Stochastic Nonlinear Analysis of Internet of Things Network Performance and Security

Abstract: Aiming at the problem of poor effect of traditional Internet of Things network performance and security analysis methods, the research uses support vector machine for Internet of Things network security situation assessment. It also introduces the grey wolf optimization algorithm improved by genetic algorithm to optimize it, and designs a stochastic nonlinear integration of Internet of Things network performance algorithm. The results revealed that the mean absolute error, root mean square error, and mean absolute percentage error of the integrated algorithm were 0.0064, 0.041, and 0.0013, respectively, in the performance test. It was significantly lower than that of the other four algorithms, which proved that its prediction accuracy was higher. The recall of the integrated algorithm was 93.7%, and the F1 value was 0.94, which was significantly higher than the other comparative algorithms, proving its better comprehensive performance. In the analysis of practical application effect, when access control was performed by the integrated algorithm, the predicted curve basically overlapped with the actual curve, which proved its better fitting performance. The communication overhead of the integrated algorithm was 81.3 KB, which was significantly lower than the other two calculations. The average communication time of the integrated algorithm was 3.59 s, which was lower than the other two algorithms, proving that it can effectively reduce the communication cost and delay. The integrated algorithm can effectively improve the performance of Internet of Things network security situation assessment, which provides reliable technical support for the security protection of Internet of Things network and has important practical application value.

Junzhou Li and Feixian Sun. “Stochastic Nonlinear Analysis of Internet of Things Network Performance and Security”. International Journal of Advanced Computer Science and Applications (IJACSA) 16.4 (2025). http://dx.doi.org/10.14569/IJACSA.2025.0160447

@article{Li2025,
title = {Stochastic Nonlinear Analysis of Internet of Things Network Performance and Security},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2025.0160447},
url = {http://dx.doi.org/10.14569/IJACSA.2025.0160447},
year = {2025},
publisher = {The Science and Information Organization},
volume = {16},
number = {4},
author = {Junzhou Li and Feixian Sun}
}