Edge Computing-Based Tasks Offloading and Block Caching for Mobile Blockchain

Yan, Yong; Dai, Yao; Zhou, Zhiqiang; Jiang, Wei; Guo, Shaoyong

doi:10.32604/cmc.2020.07425

Cited by 22 publications

(12 citation statements)

References 8 publications

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“…Yan et al puts forward a blockchain framework based on mobile edge computing, in which the blockchain mining tasks can be offloaded to nearby the edge computing service providers, and the encrypted hashes of blocks can be cached in the edge computing service providers. Moreover, they model the process of offloading and caching to ensure that both edge nodes and edge computing service providers obtain the maximum profit [26]. Nguyen et al presents a new privacy-preserving Secure Ant Colony optimization with multi-kernel support vector machine with elliptical curve cryptosystem for secure and reliable IoT data sharing based on blockchain to ensure protection and integrity of data [27].…”

Section: Related Researchmentioning

confidence: 99%

DynamiChain: Development of Medical Blockchain Ecosystem Based on Dynamic Consent System

et al. 2021

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Although blockchain is acknowledged as one of the most important technologies to lead the fourth industrial revolution, major technical challenges regarding security breach and privacy issues remain. This issue is particularly sensitive in applied medical fields where personal health information is handled within the network. In addition, contemporary blockchain-converged solutions do not consider restricted medical data regulations that are still obstacles in many countries worldwide. This implies a crucial need for a system or solution that is suitable for the healthcare sector. Therefore, this article proposes the development of a dynamic consent medical blockchain system called DynamiChain, based on a ruleset management algorithm for handling health examination data. Moreover, medical blockchain-related studies were systematically reviewed to prove the novelty of DynamiChain. The proposed system was implemented in a scenario where the exercise management healthcare company provided health management services based on data obtained from the data provider’s hospital. The proposed research is envisioned to provide a widely compatible blockchain medical system that could be applied in future healthcare fields.

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Section: Related Researchmentioning

confidence: 99%

DynamiChain: Development of Medical Blockchain Ecosystem Based on Dynamic Consent System

et al. 2021

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“…Abrading and termination pay might be contemplated as dual different practices can directly expand the cloud systems' user-friendliness and flexibility. In addition, some more block-chain and cloud related work can be read and referred to the references [20,[31][32][33][34][35][36][37][38][39]43,44]. The CPABE practice leads to several key problems when installed at cloud consumer's information interchange policy construction.…”

Section: Related Workmentioning

confidence: 99%

“…In this QKD approach, Sender (Alice) and Receiver (Bob) communicate their cubits via the secure quantum communication link and actual information is communicated with a classical cryptographic approach by means of open communication link [30]. To retrieve the cloud user data, block chain is also an effective technique [31][32][33][34][35]. Automated electrical user's personal clinical database is the present operational patient monitory facility contributing the main portion of preserving and monitoring the user's information, which was the key problem in w.r.t confidential patient's personal files breach [26].…”

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confidence: 99%

A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data

Singamaneni

Ramana²,

Singh

et al. 2021

Sensors

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As a result of the limited resources available in IoT local devices, the large scale cloud consumer’s data that are produced by IoT related machines are contracted out to the cloud. Cloud computing is unreliable, using it can compromise user privacy, and data may be leaked. Because cloud-data and grid infrastructure are both growing exponentially, there is an urgent need to explore computational sources and cloud large-data protection. Numerous cloud service categories are assimilated into numerous fields, such as defense systems and pharmaceutical databases, to compute information space and allocation of resources. Attribute Based Encryption (ABE) is a sophisticated approach which can permit employees to specify a higher level of security for data stored in cloud storage facilities. Numerous obsolete ABE techniques are practical when applied to small data sets to generate cryptograms with restricted computational properties; their properties are used to generate the key, encrypt it, and decrypt it. To address the current concerns, a dynamic non-linear polynomial chaotic quantum hash technique on top of secure block chain model can be used for enhancing cloud data security while maintaining user privacy. In the proposed method, customer attributes are guaranteed by using a dynamic non- polynomial chaotic map function for the key initialization, encryption, and decryption. In the proposed model, both organized and unorganized massive clinical data are considered to be inputs for reliable corroboration and encoding. Compared to existing models, the real-time simulation results demonstrate that the stated standard is more precise than 90% in terms of bit change and more precise than 95% in terms of dynamic key generation, encipherment, and decipherment time.

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“…Dinh et al [25] show that it is possible to perform computational tasks without requiring prior system knowledge, but instead, with the help of emerging reinforcement learning (RL) algorithms that can optimally learn the dynamic computational triage strategy. Yan et al [26] model the process of offloading and caching to ensure that both edge nodes and edge computing service providers obtain the maximum profit based on game theory and auction theory. Gong et al [27] present an intelligent cooperative edge (ICE) computing in IoTs networks to achieve a complementary integration of AI and edge computing.…”

Section: Related Workmentioning

confidence: 99%

A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks

Dong-Hoon

et al. 2021

Security and Communication Networks

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The edge computing node plays an important role in the evolution of the artificial intelligence-empowered Internet of things (AIoTs) that converge sensing, communication, and computing to enhance wireless ubiquitous connectivity, data acquisition, and analysis capabilities. With full connectivity, the issue of data security in the new cloud-edge-terminal network hierarchy of AIoTs comes to the fore, for which blockchain technology is considered as a potential solution. Nevertheless, existing schemes cannot be applied to the resource-constrained and heterogeneous IoTs. In this paper, we consider the blockchain design for the AIoTs and propose a novel classified ledger framework based on lightweight blockchain (CLF-LB) that separates and stores data rights at the source and enables a thorough data flow protection in the open and heterogeneous network environment of AIoT. In particular, CLF-LB divides the network into five functional layers for optimal adaptation to AIoTs applications, wherein an intelligent collaboration mechanism is also proposed to enhance the across-layer operation. Unlike traditional full-function blockchain models, our framework includes novel technical modules, such as block regenesis, iterative reinforcement of proof-of-work, and efficient chain uploading via the system-on-chip system, which are carefully designed to fit the cloud-edge-terminal hierarchy in AIoTs networks. Comprehensive experimental results are provided to validate the advantages of the proposed CLF-LB, showing its potentials to address the secrecy issues of data storage and sharing in AIoTs networks.

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Edge Computing-Based Tasks Offloading and Block Caching for Mobile Blockchain

Cited by 22 publications

References 8 publications

DynamiChain: Development of Medical Blockchain Ecosystem Based on Dynamic Consent System

DynamiChain: Development of Medical Blockchain Ecosystem Based on Dynamic Consent System

A Novel Blockchain and Bi-Linear Polynomial-Based QCP-ABE Framework for Privacy and Security over the Complex Cloud Data

A Novel Classified Ledger Framework for Data Flow Protection in AIoT Networks

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