TY - JOUR
T1 - Security situation assessment for massive MIMO systems for 5G communications
AU - Yang, Shiqi
AU - Yin, Di
AU - Song, Xia
AU - Dong, Xiaoming
AU - Manogaran, Gunasekaran
AU - Mastorakis, George
AU - Mavromoustakis, Constandinos X.
AU - Batalla, Jordi Mongay
PY - 2019/9/1
Y1 - 2019/9/1
N2 - MIMO technology is a key technology of 5G, which is widely used in next-generation scenarios such as heterogeneous networks, millimeter-wave networks, and automotive networks. How to build a large-scale MIMO system security situation assessment model for 5G has become the main topic of current concern. This paper analyzes the situational awareness theory of 5g-oriented MIMO system security. Firstly, based on the theory of MIMO system, the influence of MIMO system on 5G network security and the theory of situation awareness technology, the security situation awareness system model of 5g-oriented large-scale MIMO system is constructed. In the security situation assessment section of the MIMO system, according to the rules of evidence reasoning, of different active attack and passive eavesdropping two kinds of empowerment behavior under different attribute data, and then put the empowerment process of average power and large scale attenuation coefficient, interrupt probability, series, and maintain confidentiality gain data as model inputs, such as implementing MIMO system level of situation assessment. In the security situation prediction part of MIMO system, based on the actual situation level of the system as the criterion, 30 sets of experimental simulation data are used to predict the next moment situation level of the MIMO system. In order to verify the stability and validity of the model, MATLAB is used to simulate the experiment. The results show that the mean square error RMSE of different iterations is kept below 0.02, and the TSQ values of both sides are kept below 0.16. The overall prediction effect of the model was good, indicating that the system could provide effective decision support for 5G MIMO security situation prediction
AB - MIMO technology is a key technology of 5G, which is widely used in next-generation scenarios such as heterogeneous networks, millimeter-wave networks, and automotive networks. How to build a large-scale MIMO system security situation assessment model for 5G has become the main topic of current concern. This paper analyzes the situational awareness theory of 5g-oriented MIMO system security. Firstly, based on the theory of MIMO system, the influence of MIMO system on 5G network security and the theory of situation awareness technology, the security situation awareness system model of 5g-oriented large-scale MIMO system is constructed. In the security situation assessment section of the MIMO system, according to the rules of evidence reasoning, of different active attack and passive eavesdropping two kinds of empowerment behavior under different attribute data, and then put the empowerment process of average power and large scale attenuation coefficient, interrupt probability, series, and maintain confidentiality gain data as model inputs, such as implementing MIMO system level of situation assessment. In the security situation prediction part of MIMO system, based on the actual situation level of the system as the criterion, 30 sets of experimental simulation data are used to predict the next moment situation level of the MIMO system. In order to verify the stability and validity of the model, MATLAB is used to simulate the experiment. The results show that the mean square error RMSE of different iterations is kept below 0.02, and the TSQ values of both sides are kept below 0.16. The overall prediction effect of the model was good, indicating that the system could provide effective decision support for 5G MIMO security situation prediction
KW - 5G network security
KW - ER rule
KW - MIMO technology
KW - Situation awareness technology
UR - http://www.scopus.com/inward/record.url?scp=85063331478&partnerID=8YFLogxK
U2 - 10.1016/j.future.2019.03.036
DO - 10.1016/j.future.2019.03.036
M3 - Article
AN - SCOPUS:85063331478
SN - 0167-739X
VL - 98
SP - 25
EP - 34
JO - Future Generation Computer Systems
JF - Future Generation Computer Systems
ER -