A General Performance and QoS Model for Distributed Software-Defined Environments

AbdelBaky, Moustafa; Parashar, Manish

doi:10.1109/tsc.2019.2928300

Cited by 4 publications

(1 citation statement)

References 41 publications

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“…Generally speaking, the purpose of network security is to provide a trust protection mechanism [11], which can prevent the protected subject from being attacked and illegally accessed by malicious subjects. The introduction of trust mechanism can better ensure the security and collaboration of Internet application systems [12,13]. Data storage and computing tasks in edge computing mostly depend on edge nodes, many of which are exposed to the natural environment.…”

Section: Motivationmentioning

confidence: 99%

An Efficient and Credible Multi-Source Trust Fusion Mechanism Based on Time Decay for Edge Computing

Kong

Hou

et al. 2020

Electronics

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With the development of 5G, user terminal computing moves up and cloud computing sinks, thus forming a computing fusion at the edge. Edge computing with high-efficiency, real-time, and fast features will become part of 5G construction. Utilizing distributed computing and storage resources at the edge of the network to perform distributed data processing tasks can alleviate the load on the cloud computing center, which is also the development trend of edge computing. When a malicious node exists, the error information feedback by the node will affect the result of local perception decision. To solve the problem of malicious behavior of the node, a node trust evaluation mechanism of interactive behavior is introduced. The trust mechanism for edge computing network environments is introduced as a novel security solution. First, the key thought of the trust mechanism proposed in this paper is to establish a trust relationship between edge nodes in open edge computing environment. Then, a multi-source trust fusion algorithm based on time decay aggregates direct interaction trust and different third-party recommendation trust to calculate the global trust of the evaluated nodes. Finally, simulation experiments show that the algorithm has a certain degree of improvement in computational efficiency and interaction success rate over other existing models, which reduces the situation of malicious node deception.

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Section: Motivationmentioning

confidence: 99%