A Secure Intrusion Detection Platform Using Blockchain and Radial Basis Function Neural Networks for Internet of Drones

【Author】 Heidari, Arash; Navimipour, Nima Jafari; Unal, Mehmet

【Source】IEEE INTERNET OF THINGS JOURNAL

【影响因子】10.238

【Abstract】The Internet of Drones (IoD) is built on the Internet of Things (IoT) by replacing "Things" with "Drones" while retaining incomparable features. Because of its vital applications, IoD technologies have attracted much attention in recent years. Nevertheless, gaining the necessary degree of public acceptability of IoD without demonstrating safety and security for human life is exceedingly difficult. In addition, intrusion detection systems (IDSs) in IoD confront several obstacles because of the dynamic network architecture, particularly in balancing detection accuracy and efficiency. To increase the performance of the IoD network, we proposed a blockchain-based radial basis function neural networks (RBFNNs) model in this article. The proposed method can improve data integrity and storage for smart decision-making across different IoDs. We discussed the usage of blockchain to create decentralized predictive analytics and a model for effectively applying and sharing deep learning (DL) methods in a decentralized fashion. We also assessed the model using a variety of data sets to demonstrate the viability and efficacy of implementing the blockchain-based DL technique in IoD contexts. The findings showed that the suggested model is an excellent option for developing classifiers while adhering to the constraints placed by network intrusion detection. Furthermore, the proposed model can outperform the cutting-edge methods in terms of specificity, F1, recall, precision, and accuracy. [Heidari, Arash] Islamic Azad Univ, Dept Comp Engn, Tabriz Branch, Tabriz 5157944533, Iran; [Navimipour, Nima Jafari] Kadir Has Univ, Fac Engn & Nat Sci, Dept Comp Engn, TR-34083 Istanbul, Turkiye; [Unal, Mehmet] Nisantasi Univ, Dept Comp Engn, TR-34485 Istanbul, Turkiye Islamic Azad University; Kadir Has University; Nisantasi University Navimipour, N (通讯作者)，Kadir Has Univ, Fac Engn & Nat Sci, Dept Comp Engn, TR-34083 Istanbul, Turkiye. Arash_heidari@ieee.org; Navimipour@ieee.org; mehmet.unal@nisantasi.edu.tr Heidari, Arash/0000-0003-4279-8551 59 8 8 0 0 IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC PISCATAWAY 445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA 2327-4662 IEEE INTERNET THINGS IEEE Internet Things J. MAY 15 2023 10 10 8445 8454 10.1109/JIOT.2023.3237661 http://dx.doi.org/10.1109/JIOT.2023.3237661 10 Computer Science, Information Systems; Engineering, Electrical & Electronic; Telecommunications Science Citation Index Expanded (SCI-EXPANDED) Computer Science; Engineering; Telecommunications F4ZV0 2023-06-24 WOS:000982455700010

【Keywords】Drones; Blockchains; Security; 5G mobile communication; Internet of Things; Computer architecture; Adaptation models; Blockchain; intrusion detection system (IDS); Internet of Drones (IoD); security

【发表时间】2023 15-May

【收录时间】2023-06-29

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