Multi-layer Access Control Mechanism based on Blockchain for Mobile Edge Computing

Hou, Yichen; Liu, Wenxin; Lin, Hui; Wang, XiaoDing

doi:10.1109/ispa-bdcloud-socialcom-sustaincom51426.2020.00061

Cited by 6 publications

(7 citation statements)

References 14 publications

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“…These features cannot satisfy the necessities of safe data accessing to sustain different edge computing domains. In order to address deficiencies, this article proposes a Blockchain‐based Multi‐layer Access Control mechanism (BMAC) 11 . The security check is assigned to all the resources allocated in the dataset.…”

Section: Literature Surveymentioning

confidence: 99%

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Multilayer privacy‐preserving model for security and privacy access control in edge computing

Karthikeyan

Madhavan

2023

Concurrency and Computation

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In a recent scenario of a computing environment, the Internet of Things (IoT) provides a greater impact in several applications and services. For that Edge Computing techniques are effectively incorporated, in which the sensitive data are stored on servers.As a result, edge computing allows for data storage and operation at the network's edge to emerge as optimistic advancement. Regardless, the distinctive characteristics of edge computing including real-time computing, content perception and parallel processing have introduced a number of innovative challenges in the domain of privacy preservation and data security. Edge computing provides an extension of the cloud for designing and deploying new security resolutions in the area of IoT. In this paper, a Trusted Platform Module with Ciphertext-policy attribute-based encryption technique is introduced to provide a solution to a multilayer privacy-preserving model for efficient data storage. The developed model is adaptable and has a reliable data access control mechanism. Further, the results of the experiments demonstrate that the suggested technique operates better and give 83% results in terms of storage cost, load testing, effective runtime execution, higher security, credibility, and efficiency. K E Y W O R D Scipher text, edge computing, internet of things, multi kernel support vector machine, multilayer access control mechanism INTRODUCTIONThe spread of 5G network architecture and Internet of Things (IoT) is hastening the appearance of unique service standards and critical domains such as smart cities, intelligent transportation, location services, Augmented Reality and so on. 1 Numerous IoT sensing devices develop enormous amounts of data from the physical world such as smartphones, smart home appliances, wearable devices and so on. The edge computing prototypes are further dedicated and effective when compared to cloud computing terminal. 2 This technique includes both data clients and data producer. The benefits of edge things for an edge client include computational offload, acquiring data, storage and processing, nominal cost, minimal communication and minimal response period. The distribution of sending and receiving assistance from edge things effects in a more increased intensity of resource consumption, imposing lesser electricity costs. While the edge computing model contains multiple advantages over the conventional cloud platform, privacy issues are arising as an impediment to the implementation of the edge computing framework. 3 In order to maintain data privacy, susceptible data from owners must be encrypted prior to being sent to edge servers. In this case, users must figure out how to explore keywords in ciphertexts among encrypted files. The secure data search issues in a broadcasted and multidomain co-occurrence edge computing framework can be described to construct a protected keyword search method in a distributed repository service standard and the expansion towards the edge computing domain is required. 4 It is very essential to have f...

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Section: Literature Surveymentioning

confidence: 99%

“…In order to address deficiencies, this article proposes a Blockchain-based Multi-layer Access Control mechanism (BMAC). 11 The security check is assigned to all the resources allocated in the dataset. Further, an InfoMap-based algorithm is created to perform user grouping specified on credibility.…”

Section: Deep Learning-based Techniquesmentioning

confidence: 99%

Multilayer privacy‐preserving model for security and privacy access control in edge computing

Karthikeyan

Madhavan

2023

Concurrency and Computation

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“… Queralta et al (2020) uses evolutionary game strategy to study the problem of multi-user computing offloading in dynamic environments. Finally, Xu et al (2020) , Huang et al (2022) , and Hou et al (2020) exploits the mobility of UAVs to solve the low mobility problem of edge servers ( Queralta et al, 2020 ; Xu et al, 2020 ; Huang et al, 2022 ; Hou et al, 2020 ).…”

Section: Related Workmentioning

confidence: 99%

“…(A) Proof of Work (PoW): This work first proposed the idea of Proof of Work to increase the cost of spammers by calculating a specific mathematical problem ( Takahashi, Tanaka & Kawamura, 2015 ). The PoW consensus mechanism was first introduced in the article in 1999, which also laid the foundation for the consensus mechanism used in Bitcoin proposed by Satoshi Nakamoto in later generations ( Hou et al, 2020 ). Proof of work is one of the most typical algorithms in blockchain consensus mechanisms, such as the mining process in Bitcoin.…”

Section: Consensus Mechanism For Block Chainmentioning

confidence: 99%

“…This article uses Matlab r 2016a to conduct many experiments and get the experimental results. This article sets the coverage as 50 m × 50 m ( Hou et al, 2020 ). By default, the number of subtasks, mobile devices, and relay devices is set to 4, 3, and 3, respectively, and other parameters in the experiments ( Jiang, Li & Wu, 2019 ; Asheralieva & Niyato, 2021 ; Wu et al, 2021 ) are shown in Table 2 .…”

Section: Performance Evaluationmentioning

confidence: 99%

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Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing

Haider

Soni

et al. 2022

PeerJ Computer Science

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Mobile edge computational power faces the difficulty of balancing the energy consumption of many devices and workloads as science and technology advance. Most related research focuses on exploiting edge server computing performance to reduce mobile device energy consumption and task execution time during task processing. Existing research, however, shows that there is no adequate answer to the energy consumption balances between multi-device and multitasking. The present edge computing system model has been updated to address this energy consumption balance problem. We present a blockchain-based analytical method for the energy utilization balance optimization problem of multi-mobile devices and multitasking and an optimistic scenario on this foundation. An investigation of the corresponding approximation ratio is performed. Compared to the total energy demand optimization method and the random algorithm, many simulation studies have been carried out. Compared to the random process, the testing findings demonstrate that the suggested greedy algorithm can improve average performance by 66.59 percent in terms of energy balance. Furthermore, when the minimum transmission power of the mobile device is between five and six dBm, the greedy algorithm nearly achieves the best solution when compared to the brute force technique under the classical task topology.

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A Complete virtual Edge Computing Extrapolation Architectural style, Uses, and Implications

Thakkar,

Patel,

Patel

et al. 2023

2023 IEEE World Conference on Applied Intelligence and Computing (AIC)

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Multi-layer Access Control Mechanism based on Blockchain for Mobile Edge Computing

Cited by 6 publications

References 14 publications

Multilayer privacy‐preserving model for security and privacy access control in edge computing

Multilayer privacy‐preserving model for security and privacy access control in edge computing

Blockchain based energy efficient multi-tasking optimistic scenario for mobile edge computing

A Complete virtual Edge Computing Extrapolation Architectural style, Uses, and Implications

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