State Channel as a Service Based on a Distributed and Decentralized Web

Podgorelec, Blaž; Herieko, Marjan; Turkanović, Muhamed

doi:10.1109/access.2020.2984378

Cited by 7 publications

(3 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ref. [ 15 ] designed a distributed multi-party secure data-sharing architecture based on blockchain authorization to transform the data-sharing problem into a machine learning problem. By sharing the data model instead of revealing the actual data, data privacy was well maintained.…”

Section: Related Workmentioning

confidence: 99%

A Federated Learning Multi-Task Scheduling Mechanism Based on Trusted Computing Sandbox

Liu

Han

Chen

et al. 2023

Sensors

View full text Add to dashboard Cite

At present, some studies have combined federated learning with blockchain, so that participants can conduct federated learning tasks under decentralized conditions, sharing and aggregating model parameters. However, these schemes do not take into account the trusted supervision of federated learning and the case of malicious node attacks. This paper introduces the concept of a trusted computing sandbox to solve this problem. A federated learning multi-task scheduling mechanism based on a trusted computing sandbox is designed and a decentralized trusted computing sandbox composed of computing resources provided by each participant is constructed as a state channel. The training process of the model is carried out in the channel and the malicious behavior is supervised by the smart contract, ensuring the data privacy of the participant node and the reliability of the calculation during the training process. In addition, considering the resource heterogeneity of participant nodes, the deep reinforcement learning method was used in this paper to solve the resource scheduling optimization problem in the process of constructing the state channel. The proposed algorithm aims to minimize the completion time of the system and improve the efficiency of the system while meeting the requirements of tasks on service quality as much as possible. Experimental results show that the proposed algorithm has better performance than the traditional heuristic algorithm and meta-heuristic algorithm.

show abstract

Section: Related Workmentioning

confidence: 99%

A Federated Learning Multi-Task Scheduling Mechanism Based on Trusted Computing Sandbox

Liu

Han

Chen

et al. 2023

Sensors

View full text Add to dashboard Cite

show abstract

“…Instead, the information is stored outside the blockchain network, i.e., off-chain. Meanwhile, proof that the information has not been tampered with is stored on-chain, as well as the data hashes instead of the full data content [ 17 ].…”

Section: Literature Studymentioning

confidence: 99%

Blockchain-Based Supply Chain Systems, Interoperability Model in a Pharmaceutical Case Study

Mezquita

Podgorelec

González

et al. 2023

Sensors

Self Cite

View full text Add to dashboard Cite

The main purpose of supply chain systems based on blockchain technology is to take advantage of technology innovations to ensure that a tracked asset's audit trail is immutable. However, the challenge lies in tracking the asset among different blockchain-based supply chain systems. The model proposed in this paper has been designed to overcome the identified challenges. Specifically, the proposed model enables: (1) the asset to be tracked among different blockchain-based supply-chain systems; (2) the tracked asset’s supply chain to be cryptographically verified; (3) a tracked asset to be defined in a standardized format; and (4) a tracked asset to be described with several different standardized formats. Thus, the model provides a great advantage in terms of interoperability between different blockchain-driven supply chains over other models in the literature, which will need to replicate the information in each blockchain platform they operate with, while giving flexibility to the platforms that make use of it and maintain the scalability of those logistic platforms. This work aims to examine the application of the proposed model from an operational point of view, in a scenario within the pharmaceutical sector.

show abstract

“…In the work of Hasan et al [16], a blockchainbased model deals with images and other data to handle the storage and the sharing contract among the stakeholders. A joint study on scalability and Adhoc usage of accountability is considered a research problem by Podgorelec et al [17] and proposes a concept of state channel as a service (SaaS) that ensures secure distributed connections for off-site chain issues in the payment system. Another significant work in the healthcare domain is Madine et al [18], which securely uses a specific file system, cryptography, and blockchain-based authorization architecture to share patient records' consent.…”

Section: )mentioning

confidence: 99%

Privacy Preservation Modelling for Securing Image Data using Novel Ethereum-based Ecosystem

Dule¹,

R²

2023

IJACSA

View full text Add to dashboard Cite

The broad usage of images in real-time applications demands a cloud infrastructure due to its advantages. Many use cases are built where the image data is shared, sharing becomes the core function, and the medical domain takes its broad advantage. The cloud is a centralized infrastructure for its all-operation usages; it depends mainly on the trusted third party to handle security concerns. Therefore, the privacy preservation of the image data or any data becomes an issue of concern. The distrusted system advantages are achieved using blockchain technology for image data security and privacy concerns. The traditional approaches of the security and privacy models raise many apprehensions as these are designed on the centralized systems of the data sharing mechanisms. It is also observed that large data files are not wisely handled, which demands building a framework model that takes image data and any other data of any size to ensure a dependable optimal security system. This paper presents a framework model to achieve optimal time complexity for securing the privacy aspects of the image data or any other data that uses space optimal file system using distributed security mechanism for both the storage and sharing of the data. The proposed framework model for optimal time complexity and security uses a duplication algorithm using stakeholder agreement to ensure efficient access control to the resources using the cryptographic approach to the Ethereum ecosystem. The performance metric used in the model evaluation includes the degree of availability and efficiency. On benchmarks, it performs well compared to the traditional cloud-built distributed systems. The quantified outcome of the proposed scheme exhibits a 42.5% of reduction in time for data repositioning, a 41.1% of reduction in time for data retrieval, a 34.8% of reduction in operational cost, a 73.9% of reduction in delay, and a 61% faster algorithm execution time in contrast to conventional blockchain method.

show abstract

State Channel as a Service Based on a Distributed and Decentralized Web

Cited by 7 publications

References 12 publications

A Federated Learning Multi-Task Scheduling Mechanism Based on Trusted Computing Sandbox

A Federated Learning Multi-Task Scheduling Mechanism Based on Trusted Computing Sandbox

Blockchain-Based Supply Chain Systems, Interoperability Model in a Pharmaceutical Case Study

Privacy Preservation Modelling for Securing Image Data using Novel Ethereum-based Ecosystem

Contact Info

Product

Resources

About