The traditional credibility-based security performance analysis method of physical layer transmission link for millimeter wave communication system applies single analytic hierarchy process and the built evaluation index system has limitation. To address this problem, a security performance evaluation method for physical layer link of millimeter wave communication system based on fuzzy AHP is proposed in this paper. Combined with fuzzy evaluation and analytic hierarchy process, the safety performance evaluation index system of physical layer transmission link for millimeter wave communication system is built from 4 aspects: asset, threat, vulnerability, and security. Experimental results show that the proposed method can obtain valuable evaluation results, and it is reliable and accurate for analyzing the security performance of the physical layer transmission link for millimeter wave communication system.
WangC. and WangH.M., Physical layer security in millimeter wave cellular networks, IEEE Transactions on Wireless Communications15(8) (2016), 5569–5585.
2.
JuY., WangH.M., ZhengT.X., et al., Secure transmissions in millimeter wave systems, IEEE Transactions on Communications65(5) (2017), 2114–2127.
3.
ZhuY., WangL., WongK.K., et al., Secure communications in millimeter wave ad hoc networks, IEEE Transactions on Wireless Communications16(5) (2017), 3205–3217.
4.
AlotaibiN.N. and HamdiK.A., Switched phased-array transmission architecture for secure millimeter-wave wireless communication, IEEE Transactions on Communications64(3) (2016), 1303–1312.
5.
TorrieriD., TalaricoS. and ValentiM.C., Analysis of a frequency-hopping millimeter-wave cellular uplink, IEEE Transactions on Wireless Communications15(10) (2016), 7089–7098.
6.
MitsolidouC., VagionasC., RamantasK., et al., Digital optical physical-layer network coding for mm-wave radio-over-fiber signals in fiber-wireless networks, Journal of Lightwave Technology34(20) (2016), 4765–4771.
7.
EstevezC. and Azurdia-MezaC.A., Bottom-layer solutions for 60GHz millimeter-wave wireless networks: Modulation and multiplexing acces techniques, Telecommunication Systems61(4) (2016), 755–771.
8.
ParkH., LeeC., YangS.L., et al., Performance analysis for contention adaptation of M2M devices with directional antennas, Journal of Supercomputing72(9) (2016), 3387–3408.
9.
OzakiS., MakiyamaK., OhkiT., et al., Millimeter-wave GaN HEMTs with cavity-gate structure using MSQ-based inter-layer dielectric, IEEE Transactions on Semiconductor Manufacturing29(4) (2016), 370–375.
10.
Shokri-GhadikolaeiH., FischioneC., PopovskiP., et al., Design aspects of short-range millimeter-wave networks: A MAC layer perspective, IEEE Network30(3) (2016), 88–96.
11.
QiaoJ., ShenX., MarkJ.W., et al., MAC-layer concurrent beamforming protocol for indoor millimeter-wave networks, IEEE Transactions on Vehicular Technology64(1) (2015), 327–338.
12.
ChenY.-J. and WangD., Research on channel estimation for cooperative communication system, Computer Simulation32(8) (2015), 217–220.
13.
DuttaS., MezzavillaM., FordR., et al., Frame structure design and analysis for millimeter wave cellular systems, IEEE Transactions on Wireless Communications16(3) (2017), 1508–1522.
14.
SakaiD., OkaT., TanakaK., et al., Millimeter-wave molecular line observations of the tornado nebula, Astrophysical Journal791(1) (2014), 2837–2854.
15.
WangP., LiY., SongL., et al., Multi-gigabit millimeter wave wireless communications for 5G: From fixed access to cellular networks, IEEE Communications Magazine53(1) (2015), 168–178.
16.
NiuY., LiY., ChenM., et al., A cross-layer design for a software-defined millimeter-wave mobile broadband system, IEEE Communications Magazine54(2) (2016), 124–130.
17.
YuanH. and LiJ.-G., Simulation on encryption algorithm for communication under public key cryptosystems, Computer Simulation32(3) (2015), 331–334.
18.
KuB.W., HanD.G. and YongS.C., Efficient beam-training technique for millimeter-wave cellular communications, Etri Journal38(1) (2016), 81–89.
19.
PericM.V., PericD.B., TodorovicB.M., et al., Dynamic rain attenuation model for millimeter wave network analysis, IEEE Transactions on Wireless Communications16(1) (2017), 441–450.
20.
ShafinR., LiuL., ZhangJ., et al., DoA estimation and capacity analysis for 3-D millimeter wave massive-MIMO/FD-MIMO OFDM systems, IEEE Transactions on Wireless Communications15(10) (2016), 6963–6978.
21.
PengW., LiD., ZhangM., GeS., MoB., LiS. and OhkoshiM., Characteristics of antibacterial molecular activities in poplar wood extractives, Saudi Journal of Biological Sciences24(2) (2017), 399–404.
22.
YangY., ZhongM., YaoH., YuF., FuX. and PostolacheO., Internet of things for smart ports: Technologies and challenges, IEEE Instrumentation & Measurement Magazine21(1) (2018), 34–43.
23.
AladadiW.M., MoustafaM.F. and AlrumanS.A., Genetic variability among seven cultivars of date palm (Phoenix dactylifera L.) based on embryonic DNA of old fruit, Kuwait Journal of Science45(1) (2018), 108–114.
24.
KalaivaniN., El-MaghrabiA.I., SaravanakumarD.and Sai Sundara KrishnanG., Operation-compact spaces, regular spaces and normal spaces with –open sets in topological spaces, Journal of Interdisciplinary Mathematics20(2) (2017), 427–441.
25.
Ben TaherR., NaassiN. and RachidiM., On the leslie matrices, fibonacci sequences and population dynamics, Journal of Discrete Mathematical Sciences and Cryptography20(2) (2017), 565–594.
26.
BonannoG., D’AguiG. and SciammettaA., One-dimensional nonlinear boundary value problems with variable exponent, Discrete and Continuous Dynamical Systems-Series S11(2SI) (2018), 179–191.
