# XGB-RF: A Hybrid Machine Learning Approach for IoT Intrusion Detection
## 2 Materials and Methods
### Classifiers
#### 2.4.2 eXtreme Gradient Boosting (XGBoost)
Available online: [[https://docs.broadcom.com/doc/istr-24-2019-en](https://docs.broadcom.com/doc/istr-24-2019-en)]([https://docs.broadcom.com/doc/istr-24-2019-en](https://docs.broadcom.com/doc/istr-24-2019-en)) (accessed on 30 June 2021). * [4] [PERSON] Top Cybersecurity Facts, Figures and Statistics. 2020. Available online: [[https://www.csoonline.com/article/315370/7/top-cybersecurity-facts-figures-and-statistics.html](https://www.csoonline.com/article/315370/7/top-cybersecurity-facts-figures-and-statistics.html)]([https://www.csoonline.com/article/315370/7/top-cybersecurity-facts-figures-and-statistics.html](https://www.csoonline.com/article/315370/7/top-cybersecurity-facts-figures-and-statistics.html)) (accessed on 30 June 2021). * [5] A Perfect Storm: The Security Challenges of Coronavirus Threats and Mass Remote Working. 2020. Available online: [[https://blog.checkpoint.com/2020/04/07/a-perfect-storm-the-security-challenges-of-coronavirus-threats-and-mass-remote-working/](https://blog.checkpoint.com/2020/04/07/a-perfect-storm-the-security-challenges-of-coronavirus-threats-and-mass-remote-working/)]([https://blog.checkpoint.com/2020/04/07/a-perfect-storm-the-security-challenges-of-coronavirus-threats-and-mass-remote-working/](https://blog.checkpoint.com/2020/04/07/a-perfect-storm-the-security-challenges-of-coronavirus-threats-and-mass-remote-working/)) (accessed on 30 June 2021). * [6] [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON] Effective attack detection in internet of medical things smart environment using a deep belief neural network. _IEEE Access_**2020**, _8,_ 77396-77404. [CrossRef]
* [7] [PERSON], [PERSON]; [PERSON]; [PERSON] Multi-Objective Optimization of Home Healthcare with Working-Time Balancing and Care Continuity. _Sustainability_**2021**, _13_, 12431. [CrossRef]
* [8] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] Deep reinforcement learning based transmission policy enforcement and multi-hop routing in QoS aware LoRa IoT networks. _Comput. Commun._**2021**, _183_, 33-50. [CrossRef]
* [9] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON] Two hybrid meta-heuristic algorithms for a dual-channel closed-loop supply chain network design problem in the tire industry under uncertainty. _Adv. Eng. Inform._**2021**, _50_, 101418. [CrossRef]
* [10] [PERSON]; [PERSON]; [PERSON]; [PERSON] Blockchain in supply chain management: A review, bibliometric, and network analysis. _Environ. Sci. Pollut. Res._**2021**, \(5\), 1-15. [CrossRef]
* [11] [PERSON]; [PERSON]; [PERSON]; [PERSON] Fog Assisted 6T3 CH Tri-Layer Network Architecture for Adaptive Scheduling and Energy-Efficient Offloading Using Rank-Based Q-Learning in Smart Industries. _IEEE Sens. J._**2021**, _21_, 25489-25507. [CrossRef]
* [12] [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON]; [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] The evolution of bashlite and mirai iot botnets. In Proceedings of the 2018 IEEE Symposium on Computers and Communications (ISCC), Natal, Brazil, 25-28 June 2018; pp. 00813-00818. * [13] Cisco Annual Internet Report (2018-2023) White Paper. 2020. Available online: [[https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html](https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html)]([https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html](https://www.cisco.com/c/en/us/solutions/collateral/executive-perspectives/annual-internet-report/white-paper-c11-741490.html)) (accessed on 30 June 2021). * [14] [PERSON] [PERSON]; [PERSON] [PERSON]; [PERSON]; [PERSON] Taxonomy and survey of collaborative intrusion detection. _Acm Comput. Surv._**2015**, _47_, 1-33. [CrossRef]
* [15] [PERSON]; [PERSON]; [PERSON] Ultra-lightweight deep packet anomaly detection for Internet of Things devices.