| Abstrakt: |
In the contemporary technology context, several physical things may be used to support human activities. The Internet of Things is a cutting-edge technology solution that is used to link physical items with the digital world via a range of networks as well as communication technologies. The Internet of Things benefits from the smart settings in which mobile ad hoc networks (MANET) operate, making it more appealing to users and financially viable. Wireless sensors with MANETs may be integrated using the Internet of Things to develop new MANET-IoT devices and IT-based networks. Such a strategy lowers network deployment costs while increasing user mobility. That does, however, also bring up fresh, challenging issues about networking concerns. We introduced a new DAG-Blockchain architecture for MANET-IoT security in this study. The Multi-Factor PUF identification technique protects the network. Network topology is separated into clusters with all allowed nodes. We introduced the Secure Trust-based Dijikstra's Method with numerous criteria for secure data transfer. We presented a Bi-Directional GRU for deep packet analysis. Deep packet inspection is used to identify intrusions, which are then blocked by a blocking mechanism. The suggested method achieved increased efficiency in the packet delivery ratio, productivity, time analysis, detection accuracy, and security level using the combination of algorithms. The numerical findings from the simulation and analysis of the proposed DAG-IDS in the WSN-IoT network reveal significant improvements across various performance metrics. Specifically, the DAG-IDS demonstrates enhanced network lifetime, achieving up to 220 cycles compared to 100 cycles in the BLOCKCHAIN method. The analysis also highlights superior packet delivery ratios (PDR) exceeding 90%, reduced delays, and efficient throughput, showcasing the effectiveness of the proposed approach in optimizing the network's quality of service, energy efficiency, and security. [ABSTRACT FROM AUTHOR] |
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