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Satellite Networking Intrusion Detection System Design Based on Deep Learning Method

  • Jianlong Zhu
  • ChunFeng Wang
Conference paper
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 463)

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.

Keywords

Network intrusion detection Satellite network Deep learning 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.Qian Xuesen Laboratory of Space TechnologyChina Academy of Space TechnologyBeijingChina

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