-
Notifications
You must be signed in to change notification settings - Fork 4
Expand file tree
/
Copy pathindex.html
More file actions
635 lines (541 loc) · 32.1 KB
/
Copy pathindex.html
File metadata and controls
635 lines (541 loc) · 32.1 KB
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
83
84
85
86
87
88
89
90
91
92
93
94
95
96
97
98
99
100
101
102
103
104
105
106
107
108
109
110
111
112
113
114
115
116
117
118
119
120
121
122
123
124
125
126
127
128
129
130
131
132
133
134
135
136
137
138
139
140
141
142
143
144
145
146
147
148
149
150
151
152
153
154
155
156
157
158
159
160
161
162
163
164
165
166
167
168
169
170
171
172
173
174
175
176
177
178
179
180
181
182
183
184
185
186
187
188
189
190
191
192
193
194
195
196
197
198
199
200
201
202
203
204
205
206
207
208
209
210
211
212
213
214
215
216
217
218
219
220
221
222
223
224
225
226
227
228
229
230
231
232
233
234
235
236
237
238
239
240
241
242
243
244
245
246
247
248
249
250
251
252
253
254
255
256
257
258
259
260
261
262
263
264
265
266
267
268
269
270
271
272
273
274
275
276
277
278
279
280
281
282
283
284
285
286
287
288
289
290
291
292
293
294
295
296
297
298
299
300
301
302
303
304
305
306
307
308
309
310
311
312
313
314
315
316
317
318
319
320
321
322
323
324
325
326
327
328
329
330
331
332
333
334
335
336
337
338
339
340
341
342
343
344
345
346
347
348
349
350
351
352
353
354
355
356
357
358
359
360
361
362
363
364
365
366
367
368
369
370
371
372
373
374
375
376
377
378
379
380
381
382
383
384
385
386
387
388
389
390
391
392
393
394
395
396
397
398
399
400
401
402
403
404
405
406
407
408
409
410
411
412
413
414
415
416
417
418
419
420
421
422
423
424
425
426
427
428
429
430
431
432
433
434
435
436
437
438
439
440
441
442
443
444
445
446
447
448
449
450
451
452
453
454
455
456
457
458
459
460
461
462
463
464
465
466
467
468
469
470
471
472
473
474
475
476
477
478
479
480
481
482
483
484
485
486
487
488
489
490
491
492
493
494
495
496
497
498
499
500
501
502
503
504
505
506
507
508
509
510
511
512
513
514
515
516
517
518
519
520
521
522
523
524
525
526
527
528
529
530
531
532
533
534
535
536
537
538
539
540
541
542
543
544
545
546
547
548
549
550
551
552
553
554
555
556
557
558
559
560
561
562
563
564
565
566
567
568
569
570
571
572
573
574
575
576
577
578
579
580
581
582
583
584
585
586
587
588
589
590
591
592
593
594
595
596
597
598
599
600
601
602
603
604
605
606
607
608
609
610
611
612
613
614
615
616
617
618
619
620
621
622
623
624
625
626
627
628
629
630
631
632
633
634
635
<html xmlns="http://www.w3.org/1999/xhtml">
<head>
<script type="text/javascript" src="/___vscode_livepreview_injected_script"></script>
<script type="text/javascript" src="/___vscode_livepreview_injected_script"></script>
<script type="text/javascript" src="/___vscode_livepreview_injected_script"></script>
<link href="https://fonts.cdnfonts.com/css/chalkduster" rel="stylesheet">
<style>
@import url('https://fonts.cdnfonts.com/css/chalkduster');
</style>
<!-- <script src="./sm/assets/teaser-data.js"></script> -->
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Network Intrusion Detection</title>
<link href="style.css" rel="stylesheet" type="text/css">
<meta name="description"
content="Project page for 'Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions.'">
<!-- <link rel="icon" href="./pics/wis_logo.jpg"> -->
<link rel="stylesheet" href="https://cdn.jsdelivr.net/npm/bootstrap@4.0.0/dist/css/bootstrap.min.css"
integrity="sha384-Gn5384xqQ1aoWXA+058RXPxPg6fy4IWvTNh0E263XmFcJlSAwiGgFAW/dAiS6JXm" crossorigin="anonymous">
<meta http-equiv="Content-Type" content="text/html; charset=UTF-8">
<title>Network Intrusion Detection</title>
<link href="style.css" rel="stylesheet" type="text/css">
<meta name="description"
content="Project page for 'Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions.'">
<meta charset="utf-8">
<meta name="description"
content="Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions">
<meta name="keywords"
content="sketch+text-based image retrieval, cross-modal retrieval, image retrieval, SBIR, CSTBIR;">
<meta name="author" content="Prajwal Gatti">
<title>Network Intrusion Detection</title>
<meta name="twitter:card" content="summary_large_image">
<meta name="twitter:title"
content="[AAAI 2024] Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions">
<meta name="twitter:description"
content="[AAAI 2024] Composite Sketch+Text Queries for Retrieving Objects with Elusive Names and Complex Interactions">
<meta name="twitter:image:alt" content="CSTBIR (AAAI 2024)">
<link rel="stylesheet" href="https://maxcdn.bootstrapcdn.com/font-awesome/4.7.0/css/font-awesome.min.css">
</head>
<body>
<p class="title" style="text-align: center; font-weight: bold; font-size: 32px;">Network Intrusion Detection System
</p>
<div style="text-align: center; font-size: 15pt; margin-bottom: 15px">
<span><a>B.Tech '27 Project</a></span>
</div>
<p class="author" style="text-align: center; font-weight:bold;">
<span class="author"><a>Luv Valecha, </a> </span>
<span class="author"><a>Shiv Jee Yadav, </a> </span>
<span class="author"><a>Ritik Nagar, </a> </span>
<span class="author"><a>Pratyush Chauhan, </a> </span>
<span class="author"><a>Dheeraj Kumar, </a> </span>
<span class="author"><a>Dhruv Sharma</a> </span>
</p>
<tc>
</tc>
<tc>
</tc>
<table border="0" align="center" class="affiliations" width="700px">
<tbody align="center">
<tr>
<td style="text-align: center;"> IIT Jodhpur</td>
<td style="text-align: center;">P.R.M.L. Project</td>
</tr>
</tbody>
</table>
<table width="999" border="0" align="center" class="menu" style="margin-bottom: 8px;">
<tbody>
<tr>
<td align="center"><a href="https://github.com/Luv-valecha/Network_Intrusion">Code</a> | <a
href="https://www.kaggle.com/datasets/sampadab17/network-intrusion-detection?select=Train_data.csv">Dataset</a>
| <a href="https://docs.google.com/presentation/d/1xggtss0QPulhdF1vYawYsD-7vs-t3iVc/edit?usp=sharing&ouid=102848302874725388051&rtpof=true&sd=true">Slides</a> | <a
href="https://www.youtube.com/watch?v=IDEWjUkJ_ag">Short Talk</a></td>
</tr>
</tbody>
</table>
<div class="container">
<table width="1000" border="0" align="center">
<tbody>
<tr>
</tr>
<!-- <tr> <br /> </tr> -->
<tr align="center"></tr>
</tbody>
</table>
<div style="text-align: justify;text-justify: inter-word;">
<p><span class="section"><b>Abstract</b></span> </p>
<p>The Network Intrusion Detection System (NIDS) presented in this project is a machine learning-based
framework designed to identify unauthorized access and anomalous behavior within a network. By analyzing
network traffic, the system effectively detects potential security threats. This report outlines a
comprehensive approach to enhancing network intrusion detection by employing a combination of classical
machine learning algorithms and strategic feature selection techniques. Specifically, we leverage Optuna
for feature selection to reduce dimensionality and optimize model performance. Several classification
models—including K-Nearest Neighbors (KNN), Logistic Regression, Support Vector Machines (SVM) with
linear and non-linear kernels, Naive Bayes, and Decision Tree—are evaluated for their effectiveness in
identifying malicious network activity. The models are rigorously assessed using standard performance
metrics such as F1 score, precision, and recall to ensure their reliability and robustness.
Additionally, the application of GridSearchCV with cross-validation significantly improves model
performance by identifying the best hyperparameters for each classifier. Through experimentation and
model exploration, we identify the optimal combination of feature selection and classifier,
demonstrating that effective feature engineering and model diversity lead to a robust NIDS applicable to
real-world cybersecurity scenarios. The findings of this project underscore the importance of continual
experimentation in the development of highly accurate intrusion detection systems.</p>
</div>
<div style="text-align: justify;text-justify: inter-word;">
<p><b>Keywords: </b>Network Traffic Analysis, Intrusion Detection, Optuna feature selection, KNN classifier,
SVM kernels, Naive Bayes, Decision Tree, GridSearchCV, model evaluation, cybersecurity threats,
dimensionality reduction</p>
</div>
<p class="section"> </p>
<p class="section"><b>Problem Statement</b></p>
<div style="text-align: center">
<img src="iMg.jpg" alt="" width="700px" style="margin: auto">
<br><br>
<p>Network Intrusion Detection using Machine Learning: A network administrator wants to identify suspicious
activities, like unauthorized data access, but may not be able to describe all possible threats easily.
The system uses network traffic data along with machine learning to detect these threats. By evaluating
multiple models and optimizing features, the system effectively identifies potential intrusions and
strengthens cybersecurity.</p>
</div>
<p class="section"> </p>
<p class="section" style="font-size: large;"><b>Data Preprocessing: </b></p>
<div>
<p>The original dataset consisted of 42 features and 25,192 rows which were processed as follows before
using:</p>
<ul>
<li>The three categorical features (Protocol, Service and Connection status) were encoded using label
encoder.</li>
<li>Columns with more than 90% zeros were dropped.</li>
<li>Columns with only one unique value were dropped.</li>
<li>By the usage of mutual information, top 10 features were selected for further use.</li>
</ul>
<p>Finally, the dataset was of the shape (25192,10)</p>
<br>
<p>The class distribution did not show any bias, so there was no need to drop any rows</p>
<div style="text-align: center;">
<img src="data_dist.png" style="width:400px;">
</div>
</div>
<br>
<p class="section" style="font-size: large;"><b>Model Results: </b></p>
<div style="text-align: center">
<table border="1" cellspacing="0" cellpadding="8" style="margin: auto;">
<caption style="text-align: center;"><b>Table 4: Performance of different models</b></caption>
<thead>
<tr>
<th>Model</th>
<th>Accuracy</th>
<th>Precision</th>
<th>Recall</th>
<th>F1 Score</th>
</tr>
</thead>
<tbody>
<tr>
<td>KNN</td>
<td>99.36%</td>
<td>99.50%</td>
<td>99.50%</td>
<td>99.50%</td>
</tr>
<tr>
<td>Random Forest</td>
<td>99.50%</td>
<td>99.50%</td>
<td>99.50%</td>
<td>99.50%</td>
</tr>
<tr>
<td>AdaBoost</td>
<td>96.59%</td>
<td>96.59%</td>
<td>96.59%</td>
<td>96.59%</td>
</tr>
<tr>
<td>Decision Tree</td>
<td>99.41%</td>
<td>99.41%</td>
<td>99.41%</td>
<td>99.41%</td>
</tr>
<tr>
<td>Linear SVM</td>
<td>89.86%</td>
<td>85.29%</td>
<td>97.72%</td>
<td>91.13%</td>
</tr>
<tr>
<td>Non-Linear SVM</td>
<td>97.14%</td>
<td>95.24%</td>
<td>99.59%</td>
<td>97.39%</td>
</tr>
<tr>
<td>XGBoost</td>
<td>99.66%</td>
<td>99.66%</td>
<td>99.66%</td>
<td>99.66%</td>
</tr>
<tr>
<td>BernoulliNB</td>
<td>92.72%</td>
<td>92.72%</td>
<td>92.72%</td>
<td>92.71%</td>
</tr>
<tr>
<td>Logistic Regression</td>
<td>88.71%</td>
<td>88.72%</td>
<td>88.71%</td>
<td>88.70%</td>
</tr>
<tr>
<td>ANN</td>
<td>95.87%</td>
<td>95.87%</td>
<td>95.87%</td>
<td>95.87%</td>
</tr>
</tbody>
</table>
<br>
<img src="output.png" style="width: 900px;">
</div>
<p class="section"> </p>
<div class="papers-list">
</div>
</tbody>
</table>
<p class="section"> </p>
<div class="team">
<div class="team">
<div class="team">
<p class="section" id="team"><b>Team</b></p>
<div class="row justify-content-center">
<div class="col-xs-12 col-sm-6 col-md-6 col-lg-2">
<div class="mainflip">
<div class="card">
<div class="card-body text-center card-no-padding">
<p><img class=" img-fluid"
src="https://encrypted-tbn0.gstatic.com/images?q=tbn:ANd9GcSK7-GWRf4z46CrzTubYTvsFzLk1Ym2-lX7DA&s"
alt="card image"></p>
<h5 class="card-title">Luv <br> Valecha</h5>
<ul class="list-inline">
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank"
href="https://www.linkedin.com/in/luvvalecha/">
<i class="fa fa-linkedin"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank"
href="https://luvvalecha.github.io/">
<i class="fa fa-user"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank"
href="https://github.com/Luv-valecha/Network_Intrusion">
<i class="fa fa-github"></i>
</a>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="col-xs-12 col-sm-6 col-md-6 col-lg-2">
<div class="mainflip">
<div class="card">
<div class="card-body text-center card-no-padding">
<p><img class=" img-fluid"
src="https://th.bing.com/th/id/OIP.qPEECK0_UXP4TkYFCyfQrQHaGh?rs=1&pid=ImgDetMain"
alt="card image"></p>
<h5 class="card-title">Shiv Jee <br> Yadav</h5>
<ul class="list-inline">
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="https://in.linkedin.com/in/shiv-yadav-ba3547284">
<i class="fa fa-linkedin"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="#">
<i class="fa fa-user"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank"
href="https://github.com/Luv-valecha/Network_Intrusion">
<i class="fa fa-github"></i>
</a>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="col-xs-12 col-sm-6 col-md-6 col-lg-2">
<div class="mainflip">
<div class="card">
<div class="card-body text-center card-no-padding">
<p><img class=" img-fluid"
src="https://th.bing.com/th/id/OIP.qPEECK0_UXP4TkYFCyfQrQHaGh?rs=1&pid=ImgDetMain"
alt="card image"></p>
<h5 class="card-title">Ritik <br> Nagar</h5>
<ul class="list-inline">
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="https://in.linkedin.com/in/ritik-nagar-1375591b5?">
<i class="fa fa-linkedin"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="#">
<i class="fa fa-user"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank"
href="https://github.com/Luv-valecha/Network_Intrusion">
<i class="fa fa-github"></i>
</a>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="col-xs-12 col-sm-6 col-md-6 col-lg-2">
<div class="mainflip">
<div class="card">
<div class="card-body text-center card-no-padding">
<p><img class=" img-fluid"
src="https://th.bing.com/th/id/OIP.qPEECK0_UXP4TkYFCyfQrQHaGh?rs=1&pid=ImgDetMain"
alt="card image"></p>
<h5 class="card-title">Pratyush <br> Chauhan</h5>
<ul class="list-inline">
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="https://in.linkedin.com/in/pratyush-chauhan-a992a6288">
<i class="fa fa-linkedin"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="#">
<i class="fa fa-user"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank"
href="https://github.com/Luv-valecha/Network_Intrusion">
<i class="fa fa-github"></i>
</a>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="col-xs-12 col-sm-6 col-md-6 col-lg-2">
<div class="mainflip">
<div class="card">
<div class="card-body text-center card-no-padding">
<p><img class=" img-fluid"
src="https://th.bing.com/th/id/OIP.qPEECK0_UXP4TkYFCyfQrQHaGh?rs=1&pid=ImgDetMain"
alt="card image"></p>
<h5 class="card-title">Dheeraj <br> Kumar</h5>
<ul class="list-inline">
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="https://in.linkedin.com/in/dheeraj-kumar-34222828a">
<i class="fa fa-linkedin"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="#">
<i class="fa fa-user"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank"
href="https://github.com/Luv-valecha/Network_Intrusion">
<i class="fa fa-github"></i>
</a>
</li>
</ul>
</div>
</div>
</div>
</div>
<div class="col-xs-12 col-sm-6 col-md-6 col-lg-2">
<div class="mainflip">
<div class="card">
<div class="card-body text-center card-no-padding">
<p>
<img class="img-fluid"
src="frontend2\Network_intrusion\public\dhruv_1.jpg"
alt="card image">
</p>
<h5 class="card-title">Dhruv <br> Sharma</h5>
<ul class="list-inline">
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="https://in.linkedin.com/in/dhruv-sharma-0668b028a">
<i class="fa fa-linkedin"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="https://github.com/Dhruv0427">
<i class="fa fa-github"></i>
</a>
</li>
<li class="list-inline-item">
<a class="social-icon text-xs-center" target="_blank" href="#">
<i class="fa fa-user"></i>
</a>
</li>
</ul>
</div>
</div>
</div>
</div>
<p class="section"> </p>
<p class="section"> </p>
<p class="section"> </p>
<div class="ack">
<p class="section" id="ack"><b>Acknowledgment</b></p>
We would like to express our heartfelt gratitude to <strong>Prof. Anand Mishra</strong>,
Assistant Professor at IIT Jodhpur, for his invaluable guidance and
mentorship throughout the development of this project. His insights, encouragement, and support
were instrumental in shaping our approach
and helping us overcome challenges along the way. This project would not have reached its
current level of depth and quality without his expert
supervision. We are truly thankful for the opportunity to learn under his mentorship.
</div>
<div class="ack">
</div>
<p class="section"> </p>
<div class="contact">
<p class="section" id="related-paper"><b>Contact</b></p>
For questions, please contact <a href="https://in.linkedin.com/in/shiv-yadav-ba3547284" target="_blank">Shiv
Jee Yadav</a> or raise an issue on <a class="publink" href="https://github.com/ShivJee-Yadav"
target="_blank" style="text-decoration: none">GitHub</a>.
</div>
<p class="section"></p>
<!-- Footer -->
<script>
function prompt_on(prompt_element) {
prompt_element.classList.add("caption-active");
}
function prompt_off(prompt_element) {
prompt_element.classList.remove("caption-active");
}
function toggle_prompt(active_prompt_id, inactive_prompt_ids, result_id) {
let active_prompt = document.getElementById(active_prompt_id);
prompt_on(active_prompt);
for (let i = 0; i < inactive_prompt_ids.length; i++) {
let inactive_prompt = document.getElementById(inactive_prompt_ids[i]);
prompt_off(inactive_prompt);
}
let result = document.getElementById(result_id);
result.src = file_paths[active_prompt_id];
}
</script>
<script src="https://code.jquery.com/jquery-3.2.1.slim.min.js"
integrity="sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN"
crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/popper.js@1.12.9/dist/umd/popper.min.js"
integrity="sha384-ApNbgh9B+Y1QKtv3Rn7W3mgPxhU9K/ScQsAP7hUibX39j7fakFPskvXusvfa0b4Q"
crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@4.0.0/dist/js/bootstrap.min.js"
integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl"
crossorigin="anonymous"></script>
</div>
<p class="section"></p>
<!-- Footer -->
<footer>
</footer>
<script>
function prompt_on(prompt_element) {
prompt_element.classList.add("caption-active");
}
function prompt_off(prompt_element) {
prompt_element.classList.remove("caption-active");
}
function toggle_prompt(active_prompt_id, inactive_prompt_ids, result_id) {
let active_prompt = document.getElementById(active_prompt_id);
prompt_on(active_prompt);
for (let i = 0; i < inactive_prompt_ids.length; i++) {
let inactive_prompt = document.getElementById(inactive_prompt_ids[i]);
prompt_off(inactive_prompt);
}
let result = document.getElementById(result_id);
result.src = file_paths[active_prompt_id];
}
</script>
<script src="https://code.jquery.com/jquery-3.2.1.slim.min.js"
integrity="sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN"
crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/popper.js@1.12.9/dist/umd/popper.min.js"
integrity="sha384-ApNbgh9B+Y1QKtv3Rn7W3mgPxhU9K/ScQsAP7hUibX39j7fakFPskvXusvfa0b4Q"
crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@4.0.0/dist/js/bootstrap.min.js"
integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl"
crossorigin="anonymous"></script>
</div>
<p class="section"> </p>
<!-- Footer -->
<footer>
<p class="m-0 text-center">Copyright © IIT Jodhpur</p>
</footer>
<script>
function prompt_on(prompt_element) {
prompt_element.classList.add("caption-active");
}
function prompt_off(prompt_element) {
prompt_element.classList.remove("caption-active");
}
function toggle_prompt(active_prompt_id, inactive_prompt_ids, result_id) {
let active_prompt = document.getElementById(active_prompt_id);
prompt_on(active_prompt);
for (let i = 0; i < inactive_prompt_ids.length; i++) {
let inactive_prompt = document.getElementById(inactive_prompt_ids[i]);
prompt_off(inactive_prompt);
}
let result = document.getElementById(result_id);
result.src = file_paths[active_prompt_id];
}
</script>
<script src="https://code.jquery.com/jquery-3.2.1.slim.min.js"
integrity="sha384-KJ3o2DKtIkvYIK3UENzmM7KCkRr/rE9/Qpg6aAZGJwFDMVNA/GpGFF93hXpG5KkN"
crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/popper.js@1.12.9/dist/umd/popper.min.js"
integrity="sha384-ApNbgh9B+Y1QKtv3Rn7W3mgPxhU9K/ScQsAP7hUibX39j7fakFPskvXusvfa0b4Q"
crossorigin="anonymous"></script>
<script src="https://cdn.jsdelivr.net/npm/bootstrap@4.0.0/dist/js/bootstrap.min.js"
integrity="sha384-JZR6Spejh4U02d8jOt6vLEHfe/JQGiRRSQQxSfFWpi1MquVdAyjUar5+76PVCmYl"
crossorigin="anonymous"></script>
</div>
</div>
</body>
</html>