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Browse files- README.md +132 -0
- feature_importance.json +338 -0
- random/test-00000-of-00001.parquet +3 -0
- random/train-00000-of-00001.parquet +3 -0
- temporal/test-00000-of-00001.parquet +3 -0
- temporal/train-00000-of-00001.parquet +3 -0
README.md
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| 1 |
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---
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| 2 |
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language:
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- en
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license: cc-by-4.0
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size_categories:
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- 1M<n<10M
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task_categories:
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- tabular-classification
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| 9 |
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tags:
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- network-intrusion-detection
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| 11 |
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- cybersecurity
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- CICIDS2017
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| 13 |
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- IDS
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| 14 |
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- binary-classification
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| 15 |
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pretty_name: CICIDS2017 Network Intrusion Detection
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configs:
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- config_name: temporal
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data_files:
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- split: train
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path: temporal/train-*
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- split: test
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path: temporal/test-*
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default: true
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- config_name: standard
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data_files:
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- split: train
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path: temporal/train-*
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- split: test
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path: temporal/test-*
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- config_name: random
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data_files:
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- split: train
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path: random/train-*
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- split: test
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path: random/test-*
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---
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# CICIDS2017 Network Intrusion Detection Dataset
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The [CICIDS2017](https://www.unb.ca/cic/datasets/ids-2017.html) dataset from the Canadian Institute for Cybersecurity, provided with **temporal and random splits** for fair evaluation.
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## Configurations
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### `temporal` (default) — Day-Based Temporal Split
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> **Note:** `standard` is an alias for `temporal` — both load the same data.
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Train on Monday-Thursday, test on Friday. The model must generalize to unseen attack types (DDoS, Botnet, PortScan).
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```python
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from datasets import load_dataset
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ds = load_dataset("lacg030175/CICIDS2017", "temporal") # or "standard"
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# ds["train"]: 2,125,158 rows (Mon-Thu)
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# ds["test"]: 702,718 rows (Friday)
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```
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**Train attacks:** 267,771 / 2,125,158 (12.6%)
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**Test attacks:** 288,785 / 702,718 (41.1%)
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| 59 |
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### `random` — Stratified Random Split
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| 61 |
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| 62 |
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80/20 stratified random split from all days combined.
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| 63 |
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```python
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ds = load_dataset("lacg030175/CICIDS2017", "random")
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# ds["train"]: 2,262,300 rows
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| 67 |
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# ds["test"]: 565,576 rows
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| 68 |
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```
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| 69 |
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| 70 |
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## Top-20 RF Features
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| 71 |
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| 72 |
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1. Bwd Packet Length Std
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| 73 |
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2. Destination Port
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| 74 |
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3. Packet Length Std
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| 75 |
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4. Bwd Packet Length Max
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| 76 |
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5. Avg Bwd Segment Size
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| 77 |
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6. Bwd Packet Length Mean
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| 78 |
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7. Fwd IAT Std
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| 79 |
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8. Average Packet Size
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| 80 |
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9. Packet Length Variance
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| 81 |
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10. Flow IAT Max
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| 82 |
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11. Packet Length Mean
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| 83 |
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12. Init_Win_bytes_forward
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| 84 |
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13. Idle Min
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| 85 |
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14. Idle Mean
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| 86 |
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15. Fwd IAT Max
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| 87 |
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16. Flow IAT Std
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| 88 |
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17. Flow Packets/s
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| 89 |
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18. Flow IAT Mean
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| 90 |
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19. Fwd Header Length
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| 91 |
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20. Bwd Header Length
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| 92 |
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| 93 |
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## Attack Types
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| 94 |
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| 95 |
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| Day | Attack Types |
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| 96 |
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|---|---|
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| Monday | Benign only |
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| Tuesday | FTP-Patator, SSH-Patator |
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| 99 |
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| Wednesday | DoS Hulk, DoS GoldenEye, DoS Slowhttptest, DoS slowloris, Heartbleed |
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| 100 |
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| Thursday | Web Attack (Brute Force, XSS, SQL Injection), Infiltration |
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| 101 |
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| **Friday (test)** | **Bot, DDoS, PortScan** |
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| 102 |
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| 103 |
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## Labels
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| 104 |
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| 105 |
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- **Binary** (`label`): 0 = BENIGN, 1 = Attack
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| 106 |
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- **Multi-class** (`Label`): 15 categories (BENIGN + 14 attack types)
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## Features
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| 109 |
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| 110 |
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78 numeric flow-level features extracted by CICFlowMeter.
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## Preprocessing
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| 113 |
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| 114 |
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- Removed rows with NaN/infinity values
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| 115 |
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- Stripped whitespace from column names and labels
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| 116 |
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- All features converted to numeric (float64)
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- Added binary `label` column (0=BENIGN, 1=Attack)
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| 118 |
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| 119 |
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## Citation
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| 120 |
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| 121 |
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```bibtex
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| 122 |
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@inproceedings{sharafaldin2018toward,
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| 123 |
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title={Toward Generating a New Intrusion Detection Dataset and Intrusion Traffic Characterization},
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| 124 |
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author={Sharafaldin, Iman and Lashkari, Arash Habibi and Ghorbani, Ali A},
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| 125 |
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booktitle={International Conference on Information Systems Security and Privacy},
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| 126 |
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year={2018}
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| 127 |
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}
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| 128 |
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```
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| 129 |
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| 130 |
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## License
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| 131 |
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| 132 |
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CC BY 4.0 — original dataset by the Canadian Institute for Cybersecurity, University of New Brunswick.
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feature_importance.json
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|
| 1 |
+
{
|
| 2 |
+
"top20": [
|
| 3 |
+
"Bwd Packet Length Std",
|
| 4 |
+
"Destination Port",
|
| 5 |
+
"Packet Length Std",
|
| 6 |
+
"Bwd Packet Length Max",
|
| 7 |
+
"Avg Bwd Segment Size",
|
| 8 |
+
"Bwd Packet Length Mean",
|
| 9 |
+
"Fwd IAT Std",
|
| 10 |
+
"Average Packet Size",
|
| 11 |
+
"Packet Length Variance",
|
| 12 |
+
"Flow IAT Max",
|
| 13 |
+
"Packet Length Mean",
|
| 14 |
+
"Init_Win_bytes_forward",
|
| 15 |
+
"Idle Min",
|
| 16 |
+
"Idle Mean",
|
| 17 |
+
"Fwd IAT Max",
|
| 18 |
+
"Flow IAT Std",
|
| 19 |
+
"Flow Packets/s",
|
| 20 |
+
"Flow IAT Mean",
|
| 21 |
+
"Fwd Header Length",
|
| 22 |
+
"Bwd Header Length"
|
| 23 |
+
],
|
| 24 |
+
"all_ranked": [
|
| 25 |
+
[
|
| 26 |
+
"Bwd Packet Length Std",
|
| 27 |
+
0.0837563378633182
|
| 28 |
+
],
|
| 29 |
+
[
|
| 30 |
+
"Destination Port",
|
| 31 |
+
0.06879629526647663
|
| 32 |
+
],
|
| 33 |
+
[
|
| 34 |
+
"Packet Length Std",
|
| 35 |
+
0.06032804711082539
|
| 36 |
+
],
|
| 37 |
+
[
|
| 38 |
+
"Bwd Packet Length Max",
|
| 39 |
+
0.058932110766919565
|
| 40 |
+
],
|
| 41 |
+
[
|
| 42 |
+
"Avg Bwd Segment Size",
|
| 43 |
+
0.0437471388275155
|
| 44 |
+
],
|
| 45 |
+
[
|
| 46 |
+
"Bwd Packet Length Mean",
|
| 47 |
+
0.04121379424371662
|
| 48 |
+
],
|
| 49 |
+
[
|
| 50 |
+
"Fwd IAT Std",
|
| 51 |
+
0.04101142720004286
|
| 52 |
+
],
|
| 53 |
+
[
|
| 54 |
+
"Average Packet Size",
|
| 55 |
+
0.035521541337101746
|
| 56 |
+
],
|
| 57 |
+
[
|
| 58 |
+
"Packet Length Variance",
|
| 59 |
+
0.031909920793574076
|
| 60 |
+
],
|
| 61 |
+
[
|
| 62 |
+
"Flow IAT Max",
|
| 63 |
+
0.03157229045031628
|
| 64 |
+
],
|
| 65 |
+
[
|
| 66 |
+
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}
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