Abstract
The security landscape of the telecommunications networks is changing very rapidly. Advanced Persistent Threats are evolving and will be used widely by attackers. As IoT is now advancing to a large scale business and 5G is maturing to commercial networks, the efficient and effective detection and analysis of vulnerabilities will be a significant issue. In this paper, we introduce 5G network slicing and propose a model where user device testing can be isolated to a dedicated test network slice. By this concept, even very advanced malware in a user device can be detected and analysed.
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CITATION STYLE
Isotalo, L. (2017). 5G Slicing as a tool to test user equipment against advanced persistent threats. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10394 LNCS, pp. 595–603). Springer Verlag. https://doi.org/10.1007/978-3-319-64701-2_46
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