Dataset Viewer
Auto-converted to Parquet Duplicate
Search is not available for this dataset
avg_ipt
float64
0
4.29B
bytes_in
int64
0
65.5k
bytes_out
int64
0
65.5k
dest_ip
int64
22
399k
dest_port
float64
1
65.5k
entropy
float64
0
46.4
num_pkts_out
int64
0
255
num_pkts_in
int64
0
255
proto
int64
6
17
src_ip
int64
22
399k
src_port
float64
1
65.5k
total_entropy
float64
0
3.37M
label
int64
0
2
duration
float64
0
10.5k
81.5
270
191
786
445
4.569167
6
6
6
31,205
40,957
2,106.386
2
0.634172
169
270
191
786
445
4.572442
6
6
6
9,541
18,556
2,107.8958
2
1.12059
78.25
270
191
786
445
4.569167
6
7
6
31,205
23,537
2,106.386
2
0.599618
130.25
270
191
786
445
4.572442
6
6
6
9,541
18,643
2,107.8958
2
0.963095
89.5
270
191
786
445
4.569167
6
6
6
31,205
53,090
2,106.386
2
0.673915
86.75
270
191
786
445
4.569167
6
7
6
31,205
22,420
2,106.386
2
1.164732
169.5
270
191
786
445
4.569167
6
6
6
31,205
18,748
2,106.386
2
0.959375
302.75
270
191
786
445
4.572442
6
6
6
9,541
17,624
2,107.8958
2
1.800365
84.25
270
191
786
445
4.569167
6
6
6
31,205
56,654
2,106.386
2
0.623448
9.823529
1,483
1,540
786
22
7.070065
13
15
6
49,453
38,060
21,372.809
1
0.17521
224.75
270
191
786
445
4.572442
6
6
6
9,541
17,479
2,107.8958
2
1.630138
83
270
191
786
445
4.569167
6
6
6
31,205
58,476
2,106.386
2
0.639375
0
36
52
786
22
6.14125
2
2
6
49,453
40,138
540.43
1
0.054333
119.75
270
191
786
445
4.572442
6
6
6
9,541
18,322
2,107.8958
2
0.923187
83.25
270
191
786
445
4.569167
6
6
6
31,205
49,581
2,106.386
2
0.627042
82.5
270
191
786
445
4.569167
6
6
6
31,205
64,674
2,106.386
2
0.633585
87
270
191
786
445
4.569167
6
6
6
31,205
37,557
2,106.386
2
0.637946
9.4
1,447
1,312
786
22
6.927511
14
14
6
57,172
61,276
19,113.004
1
0.169867
117
349
715
786
5,060
5.575984
1
1
17
213,371
54,907
5,932.847
1
0.234666
430.478261
476
1,832
786
22
7.916897
23
21
6
209,160
49,528
18,272.2
1
9.997619
127.25
270
191
786
445
4.569167
6
6
6
31,205
65,413
2,106.386
2
0.794564
135.75
270
191
786
445
4.572442
6
6
6
9,541
14,394
2,107.8958
2
0.960602
102
270
191
786
445
4.572442
6
6
6
9,541
14,453
2,107.8958
2
0.80052
109
270
191
786
445
4.572442
6
6
6
9,541
14,657
2,107.8958
2
0.822882
573
0
47
786
3,397
4.155132
5
3
6
44,477
62,295
195.29121
1
1.342955
105
270
191
786
445
4.572442
6
6
6
9,541
18,994
2,107.8958
2
0.807927
106
270
191
786
445
4.572442
6
6
6
9,541
19,156
2,107.8958
2
0.820683
26.470588
1,483
1,524
786
22
7.058541
15
14
6
209,160
49,528
21,225.033
1
0.459079
111.75
270
191
786
445
4.572442
6
6
6
9,541
16,787
2,107.8958
2
0.843321
107.75
270
191
786
445
4.572442
6
6
6
9,541
16,853
2,107.8958
2
0.824128
181.25
270
191
786
445
4.572442
6
6
6
9,541
18,639
2,107.8958
2
1.412491
164.5
270
191
786
445
4.572442
6
6
6
9,541
18,754
2,107.8958
2
1.102079
106.5
270
191
786
445
4.572442
6
6
6
9,541
19,042
2,107.8958
2
0.813657
104.5
270
191
786
445
4.572442
6
6
6
9,541
19,110
2,107.8958
2
0.807442
104.5
270
191
786
445
4.572442
6
6
6
9,541
19,320
2,107.8958
2
0.963953
104.5
270
191
786
445
4.572442
6
6
6
9,541
19,629
2,107.8958
2
0.812189
0.5
36
52
786
22
6.087216
2
1
6
49,453
50,551
535.67505
1
0.016118
50.5
350
716
786
5,060
5.577966
1
1
17
213,371
51,463
5,946.1113
1
0.101795
111.75
270
191
786
445
4.572442
6
6
6
9,541
19,697
2,107.8958
2
0.843989
114.25
270
191
786
445
4.572442
6
6
6
9,541
16,981
2,107.8958
2
0.851399
105
270
191
786
445
4.572442
6
6
6
9,541
16,271
2,107.8958
2
0.807766
126.75
270
191
786
445
4.572442
6
7
6
9,541
18,490
2,107.8958
2
1.668193
2
52
100
786
22
6.550298
2
1
6
49,453
42,238
995.64526
1
0.018771
24.466667
1,447
1,312
786
22
6.927571
14
13
6
49,453
56,096
19,113.17
1
0.389915
103.25
270
191
786
445
4.572442
6
6
6
9,541
19,219
2,107.8958
2
0.798418
119.75
270
191
786
445
4.572442
6
6
6
9,541
19,722
2,107.8958
2
0.885398
93.666667
1,359
745
786
22
6.921063
12
15
6
16,276
39,122
14,561.916
1
1.141602
182.89
4,843
27,732
786
22
2.413468
198
183
6
39,517
40,368
78,618.73
2
30.0235
0
0
0
786
445
0
2
1
6
31,205
45,398
0
2
0.142059
0
0
0
786
445
0
2
1
6
31,205
7,742
0
2
0.142078
0
0
0
786
445
0
2
1
6
31,205
34,609
0
2
0.14155
0
0
0
786
445
0
2
1
6
31,205
15,272
0
2
0.149609
0
0
0
786
445
0
2
1
6
31,205
44,761
0
2
0.141578
0
0
0
786
445
0
2
1
6
31,205
5,753
0
2
0.149621
0
0
0
786
445
0
2
1
6
31,205
45,457
0
2
0.14962
0
0
0
786
445
0
2
1
6
31,205
13,946
0
2
0.149833
0
0
0
786
445
0
2
1
6
31,205
60,462
0
2
0.150081
0
0
0
786
445
0
2
1
6
31,205
21,702
0
2
0.145452
0
0
0
786
445
0
2
1
6
31,205
55,702
0
2
0.145501
0
0
0
786
445
0
2
1
6
31,205
24,657
0
2
0.141782
0
0
0
786
445
0
2
1
6
31,205
42,550
0
2
0.141833
0
0
0
786
445
0
2
1
6
31,205
21,787
0
2
0.142044
104
270
191
786
445
4.572442
6
6
6
9,541
13,445
2,107.8958
2
0.804472
102.75
270
191
786
445
4.572442
6
6
6
9,541
13,515
2,107.8958
2
0.798398
102
270
191
786
445
4.572442
6
6
6
9,541
13,570
2,107.8958
2
0.794695
0
0
0
786
40,830
0
3
1
6
47,285
54,320
0
2
0.029615
0
0
0
786
445
0
2
1
6
31,205
1,543
0
2
0.151847
0
0
0
786
445
0
2
1
6
31,205
35,920
0
2
0.151763
101.5
270
191
786
445
4.572442
6
6
6
9,541
13,645
2,107.8958
2
0.795273
13.647059
1,483
1,604
786
22
7.085118
15
17
6
49,453
40,138
21,871.758
1
0.242001
9.8125
1,447
1,312
786
22
6.918902
14
15
6
57,172
36,786
19,089.252
1
0.184291
181.5
270
191
786
445
4.572442
6
6
6
9,541
13,873
2,107.8958
2
1.113023
864
176
688
786
22
7.808753
4
6
6
43,350
50,136
6,746.762
1
4.323412
910.25
432
1,376
786
22
7.894453
13
11
6
43,350
62,842
14,273.171
1
10.971629
154.5
270
191
786
445
4.572442
6
6
6
9,541
18,933
2,107.8958
2
1.015833
107
270
191
786
445
4.572442
6
6
6
9,541
19,027
2,107.8958
2
0.82234
120
270
191
786
445
4.572442
6
6
6
9,541
19,092
2,107.8958
2
0.998265
262.53
30,230
60,707
786
9,200
16.772211
115
185
6
786
42,282
1,525,214.5
0
29.75845
110
270
191
786
445
4.572442
6
6
6
9,541
19,172
2,107.8958
2
0.830256
95.583333
1,359
745
786
22
6.933753
12
14
6
16,276
47,732
14,588.616
1
1.166195
102.75
270
191
786
445
4.572442
6
6
6
9,541
12,906
2,107.8958
2
0.818931
108.5
270
191
786
445
4.572442
6
6
6
9,541
19,526
2,107.8958
2
0.824214
0
0
0
786
46,748
0
3
1
6
786
57,761
0
1
0.050001
1,283
72
88
786
22
6.782773
4
2
6
49,453
39,743
1,085.2437
1
5.14828
273.35
29,810
62,973
786
9,200
15.45607
86
136
6
786
42,284
1,434,060.5
0
29.361021
106.75
270
191
786
445
4.572442
6
6
6
9,541
19,359
2,107.8958
2
0.816396
105
270
191
786
445
4.572442
6
6
6
9,541
13,032
2,107.8958
2
0.807459
5.5
48
48
61,337
123
4.590971
1
1
17
786
123
440.7332
2
0.011449
169.5
270
191
786
445
4.572442
6
6
6
9,541
13,147
2,107.8958
2
1.065312
110.25
270
191
786
445
4.572442
6
6
6
9,541
13,080
2,107.8958
2
0.945967
194
270
191
786
445
4.572442
6
6
6
9,541
13,237
2,107.8958
2
1.163154
250.75
270
191
786
445
4.572442
6
6
6
9,541
13,339
2,107.8958
2
1.390542
217
0
82
786
6,380
4.677922
4
4
6
136,746
8,030
383.58963
2
1.225293
217
0
82
786
6,380
4.677922
4
3
6
136,746
7,860
383.58963
2
0.434971
541.2
352
1,344
786
22
7.872196
10
9
6
43,350
62,842
13,351.245
1
5.461161
154.5
270
191
786
445
4.572442
6
6
6
9,541
19,292
2,107.8958
2
1.062423
236.5
29,807
22,512
786
9,200
21.768852
224
110
6
786
42,240
1,138,924.6
0
29.68027
10.8
1,447
1,312
786
22
6.926574
14
13
6
49,453
49,949
19,110.416
1
0.186666
118.75
270
191
786
445
4.572442
6
6
6
9,541
19,362
2,107.8958
2
0.918105
85
270
191
786
445
4.569167
6
6
6
31,205
48,484
2,106.386
2
0.64198
End of preview. Expand in Data Studio
YAML Metadata Warning: empty or missing yaml metadata in repo card (https://huggingface.co/docs/hub/datasets-cards)

Training dataset for "An LLM-Based Synthetic Data Generation Approach for Addressing Class Imbalance in Malicious Traffic Detection" paper

Data Attribution

This dataset is based on the original dataset by Ryan Mills: LINK TO ORIGINAL DATASET

Licensed under Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0): https://creativecommons.org/licenses/by-sa/4.0/

Changes made:

  • selected a subset of the original dataset
  • added additional synthetic records to this subset
Downloads last month
6