An improved malicious code intrusion detection method based on target tree for space information network

Autor: Chundong She, Yaqi Ma, Jingchao Wang, Luting Jia
Jazyk: angličtina
Rok vydání: 2017
Předmět:
Zdroj: International Journal of Distributed Sensor Networks, Vol 13 (2017)
Druh dokumentu: article
ISSN: 1550-1477
15501477
DOI: 10.1177/1550147717747847
Popis: In this article, an improved malicious code intrusion detection method is presented based on the target tree for space information network, so as to adapt to the characteristics of space information network and the security requirements. The satellite system could realize the quick determination of the malicious code attacks formed by joint cooperation behaviors step by step, with the help of attack roadmap analysis at ground and malicious code behavior analyzing process at satellite. The simulation results show that the proposed method has the advantages of high detection rate, low satellite resource consumption, low latency, and in-depth analysis to those malicious code behaviors. It is demonstrated that the proposed detection method of malicious code is suitable for the space information network.
Databáze: Directory of Open Access Journals