Title: Research on distributed vulnerability scanning technology based on web cross-domain authentication architecture

Authors: Qi Ding; Guangming Dai

Addresses: Foshan Nanhai District Information Technology School, Foshan, 528225, China ' China University of Geosciences Wuhan, 430074, China

Abstract: In order to carry out vulnerability detection to improve the security of the network, a distributed vulnerability scanning technology under the Web cross-domain authentication architecture based on physical link reconstruction and association spectrum feature extraction is proposed. Firstly, the distributed network vulnerability information sampling model is constructed. Then, the virtual reconstruction model of distributed network vulnerability is established. The distributed network transmission channel equalisation design under the Web cross-domain authentication architecture, and the hybrid compression perception of distributed vulnerabilities are carried out. The validity features of distributed network vulnerability information are extracted by correlation spectrum feature extraction, and the distributed vulnerability scanning under the Web cross-domain authentication architecture is realised according to the results of feature extraction. The simulation results show that the method proposed in this paper has high accuracy and scanning accuracy, and improves the distributed vulnerability monitoring ability under the Web cross-domain authentication architecture.

Keywords: web cross-domain authentication; distributed vulnerability; scanning; channel balancing; network load; physical link reconstruction; association spectrum feature extraction.

DOI: 10.1504/IJAACS.2020.10031367

International Journal of Autonomous and Adaptive Communications Systems, 2020 Vol.13 No.4, pp.342 - 353

Received: 14 Oct 2019
Accepted: 07 Jan 2020

Published online: 12 Jan 2021 *

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