5G Cybersecurity Based on the Blockchain Random Neural Network in Intelligent Buildings

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.