NetChain: A Blockchain-Enabled Privacy-Preserving Multi-Domain Network Slice Orchestration Architecture

He, Guobiao; Su, Wei; Gao, Shuai; Liu, Ningchun; Das, Sajal K.

doi:10.1109/tnsm.2021.3110057

Cited by 12 publications

(7 citation statements)

References 37 publications

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“…Recently, privacy-preserving ML mainly bases on the following three underlying technologies: Differential Privacy (DP) [17], Secure Multi-Party Computation (SMC) [18], and Homomorphic Encryption (HE) [19]. Many scholars combine homomorphic encryption and machine learning to achieve privacy protection, which is used in our frame.…”

Section: B Privacy-preserving Machine Learningmentioning

confidence: 99%

MS-FL: A Federated Learning Framework Based on Multiple Security Strategies

Yang,

Kang,

Wei

2024

IEEE Access

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With the establishment and standardization of the data trading market, an increasing number of users are utilizing multi-party data for federated machine learning to obtain their desired models. Therefore, scholars have proposed numerous federated learning frameworks to address practical issues. However, there are still three issues that need to be addressed in current federated learning frameworks: 1) privacy protection, 2) poisoning attack, and 3) protection of the interests of participants. To address these issues, this paper proposes a novel federated learning framework MS-FL based on multiple security strategies. The framework's algorithms guarantee that data providers need not worry about data privacy leakage. At the same time, it can defend against poisoning attack from malicious nodes. Finally, to ensure the interests of all parties are protected, a blockchain protocol is utilized. The theoretical derivation proves the effectiveness of this framework. Experimental results show that the algorithm designed in this paper outperforms other algorithms.

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Section: B Privacy-preserving Machine Learningmentioning

confidence: 99%

MS-FL: A Federated Learning Framework Based on Multiple Security Strategies

Yang,

Kang,

Wei

2024

IEEE Access

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“…A secure E2E network slice creation mechanism called NetChain is proposed in [124], which is based on blockchain and the Trusted Execution Environment (TEE). NetChain aims to eradicate the challenges and risks which arise from the disclosure of sensitive information, from single point-offailure, and having no guarantee of providing the agreed upon QoS to the users.…”

Section: A Review Of the State-of-the-art Researchmentioning

confidence: 99%

Blockchain for Dynamic Spectrum Access and Network Slicing: A Review

et al. 2023

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Dynamic spectrum access (DSA) and network slicing are some of the principal concepts to realize the emerging applications in Beyond 5th Generation (B5G) and 6th Generation (6G) networks. The frequency spectrum remains scarce and underutilized, while the performance requirements in terms of data throughput and latency of the network tenants have diversified. DSA allows for the efficient utilization of spectrum resources, while network slicing aims to serve network users with highly distinctive service needs. Lack of incentivization, sharing of spectrum resources among multiple operators, and lack of trust between operators are some of the challenges faced by centralized DSA approaches. Similarly, secure network slice orchestration, slice-isolation, secure access to network resources, privacy of user sensitive data, assuring the provision of Service Level Agreements (SLAs), are some of the challenges in existing network slicing techniques. Blockchain due to its innate capabilities can be a promising technology to solve the key issues pertaining to current DSA and network slicing approaches. Blockchain through smart contracts, provides traceability of network resources, auditability and accountability of network operators and service providers. Smart contracts facilitate the automation of resource sharing and network slice orchestration, while ensuring that SLAs are met, and network operators are compensated. This paper first provides a comprehensive overview of the DSA concept, the existing DSA techniques, and the challenges posed by these techniques. This is followed by a detailed description of network slicing, its key elements and architecture, various network slicing parameters, existing network slicing techniques and their challenges. Then an in-depth review on blockchain, its working principle, factors that affect blockchain implementation, and a comparison of various open-source blockchain platforms that support smart contracts is presented. This discussion is summarized by presenting the state-of-the-art in the blockchain-enabled DSA and network slicing, challenges and trade-offs of these techniques, and the gaps and future directions in this research area. Finally, we conclude by providing some future research directions.

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“…He et al in [ 40 ] integrated a multidomain network slice orchestration framework with a blockchain-based CoNet consensus algorithm for data consistency, scalability, and security. Further, they proposed a game-theory-based bilateral evaluation approach that provides system fairness with a QoS guarantee.…”

Section: Role Of Blockchain In 6g Servicesmentioning

confidence: 99%

Blockchain-Driven Intelligent Scheme for IoT-Based Public Safety System beyond 5G Networks

Rathod

Jadav

Tanwar

et al. 2023

Sensors

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Mobile applications have rapidly grown over the past few decades to offer futuristic applications, such as autonomous vehicles, smart farming, and smart city. Such applications require ubiquitous, real-time, and secure communications to deliver services quickly. Toward this aim, sixth-generation (6G) wireless technology offers superior performance with high reliability, enhanced transmission rate, and low latency. However, managing the resources of the aforementioned applications is highly complex in the precarious network. An adversary can perform various network-related attacks (i.e., data injection or modification) to jeopardize the regular operation of the smart applications. Therefore, incorporating blockchain technology in the smart application can be a prominent solution to tackle security, reliability, and data-sharing privacy concerns. Motivated by the same, we presented a case study on public safety applications that utilizes the essential characteristics of artificial intelligence (AI), blockchain, and a 6G network to handle data integrity attacks on the crime data. The case study is assessed using various performance parameters by considering blockchain scalability, packet drop ratio, and training accuracy. Lastly, we explored different research challenges of adopting blockchain in the 6G wireless network.

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NetChain: A Blockchain-Enabled Privacy-Preserving Multi-Domain Network Slice Orchestration Architecture

Cited by 12 publications

References 37 publications

MS-FL: A Federated Learning Framework Based on Multiple Security Strategies

MS-FL: A Federated Learning Framework Based on Multiple Security Strategies

Blockchain for Dynamic Spectrum Access and Network Slicing: A Review

Blockchain-Driven Intelligent Scheme for IoT-Based Public Safety System beyond 5G Networks

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