Research Article
Attention-Based LSTM Model for IFA Detection in Named Data Networking
Table 1
Comparison between related paper.
| Paper | Year | Offline | Online | Detection method |
| [12] | 2021 | ✗ | ✓ | Isolation forest | [16] | 2021 | ✓ | ✗ | Association rules + decision tree | [23] | 2021 | ✗ | ✓ | AQM | [24] | 2021 | ✗ | ✓ | Token | [19] | 2020 | ✗ | ✓ | Confidence interval | [21] | 2020 | ✗ | ✓ | Hash | [11] | 2019 | ✓ | ✓ | SVM | [18] | 2019 | ✗ | ✓ | Theil index | [25] | 2019 | ✗ | ✓ | Hypothesis testing | [26] | 2019 | ✗ | ✓ | AQM | [13] | 2020 | ✗ | ✓ | Deep reinforcement learning | [17] | 2018 | ✗ | ✓ | Gini impurity | [14] | 2019 | ✓ | ✗ | MLP with BP | RBF classifier | J48 | Naive Bayes | [20] | 2018 | ✗ | ✓ | Mean-variance | [15] | 2017 | ✓ | ✗ | MLP with BP | RBF with PSO | RBF with JAYA | RBF with TLBO | SVM linear | Fine KNN | [22] | 2017 | ✗ | ✓ | Wavelet analysis |
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