Abstract
5G promises much faster Internet transmission rates at minimum latencies with indoor and outdoor coverage; 5G potentially could replace traditional Wi-Fi for network connectivity and Bluetooth technology for geolocation with a seamless radio coverage and network backbone that will accelerate new services such as the Internet of Things (IoT). New infrastructure applications will depend on 5G as a mobile Internet service provider therefore eliminating the need to deploy additional private network infrastructure or mobile networks to connect devices; however, this will increase cybersecurity risks as radio networks and mobile access channels will be shared between independent services. To address this issue, this paper presents a digital channel authentication method based on the Blockchain Random Neural Network to increase Cybersecurity against rogue 5G nodes; in addition, the proposed solution is applied to Physical Infrastructure: an Intelligent Building. The validation results demonstrate that the addition of the Blockchain Neural Network provides a cybersecure channel access control algorithm that identifies 5G rogue nodes where 5G node identities are kept cryptographic and decentralized.
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Serrano, W. (2020). 5G Cybersecurity Based on the Blockchain Random Neural Network in Intelligent Buildings. In: Ju, Z., Yang, L., Yang, C., Gegov, A., Zhou, D. (eds) Advances in Computational Intelligence Systems. UKCI 2019. Advances in Intelligent Systems and Computing, vol 1043. Springer, Cham. https://doi.org/10.1007/978-3-030-29933-0_34
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DOI: https://doi.org/10.1007/978-3-030-29933-0_34
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