Yulu QI, Rong JIANG, Xing RONG, et al. Attack Analysis Framework of Space-Integrated-Ground Information Network Based on Cybersecurity Knowledge Graph[J]. Space-integrated-ground information networks, 2021, 2(3): 57-65.
DOI:
Yulu QI, Rong JIANG, Xing RONG, et al. Attack Analysis Framework of Space-Integrated-Ground Information Network Based on Cybersecurity Knowledge Graph[J]. Space-integrated-ground information networks, 2021, 2(3): 57-65. DOI: 10.11959/j.issn.2096-8930.2021031.
Attack Analysis Framework of Space-Integrated-Ground Information Network Based on Cybersecurity Knowledge Graph
the space-integrated-ground information network(SGIN) is confronted with more complex and variable security threats.Compared with the internet
satellite network has a lot of diff erences
such as highly dynamic changes of topology
transfer protocol and data format.In terms of these questions
it was necessary to integrated the rule of satellite network attacks into the rules of APT attacks
developed the cybersecurity knowledge graph and the attack rules library to analyzed the attacks of the SGIN.The pattern of attack rules was expressed based on time-space data model
which was used to completed the attack chain when there were non-continuous missed data or false positives data.The attack analysis framework proposed in this paper could accurately perceived the security status of the SGIN in real time
JI X S , LIANG H , HU H C . New thoughts on security technologies for space-ground integration information network [J ] . Telecommunications Science , 2017 , 33 ( 12 ): 24 - 35 .
LI F H , YIN L H , WU W , et al . Research status and development trends of security assurance for space-ground integration information network [J ] . Journal on Communications , 2016 , 37 ( 11 ): 156 - 168 .
KIWIA D , DEHGHANTANHA A , CHOO K K R , et al . A cyber kill chain based taxonomy of banking Trojans for evolutionary computational intelligence [J ] . Journal of Computational Science , 2018 , 27 : 394 - 409 .
BRYANT B D , SAIEDIAN H . A novel kill-chain framework for remote security log analysis with SIEM software [J ] . Computers &Security , 2017 , 67 : 198 - 210 .
QI G L , GAO H , WU T X . The research advances of knowledge graph [J ] . Technology Intelligence Engineering , 2017 , 3 ( 1 ): 4 - 25 .
PUJARA J , MIAO H , GETOOR L , et al . Knowledge graph identification [M ] // Advanced Information Systems Engineering . Berlin,Heidelberg : Springer Berlin Heidelberg , 2013 : 542 - 557 .
DETTMERS T , MINERVINI P , STENETORP P , et al . Convolutional 2D knowledge graph embeddings [J ] . arXiv:1707.01476v6 . 2017 .
WANG Z , ZHANG J , FENG J , et al . Knowledge graph embedding by translating on hyperplanes [C ] // Twenty-eighth Aaai Conference on Artificial Intelligence . AAAI Press , 2014 .
LIU X W , WANG H Q , LYU H W , et al . Fusion-based cognitive awareness-control model for network security situation [J ] . Journal of Software , 2016 , 27 ( 8 ): 2099 - 2114 .
SINGH M , BHANDARI P . Building a framework for network security situation awareness [C ] // Proceedings of 2016 3rd International Conference on Computing for Sustainable Global Development(INDIACom) . Piscataway:IEEE Press , 2016 : 2578 - 2583 .
XU G Q , CAO Y , REN Y Y , et al . Network security situation awareness based on semantic ontology and user-defined rules for Internet of Things [J ] . IEEE Access , 2017 ( 5 ): 21046 - 21056 .
JIA Y , QI Y L , SHANG H J , et al . A practical approach to constructing a knowledge graph for cybersecurity [J ] . Engineering , 2018 , 4 ( 1 ): 53 - 60 .
LI Q , ZHANG X , ZHANG P K , et al . Improved CFSFDP algorithm based on spark framework [J ] . Electronic Science and Technology , 2019 , 32 ( 5 ): 38 - 43 , 54 .