Research Article
Applying Catastrophe Theory for Network Anomaly Detection in Cloud Computing Traffic
Table 4
Comparison of processing time in calculating randomness for each day in train weeks.
| Weeks include train data▶ | W1 | W1 | W1 | W1 | W1 | W3 | W3 | W3 | W3 | W3 |
| Execution time of Xiong et al. Randomness algorithm [sec] | 0.091 | 0.068 | 0.083 | 0.083 | 0.105 | 0.087 | 0.098 | 0.097 | 0.094 | 0.091 |
| Execution time of our Randomness algorithm [sec] | 0.045 | 0.05 | 0.036 | 0.039 | 0.042 | 0.047 | 0.049 | 0.053 | 0.054 | 0.057 |
| Differences between two time [sec] | 0.046 | 0.018 | 0.047 | 0.044 | 0.063 | 0.04 | 0.049 | 0.044 | 0.04 | 0.034 |
| Improvement percentage (%) | 50.55 | 26.47 | 56.63 | 53.01 | 60.00 | 45.98 | 50.00 | 45.36 | 42.55 | 37.36 |
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