Netinfo Security ›› 2019, Vol. 19 ›› Issue (12): 47-52.doi: 10.3969/j.issn.1671-1122.2019.12.006

Previous Articles     Next Articles

Research on Cascading Failure of Nodes in Distributed Access Control Model

Fangbo CAI(), Jingsha HE, Nafei ZHU, Song HAN   

  1. Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China
  • Received:2019-06-17 Online:2019-12-10 Published:2020-05-11

Abstract:

Access control refers to the means by which the system restricts the user's identity and the predefined policy group to use data resources. Access control is important foundation of system confidentiality, integrity, availability and legitimate use, is one of the key strategies of network security and resource protection, and is also the different authorization access of subject to object itself or its resources according to some control strategies or permissions. With the wide spread of computer networks, new access modes emerge in endlessly, which greatly affects and changes the way people work and live. Under the background of network security, with the explosive growth of Internet users and data, the current way of building data management system by a single center organization faces more challenges. In the distributed access control model, the nodes participating in the access are the sources of making the access control model vulnerable or even losing the access control ability in the access failure transfer mechanism. Based on the theory of complex network cascading model, this paper proposes a security analysis method based on node cascading failure of distributed access control model. This paper designs two kinds of failure modes, selective failure and random failure, to conduct simulation experiment by using the relevant attribute parameters of the nodes in the process of access control. The experimental data demonstrates the effect of different failure modes on the effective node ratio in the access control model.

Key words: access control, access state, cascading failure, effective node ratio

CLC Number: