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- W2970804590 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." @default.
- W2970804590 created "2019-09-05" @default.
- W2970804590 creator A5028648435 @default.
- W2970804590 date "2019-08-30" @default.
- W2970804590 modified "2023-09-27" @default.
- W2970804590 title "5G Cybersecurity Based on the Blockchain Random Neural Network in Intelligent Buildings" @default.
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- W2970804590 doi "https://doi.org/10.1007/978-3-030-29933-0_34" @default.
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