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Secure IoT Architecture in Mobile Ad-hoc Network Against Malicious Attacks Using Blockchain-based BATMAN |
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| รหัสดีโอไอ | |
| Creator | Neha Khandelwal, Shashikant Gupta |
| Title | Secure IoT Architecture in Mobile Ad-hoc Network Against Malicious Attacks Using Blockchain-based BATMAN |
| Contributor | - |
| Publisher | TuEngr Group |
| Publication Year | 2565 |
| Journal Title | International Transaction Journal of Engineering, Management, & Applied Sciences & Technologies |
| Journal Vol. | 13 |
| Journal No. | 6 |
| Page no. | 13A6R: 1-15 |
| Keyword | Internet of things, Wireless Network, Byzantine fault tolerance, Blockchain technology, Trust management. |
| URL Website | http://TuEngr.com/Vol13-6.html |
| Website title | ITJEMAST V13(6) 2022 @ TuEngr.com |
| ISSN | 2228-9860 |
| Abstract | It is possible to build a decentralised wireless network using Internet of Things (IoT) sensors and other IoT-based devices. Wireless connections allow all network nodes to be moved around at will. They can connect and construct a network without current network infrastructure. Using blockchain technology in a wireless ad-hoc context, an IoT-based MANET is a fresh research topic. The key challenge for ad-hoc blockchain applications is to cope with the high computational cost of block validation while keeping blockchain features and incorporating nodes. This article presents a blockchain-based mobile network as a potential application of the ensemble approach, which has been covered in other articles. The suggested technique for MANETS routing uses the Byzantine Fault Tolerance (BFT) protocol. It is possible to integrate Blockchain into an IoT-based MANET (BATMAN) using advanced mobile ad-hoc networking (MANET) (BATMAN). Extended-BATMAN (E-BATMAN) is a method of integrating blockchain technology into the BATMAN protocol using IoT-based MANETs. Blockchain is a safe, distributed, and trustworthy platform, with each node performing its security procedures. Four characteristics are used to evaluate the proposed ensemble method: pdr, average e2e latency, network throughput, and algorithm vitality use. All of these components outperform the existing traditional techniques using the recommended ensemble approach. |
