Abstract
Intrusion detection system is an important part of network security defense technology, and an intrusion detection system is proposed to improve support vector machine. Analysis of support vector machine (SVM) algorithm, simulated annealing algorithm is proposed to optimize the parameters of the support vector machine (SVM), reduce the non-response rates and the rate of false positives, intrusion detection system design and simulation experimental results show that support vector machine (SVM) based on simulated annealing algorithm of intrusion detection performance than for improving intrusion detection.
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Acknowledgements
The youth innovation talent training program of the general undergraduate colleges and universities in Heilongjiang Province, UNPYSCT-2017104.
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Xin, M. (2019). An Improved Support Vector Machine of Intrusion Detection System. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018. ATCI 2018. Advances in Intelligent Systems and Computing, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-319-98776-7_91
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DOI: https://doi.org/10.1007/978-3-319-98776-7_91
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