IOT security analysis of BDT-SVM multi-classification algorithm

References

• Hu C, Kong S, Wang R, et al. Identification of migratory insects from their physical features using a decision-tree support vector machine and its application to radar entomology. Sci Rep. 2018;8(1):5449. doi: 10.1038/s41598-018-23825-1
   PubMedGoogle Scholar
• Wu Q, Zhong R, Zhao W, et al. A comparison of pixel-based decision tree and object-based support vector machine methods for land-cover classification based on aerial images and airborne lidar data. Int J Remote Sens. 2017;38(23):7176–7195. doi: 10.1080/01431161.2017.1371864
   Web of Science ®Google Scholar
• Shu J, Liu S, Liu L, et al. Research on link quality estimation mechanism for wireless sensor networks based on support vector machine∗. Chin J Electron. 2017;26(2):377–384. doi: 10.1049/cje.2017.01.013
   Web of Science ®Google Scholar
• Yu O, Ishida H, Nakajima TY, et al. Preliminary verification for application of a support vector machine-based cloud detection method to GOSAT-2 CAI-2. Atmos Meas Tech. 2018;11(5):2863–2878. doi: 10.5194/amt-11-2863-2018
   Web of Science ®Google Scholar
• Sonmez R, S?zgen B. A support vector machine method for bid/no bid decision making. J CivEng Manag. 2017;23(5):641–649. doi: 10.3846/13923730.2017.1281836
   Web of Science ®Google Scholar
• Raczko E, Zagajewski B. Comparison of support vector machine, random forest and neural network classifiers for tree species classification on airborne hyperspectral APEX images. Eur J Remote Sens. 2017;50(1):144–154. doi: 10.1080/22797254.2017.1299557
   Web of Science ®Google Scholar
• Gui G, Pan H, Lin Z, et al. Data-driven support vector machine with optimization techniques for structural health monitoring and damage detection. Ksce J Civ Eng. 2017;21(2):523–534. doi: 10.1007/s12205-017-1518-5
   Web of Science ®Google Scholar
• Maulik U, Chakraborty D. Remote sensing Image classification: a survey of support-vector-machine-based advanced techniques. IEEE Geosci Remote Sens Mag. 2017;5(1):33–52. doi: 10.1109/MGRS.2016.2641240
   Web of Science ®Google Scholar
• Singh D, Roy D, Mohan CK. DiP-SVM: distribution preserving kernel support vector machine for big data. IEEE T Big Data. 2017;3(1):79–90. doi: 10.1109/TBDATA.2016.2646700
   Web of Science ®Google Scholar
• Das SP, Padhy S. A novel hybrid model using teaching–learning-based optimization and a support vector machine for commodity futures index forecasting. Int J Mach Learn Cybern. 2018;9(1):97–111. doi: 10.1007/s13042-015-0359-0
   Web of Science ®Google Scholar
• Yong H. Finger spelling recognition using depth information and support vector machine. Multimed Tools Appl. 2018;77(2):1–15.
   Google Scholar
• Siryani J, Tanju B, Eveleigh T. A machine learning decision-support system improves the Internet of Things’ smart meter operations. IEEE Internet Things J. 2017;4(4):1056–1066. doi: 10.1109/JIOT.2017.2722358
   Web of Science ®Google Scholar
• Ning LI, Wang L, Jia M. Rockburst prediction based on rough set theory and support vector machine. J Cent South Univ. 2017;48(5):1268–1275.
   Google Scholar
• Zhai X-P, Meng T, Wang T. SVM spectrum sensing based on data pre-processing with log function. J Appl Sci. 2017;35(6):726–734.
   Google Scholar
• Zhu H, Liu X, Lu R, et al. Efficient and privacy-preserving online medical pre-diagnosis framework using nonlinear SVM. IEEE J Biomed Health Inform. 2017;21(3):838–850. doi: 10.1109/JBHI.2016.2548248
   PubMed Web of Science ®Google Scholar
• Zhang P, Shu S, Zhou M. An online fault detection model and strategies based on SVM-grid in clouds. IEEE/CAA J Autom Sin. 2018;5(2):445–456. doi: 10.1109/JAS.2017.7510817
   Google Scholar
• Zhu F, Wei J. Localization algorithm for large scale wireless sensor networks based on Fast-SVM. Wirel Pers Commun. 2017;95(3):1–17. doi: 10.1007/s11277-016-3665-2
   Web of Science ®Google Scholar
• Lee S, Yoon Y-J, Lee J-E, et al. Human–vehicle classification using feature-based SVM in 77-GHz automotive FMCW radar. Iet Radar Sonar Nav. 2017;11(10):1589–1596. doi: 10.1049/iet-rsn.2017.0126
   Web of Science ®Google Scholar
• Zhu L, Liu H, Li Z, et al. An efficient multi-feature SVM solver for complex event detection. Multimed Tools Appl. 2017;77(8):1–24.
   Google Scholar
• Omer MZ, Gao H, Mustafa N. Privacy-preserving of SVM over vertically partitioned with imputing missing data. Distrib Parallel Dat. 2017;35(1):1–20. doi: 10.1007/s10619-016-7190-9
   Google Scholar
• Celik ZB, Fernandes E, Pauley E, et al. Program analysis of commodity IoT applications for security and privacy: Challenges and opportunities. ACM Comput Surv (CSUR). 2019;52(4):1–30. doi: 10.1145/3333501
   Web of Science ®Google Scholar