| Title |
BDN-GWMNN: Internet of Things (IoT) Enabled Secure Smart City Applications |
| ID_Doc |
37153 |
| Authors |
Peneti, S; Kumar, MS; Kallam, S; Patan, R; Bhaskar, V; Ramachandran, M |
| Title |
BDN-GWMNN: Internet of Things (IoT) Enabled Secure Smart City Applications |
| Year |
2021 |
| Published |
Wireless Personal Communications, 119.0, 3 |
| DOI |
10.1007/s11277-021-08339-w |
| Abstract |
Nowadays, next-generation networks such as the Internet of Things (IoT) and 6G are played a vital role in providing an intelligent environment. The development of technologies helps to create smart city applications like the healthcare system, smart industry, and smart water plan, etc. Any user accesses the developed applications; at the time, security, privacy, and confidentiality arechallenging to manage. So, this paper introduces the blockchain-defined networks with a grey wolf optimized modular neural network approach for managing the smart environment security. During this process, construction, translation, and application layers are created, in which user authenticated based blocks are designed to handle the security and privacy property. Then the optimized neural network is applied to maintain the latency and computational resource utilization in IoT enabled smart applications. Then the efficiency of the system is evaluated using simulation results, in which system ensures low latency, high security (99.12%) compared to the multi-layer perceptron, and deep learning networks. |
| Author Keywords |
Internet of things (IoT); Smart city; Blockchain defined networks (BDN) with grey wolf optimized modular neural network (GWMNN); Security and privacy |
| Index Keywords |
Index Keywords |
| Document Type |
Other |
| Open Access |
Open Access |
| Source |
Science Citation Index Expanded (SCI-EXPANDED) |
| EID |
WOS:000628074300003 |
| WoS Category |
Telecommunications |
| Research Area |
Telecommunications |
| PDF |
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