Space-Integrated-Ground Information Networks ›› 2021, Vol. 2 ›› Issue (3): 66-75.doi: 10.11959/j.issn.2096-8930.2021032

Special Issue: 专题:天地一体化信息网络安全防护技术

• Special Issue: Security Protection Technology for Space-Integrated-Ground Information Network • Previous Articles     Next Articles

User Behavior Traffi c Replay Technology for Space-IntegratedGround Information Network Based on Profi le Analyzing

Qingsong XUE, Xiaofeng WANG   

  1. School of Artifi cial Intelligence and Computer Science, Jiangnan University, Wuxi 214122, China
  • Revised:2021-08-23 Online:2021-09-20 Published:2021-09-01
  • Supported by:
    The National Natural Science Foundation of China(61972182);The National Key R&D Program of China(2016YFB0800305)

Abstract:

Faced the needs of user behavior emulation of the space-integrated-ground information network with complex behaviors and diverse protocols, an architecture based on cloud computing and virtualization technologies for replaying user behavior traffi c in the spaceintegrated-ground information network was designed.Furthermore, a user behavior traffi c automatic analysis and traffi c profi le generation technology based on deep packet inspection, and a user behavior traffi c replay technology of the space-integrated-ground information network based on traffi c profi le were researched, to achieve unifi ed, automated, and realistic simulation of miscellaneous kinds of user behavior traffi c.An emulation scenario of a space-integrated-ground information network with 6 space-based backbone network satellites and 66 space-based access network satellites was constructed.The experimental verifi cation of protocol traffi c profi le generation and traffi c replay of the broadband user behavior and narrow-band user behavior showed that the emulation of diversifi ed user interaction behaviors could provide eff ective support for the emulation of the space-integrated-ground information network.

Key words: space-integrated-ground information network, user behavior emulation, traffi c replay, traffi c profi le, cloud computing

CLC Number: 

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