Falcon: A Blockchain-Based Edge Service Migration Framework in MEC

Zhang, Xiangjun; Wu, Weiguo; Yang, Shiyuan; Wang, Xiong

doi:10.1155/2020/8820507

Cited by 8 publications

(9 citation statements)

References 42 publications

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“…In heterogeneous environments like MEC, the infrastructure needs to examine the pertinent aspects of access requests instead of assuming trust based on a point-in-time assurance, that is, admission control or network location. Trust management for MEC introduces challenges as identified in [7,[26][27][28][29]. In the ZTS approach, the security posture of applications, users, and UE [11,24] will be continually reassessed.…”

Section: Zero-trust Securitymentioning

confidence: 99%

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A Maturity Framework for Zero-Trust Security in Multiaccess Edge Computing

Ali

Hijjawi

Campbell

et al. 2022

Security and Communication Networks

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Multiaccess Edge Computing (MEC) has been adopted to provide an environment that supports cloud computing capabilities and IT services at the network edge. The open architecture of cloud computing and network access at the edge provides malicious actors with many attack vectors. The MEC system entities cannot be permanently trusted due to the dynamic and shareable nature of MEC deployments. This paper presents a classification of MEC entities that can be used to define security controls based on the Zero-Trust Security approach. The security controls are organised into a maturity framework that can be used to guide the systematic development of trust and security in an MEC environment. In this framework, a Minimum Viable Security posture defines the first operational step towards full implementation of Zero-Trust Security in an MEC environment.

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Section: Zero-trust Securitymentioning

confidence: 99%

“…Several authors [3][4][5][6][7] have proposed a zero-trust approach to security in MEC. Full implementation of Zero-Trust Security (ZTS) would be a major undertaking, and the implementation could be staged to reduce complexity.…”

Section: Introductionmentioning

confidence: 99%

A Maturity Framework for Zero-Trust Security in Multiaccess Edge Computing

Ali

Hijjawi

Campbell

et al. 2022

Security and Communication Networks

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“…18 Zhang et al propose a Blockchain-based architecture to ensure security in mobile edge computing (MEC), which is used with 5G technology to control edge-to-device latency and energy efficiency in its proposed system. 19 Zhao et al proposes to securely store VM measurement data, which is very important in integrity assessment and decision-making, in the IaaS cloud, using the proposed two-layer Blockchain framework. 20 There are many studies that have taken advantage of blockchain, one of the trending topics of recent years, to move from a central controller to a distributed architecture that does not require any authority.…”

Section: Related Workmentioning

confidence: 99%

BlockchainBus: A lightweight framework for secure virtual machine migration in cloud federations using blockchain

Doyle

Golec

Gill

2021

Security and Privacy

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Cloud federations offer numerous advantages such as improved resilience, improved performance, and the prevention of vendor lock-in. In order to function efficiently, however, they must be supported by automated solutions to deploy cloud resources securely and efficiently. In particular, a system which allows virtual machine (VM) migration from one cloud to another while recording this for charging and security purposes is particularly useful. This paper presents a lightweight framework called BlockchainBus which offers secure VM migration in cloud federations using blockchain. This framework is a VM migration Blockchain ledger which can be used to record these migrations. BlockchainBus framework is implemented using the HyperLedger solution and deployed on the Microsoft Azure cloud platform. The overhead of this system is then evaluated. The performance of the BlockchainBus framework was compared with the overall VM migration time and was determined as 2.36 seconds. This result is shorter than the overall VM migration time of 5 seconds and indicates that the BlockchainBus gives better performance.

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“…MEC is defined as providing IT service environment and cloud computing capability at the edge of mobile network [1][2][3][4][5][6][7][8][9]. In the view of the service providers, the network is actually divided into three parts: wireless access network, mobile core network, and application network.…”

Section: Introductionmentioning

confidence: 99%

On Improving the Robustness of MEC with Big Data Analysis for Mobile Video Communication

Zhao

Zeng

Liu

et al. 2021

Security and Communication Networks

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Mobile video communication and Internet of Things are playing a more and more important role in our daily life. Mobile Edge Computing (MEC), as the essential network architecture for the Internet, can significantly improve the quality of video streaming applications. The mobile devices transferring video flow are often exposed to hostile environment, where they would be damaged by different attackers. Accordingly, Mobile Edge Computing Network is often vulnerable under disruptions, against either natural disasters or human intentional attacks. Therefore, research on secure hub location in MEC, which could obviously enhance the robustness of the network, is highly invaluable. At present, most of the attacks encountered by edge nodes in MEC in the IoT are random attacks or random failures. According to network science, scale-free networks are more robust than the other types of network under the random failures. In this paper, an optimization algorithm is proposed to reorganize the structure of the network according to the amount of information transmitted between edge nodes. BA networks are more robust under random attacks, while WS networks behave better under human intentional attacks. Therefore, we change the structure of the network accordingly, when the attack type is different. Besides, in the MEC networks for mobile video communication, the capacity of each device and the size of the video data influence the structure significantly. The algorithm sufficiently takes the capability of edge nodes and the amount of the information between them into consideration. In robustness test, we set the number of network nodes to be 200 and 500 and increase the attack scale from 0% to 100% to observe the behaviours of the size of the giant component and the robustness calculated for each attack method. Evaluation results show that the proposed algorithm can significantly improve the robustness of the MEC networks and has good potential to be applied in real-world MEC systems.

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Falcon: A Blockchain-Based Edge Service Migration Framework in MEC

Cited by 8 publications

References 42 publications

A Maturity Framework for Zero-Trust Security in Multiaccess Edge Computing

A Maturity Framework for Zero-Trust Security in Multiaccess Edge Computing

BlockchainBus: A lightweight framework for secure virtual machine migration in cloud federations using blockchain

On Improving the Robustness of MEC with Big Data Analysis for Mobile Video Communication

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