TY - JOUR
T1 - Research on Network Risk Evaluation Method Based on a Differential Manifold
AU - Zhao, Xiaolin
AU - Zhang, Yiman
AU - Xue, Jingfeng
AU - Shan, Chun
AU - Liu, Zhen
N1 - Publisher Copyright:
© 2013 IEEE.
PY - 2020
Y1 - 2020
N2 - With the rapid development of networks, network security is a serious problem. To evaluate a network accurately, this paper proposes a network risk evaluation method based on a differential manifold (DM) and research on traditional methods. The DM divides the network risk evaluation into network structure risk and network behavior risk evaluations. Network structure risk evaluates the network identity, and network behavior risk evaluates the attack and defense of the network. Network assets and asset vulnerabilities characterize a network, and the analytic hierarchy process (AHP) and the Common Vulnerability Scoring System (CVSS) are combined to evaluate the network identity. Network behavior causes high-dimensional indicator changes, and DMs are used to measure network behavior. To examine the effectiveness and accuracy of DMs, two experiments were performed. The experimental results show that the DM method is valid and accurate for evaluating network risk.
AB - With the rapid development of networks, network security is a serious problem. To evaluate a network accurately, this paper proposes a network risk evaluation method based on a differential manifold (DM) and research on traditional methods. The DM divides the network risk evaluation into network structure risk and network behavior risk evaluations. Network structure risk evaluates the network identity, and network behavior risk evaluates the attack and defense of the network. Network assets and asset vulnerabilities characterize a network, and the analytic hierarchy process (AHP) and the Common Vulnerability Scoring System (CVSS) are combined to evaluate the network identity. Network behavior causes high-dimensional indicator changes, and DMs are used to measure network behavior. To examine the effectiveness and accuracy of DMs, two experiments were performed. The experimental results show that the DM method is valid and accurate for evaluating network risk.
KW - Network risk evaluation
KW - Riemannian manifold
KW - analytic hierarchy process
KW - common vulnerability scoring system
KW - differential manifold
UR - http://www.scopus.com/inward/record.url?scp=85084114136&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2020.2985547
DO - 10.1109/ACCESS.2020.2985547
M3 - Article
AN - SCOPUS:85084114136
SN - 2169-3536
VL - 8
SP - 66315
EP - 66326
JO - IEEE Access
JF - IEEE Access
M1 - 9056505
ER -