Trust management for service migration in Multi-access Edge Computing environments

Le, Van Thanh; Ioini, Nabil El; Barzegar, Hamid Reza; Pahl, Claus

doi:10.1016/j.comcom.2022.07.039

Cited by 9 publications

(2 citation statements)

References 24 publications

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“…Paper [34] presents a trust layer for public MEC infrastructure that handles establishing and updating trust relations among all MEC entities, making the interaction within an MEC network transparent. In [35], the authors focus on a trust mechanism based on interactions between MECs to increase reliability in the context of a service migration scenario. In [36], a context-aware distributed online learning algorithm for efficient content caching is proposed according to a novel tree-based and contextual multi-arm bandit theory for collaborative MEC.…”

Section: Related Work On Context Migrationmentioning

confidence: 99%

Security Context Migration in MEC: Challenges and Use Cases

et al. 2022

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Modern and future services require ultra-reliable mobile connections with high bandwidth parameters and proper security protection. It is possible to ensure such conditions by provisioning services in the Multi-Access Edge Computing system integrated with fifth-generation mobile networks. However, the main challenge in the mentioned architecture is providing a secure service migration with all related data and security requirements to another edge computing host area when the user changes its physical location. This article aims to present the state of research on the migration of the security context between service instances in Edge/MEC servers, specify steps of the migration procedure, and identify new security challenges inspired by use cases of 5G vertical industries. For this purpose, the analysis of the security context’s structure and basic concept of the Security Service Level Agreement was performed and presented in the document. Next, a further investigation of the security context was conducted, including requirements for its reliable migration between edge serves instances. The study mainly focused on crucial migration challenges and possible solutions to resolve them. Finally, the authors presented how the proposed solution can be used to protect 5G vertical industries services based on several mobile use cases.

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Section: Related Work On Context Migrationmentioning

confidence: 99%

Security Context Migration in MEC: Challenges and Use Cases

et al. 2022

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“…In a cloud storage system, a service provider is responsible for managing and securing the user's confidential data [2,3]. From the user's point of view, a single entity for data management may also be a single point of failure [4,5]. In addition, questions of trust and transparency about how securely confidential user data are managed and stored arise.…”

Section: Introductionmentioning

confidence: 99%

Robust-DSN: A Hybrid Distributed Replication and Encoding Network Grouped with a Distributed Swarm Workflow Scheduler

Hameed,

Barzegar,

Ioini

et al. 2024

Electronics

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In many distributed applications such as the Internet of Things (IoT), large amounts of data are being generated that require robust storage solutions. Traditional cloud solutions, although efficient, often lack trust and transparency because of centralized management. To address these issues, we present Robust-DSN, a distributed storage network leveraging the hybrid distributed replication and encoding network (HYDREN) and the distributed swarm workflow scheduler (DSWS) as its main components. Our system uses an interplanetary file system (IPFS) as an underlay storage network and segments it into multiple regions to distribute the failure domain and improve the data’s proximity to users. HYDREN incorporates Reed–Solomon encoding and distributed replication to improve file availability, while DSWS optimizes resource allocation across the network. The uploaded file is encoded into chunks and distributed across distinct optimal nodes leveraging lightweight multithreading. Additionally, Robust-DSN verifies the integrity of all chunks by preserving the hashes when uploading and validating each chunk while downloading. The proposed system provides a comprehensive solution for resilient distributed data storage, focusing on the key challenges of data availability, integrity, and performance. The results reveal that compared with a state-of-the-art system, the proposed system improves file recovery by 15%, even with a 50% peer failure rate. Furthermore, with replication factor 4 and the same failure resilience as IPFS, it saves 50% storage and enhances file recovery by 8%. Robust-DSN acts as a distributed storage platform for emerging technologies, expanding storage system capabilities in a wide range of distributed applications.

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Key security measurement method of authentication based on mobile edge computing in urban rail transit communication network

Wang,

Liu

2024

Computer Communications

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Trust management for service migration in Multi-access Edge Computing environments

Cited by 9 publications

References 24 publications

Security Context Migration in MEC: Challenges and Use Cases

Security Context Migration in MEC: Challenges and Use Cases

Robust-DSN: A Hybrid Distributed Replication and Encoding Network Grouped with a Distributed Swarm Workflow Scheduler

Key security measurement method of authentication based on mobile edge computing in urban rail transit communication network

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