In this paper, we propose a Blockchain-based infrastructure to support security-and privacy-oriented spatio-temporal smart contract services for the sustainable Internet of Things (IoT)-enabled sharing economy in mega smart cities. The infrastructure leverages cognitive fog nodes at the edge to host and process offloaded geo-tagged multimedia payload and transactions from a mobile edge and IoT nodes, uses AI for processing and extracting significant event information, produces semantic digital analytics, and saves results in Blockchain and decentralized cloud repositories to facilitate sharing economy services. The framework offers a sustainable incentive mechanism, which can potentially support secure smart city services, such as sharing economy, smart contracts, and cyber-physical interaction with Blockchain and IoT. Our unique contribution is justified by detailed system design and implementation of the framework. INDEX TERMS Sharing economy, cognitive processing at the edge, mobile edge computing, Blockchain, smart city.

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Section: Related Studymentioning

confidence: 99%

Section: Related Studymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Blockchain and IoT-Based Cognitive Edge Framework for Sharing Economy Services in a Smart City

et al. 2019

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“…Abbas et al [17] provided a mobile edge computing architecture and elaborated its advantages, potential application areas and future research directions. Rahman et al [18] developed a mobile edge computing framework to support real-time and locationaware personalized services. Baktir et al [19] provided a comprehensive survey of edge computing and discussed its technical challenges in depth.…”

Section: Related Workmentioning

confidence: 99%

Matching-Based Task Offloading for Vehicular Edge Computing

Liu

Sun

2019

IEEE Access

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Vehicular edge computing has emerged as a promising technology to accommodate the tremendous demand for data storage and computational resources in vehicular networks. By processing the massive workload tasks in the proximity of vehicles, the quality of service can be guaranteed. However, how to determine the task offloading strategy under various constraints of resource and delay is still an open issue. In this paper, we study the task offloading problem from a matching perspective and aim to optimize the total network delay. The task offloading delay model is derived based on three different velocity models, i.e., a constant velocity model, vehicle-following model, and traveling-time statistical model. Next, we propose a pricing-based one-to-one matching algorithm and pricing-based one-to-many matching algorithms for the task offloading. The proposed algorithm is validated based on three different simulation scenarios, i.e., straight road, the urban road with the traffic light, and crooked road, which are extracted from the realistic road topologies in Beijing and Guangdong, China. The simulation results confirm that significant delay decreasing can be achieved by the proposed algorithm. INDEX TERMS Vehicular edge computing, task offloading, one-to-one matching, matching with quota, SUMO.

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“…Due to the industry 4.0 revolution, sharing economy services can take benefit from IoT and edge computing paradigm, not only for processing large amounts of data, but also for incorporating decentralized security mechanisms. For example, blockchain and off-chain can provide data security and privacy of the IoT data and the identity of the stakeholders [1] [2]. Two parties, without knowing each other, can perform a sharing economy business contract in which financial transaction or multimedia IoT data sharing needs to be performed without a middleman [3] [4] [5].…”

Section: Introductionmentioning

confidence: 99%

Blockchain and IoT-based Secure Multimedia Retrieval System for a Massive Crowd

Rahman

Loukas

Abdullah³

et al. 2019

Proceedings of the 2019 on International Conference on Multimedia Retrieval

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Blockchain's properties in addressing trust in highly decentralized environments can make it an enabler for novel sharing economy services. In this paper, we demonstrate the practicality of blockchain-based Secure IoT as a Service (SIoTaaS), where an IoT device can be rented from a service provider, securely and in a privacy-preserving fashion. Our framework allows the simultaneous operations of distinct providers of IoT-based sharing economy services at a large scale. Multiple parties can securely share text and multimedia in the context of location and point-ofinterest sharing, perform financial transactions by hiding true identity of parties involved in various online transactions, perform user and IoT registration, transfer value transactions via Ethereum tokens between providers and consumers, as well as raw IoT data payload. This can turn smart room IoT devices, such as smart locks, light bulbs, air conditioning and fans into rentable business entities within a secure sharing economy platform. We will demonstrate such a proof of concept IoT sharing economy framework, which is specifically designed to support the temporary IoT needs of very large numbers of users, such as Hajj pilgrims concentrating for a short period of time at a single area in Saudi Arabia.

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Towards a Secure Mobile Edge Computing Framework for Hajj

Cited by 52 publications

References 43 publications

Blockchain and IoT-Based Cognitive Edge Framework for Sharing Economy Services in a Smart City

Blockchain and IoT-Based Cognitive Edge Framework for Sharing Economy Services in a Smart City

Matching-Based Task Offloading for Vehicular Edge Computing

Blockchain and IoT-based Secure Multimedia Retrieval System for a Massive Crowd

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