Name
Abstract | ||
|---|---|---|
In this paper, we present a new security risk assessment method of website based on generalized fuzzy numbers. First, we present a new similarity measure between generalized fuzzy numbers. We also prove some properties of the proposed similarity measure and make an experiment to use 18 sets of generalized fuzzy numbers to compare the experimental results of the proposed method with the existing similarity measures. The proposed method can overcome the drawbacks of the existing similarity measures. Based on this method, we present a new security risk assessment algorithm to assess the website security risk. In the proposed method, the possibility of threat occurrence and the loss of the result led by the threat are selected as parameters to compute security risk, where the values of the parameters are represented by generalized fuzzy numbers. The proposed method provides a useful way to achieve the website security risk assessment. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.4304/jcp.8.1.136-145 | JOURNAL OF COMPUTERS |
Keywords | Field | DocType |
website, security risk assessment, generalized fuzzy numbers, similarity measures | Data mining,Similarity measure,Computer science,Risk assessment,Artificial intelligence,Web application security,Fuzzy number,Machine learning | Journal |
Volume | Issue | ISSN |
8 | 1 | 1796-203X |
Citations | PageRank | References |
4 | 0.42 | 6 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Wen Jiang | 1 | 85 | 9.44 |
| Xin Fan | 2 | 776 | 104.55 |
| Dejie Duanmu | 3 | 4 | 0.42 |
| Yong Deng | 4 | 1248 | 83.34 |