Name
Abstract | ||
|---|---|---|
One of the hardest tasks of a certification infrastructure is to manage revocation. This process consists in collecting and making the revocation status of certificates available to users. Research on this topic has focused on the trade-offs that different revocation mechanisms offer. Much less effort has been conducted to understand and model real-world revocation processes. For this reason, in this paper, we present a novel analysis of real-world collected revocation data and we propose a revocation prediction model. The model uses an autoregressive integrated moving average model. Our prediction model enables certification authorities to forecast the number of revoked certificates in short term. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/s10115-014-0735-1 | Knowl. Inf. Syst. |
Keywords | Field | DocType |
privacy,pki,mechanism,arima,crl,certification,certificate revocation | Public key infrastructure,Data mining,Revocation list,X.509,Computer science,Computer security,Revocation,Autoregressive integrated moving average,Certification,Public-key cryptography | Journal |
Volume | Issue | ISSN |
43 | 2 | 0219-3116 |
Citations | PageRank | References |
1 | 0.35 | 23 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Carlos Gañán | 1 | 70 | 8.86 |
| Jorge Mata-Díaz | 2 | 101 | 13.33 |
| Jose L. Muñoz | 3 | 287 | 25.68 |
| Oscar Esparza | 4 | 284 | 26.58 |
| Juanjo Alins | 5 | 78 | 10.45 |