Abstract
The satellite communication network intrusion detection system ensures the security of satellite communication by detecting the illegal intrusion in the satellite network. However, because of the complexity of the satellite network and the expensive communication link, many challenges arise while developing a flexible and effective NIDS (Networking Intrusion Detection System) for unforeseen and unpredictable attacks in satellite network. In this paper we propose a flexible and novel satellite network intrusion detection system framework based on based on deep learning technology. We present the satellite NIDS system constitution, and workflow, and analyze the advantages the means can bring.
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Zhu, J., Wang, C. (2019). Satellite Networking Intrusion Detection System Design Based on Deep Learning Method. In: Liang, Q., Mu, J., Jia, M., Wang, W., Feng, X., Zhang, B. (eds) Communications, Signal Processing, and Systems. CSPS 2017. Lecture Notes in Electrical Engineering, vol 463. Springer, Singapore. https://doi.org/10.1007/978-981-10-6571-2_280
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DOI: https://doi.org/10.1007/978-981-10-6571-2_280
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