Research Article
Cost-Sensitive Approach to Improve the HTTP Traffic Detection Performance on Imbalanced Data
Table 1
Comparison of related works.
| Scheme | Method | Encrypted or not | Friendly to lightweight devices | Friendly to a few samples |
| Jin et al. [9] | Data-level method | No | No | No | Lim et al. [10] | Data-level method | No | No | No | Park et al. [11] | Convolutional autoencoders | No | No | No | Ting [12] | Decision tree | No | No | No | Chen et al. [13] | Implex imbalanced data gravitation classification | No | No | No | Lin et al. [14] | The focal-loss cost function | No | No | No | Tong [15] | Convolutional neural network | No | No | No | Aceto et al. [16] | Multimodal deep learning | Yes | Yes | No | Lotfollahi [17] | Port-based, payload inspection and statistical machine learning | Yes | No | No | Bovenzi [18] | Hierarchical hybrid intrusion detection | Yes | Yes | No | Aceto [19] | Big data-enabled DL framework for mobile TC | Yes | Yes | No | Ours | Spark-based HTTP traffic detection | No | Yes | Yes |
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