A pre-signed response method based on online certificate status protocol request prediction. Issue 8 (3rd August 2022)

• Record Type: Journal Article
• Authors: Chen, Chi-Hua; Liu, Genggeng; Wei, Yu-Chih; Li, Zuoyong; Lin, Bon-Yeh
• Is Part Of: Enterprise information systems. Volume 16:Issue 8/9(2022)
• Publication Date: 2022-08-03
• Subjects: Online certificate status protocol -- data clustering -- request prediction -- pre-signed response; Information storage and retrieval systems -- Periodicals; Management information systems -- Periodicals; Electronic commerce -- Periodicals; 658.4038011
• DOI: 10.1080/17517575.2021.1986861
• Languages: English
• ISSNs: 1751-7575

Abstract

ABSTRACT: This research proposes a pre-signed response method based on online certificate status protocol (OCSP) request prediction. A request prediction method is proposed to analyse and predict potential volumes of certificate signing requests for a given time or period, so that responses to the requests can be generated and pre-signed during off-peak hours for load balancing. In our experiment, the OCSP request data in a certificate centre is collected and analysed for the evaluation of our proposed method. Our results show that the accuracy rate of our proposed method is about 96.17% in the prediction of traffic volumes.