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5G network slicing function migration strategy based on security threat prediction
HE Zanyuan, WANG Kai, NIU Ben, YOU Wei, TANG Hongbo
Journal of Computer Applications    2019, 39 (2): 446-452.   DOI: 10.11772/j.issn.1001-9081.2018061399
Abstract530)      PDF (1142KB)(334)       Save
With the development of virtualization technology, co-resident attack becomes a common means to steal sensitive information from users. Aiming at the hysteresis of existing virtual machine dynamic migration method reacting to co-resident attacks, a virtual network function migration strategy based on security threat prediction in the context of 5G network slicing was proposed. Firstly, network slicing operation security was modeled based on Hidden Markov Model (HMM), and the network security threats were predicted by multi-source heterogeneous data. Then according to the security prediction results, the migration cost was minimized by adopting the corresponding virtual network function migration strategy. Simulation experimental results show that the proposed strategy can effectively predict the security threats and effectively reduce the migration overhead and information leakage time by using HMM, which has a better defense effect against co-resident attack.
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