Hybrid Rule-Based Solution for Phishing URL Detection Using Convolutional Neural Network

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr class="thead"><td class="align_left">URL</td><td class="align_center">Feature1 (<span class="nowrap"><svg height="12.7178pt" id="M3" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 14.7403 12.7178" width="14.7403pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M619 670C619 686 593 712 555 712S459 686 410 634S335 504 320 430H250L219 400L222 388H312L258 73C223 -133 201 -166 187 -180C175 -191 158 -199 140 -199C123 -199 88 -188 74 -172C68 -166 63 -164 54 -171C38 -185 23 -201 23 -215C23 -236 60 -261 93 -261C122 -261 161 -247 207 -200C268 -138 300 -71 337 94C365 220 376 277 394 387L501 399L521 430H401C432 623 464 665 501 665C524 665 544 651 567 627C577 617 583 618 592 625C601 631 619 651 619 670Z"></path></g><g transform="matrix(.013,0,0,-0.013,8.352,0)"><path d="M384 0V27C293 34 287 42 287 114V635C232 613 172 594 109 583V559L157 557C201 555 205 550 205 499V114C205 42 199 34 109 27V0H384Z"></path></g></svg>)</span></td><td class="align_center">Feature2 (<i>f</i>2)</td><td class="align_center">…</td><td class="align_center">Feature37 (<span class="nowrap"><svg height="12.7178pt" id="M4" style="vertical-align:-3.42947pt" version="1.1" viewbox="-0.0498162 -9.28833 21.0037 12.7178" width="21.0037pt" xmlns="http://www.w3.org/2000/svg" xmlns:xlink="http://www.w3.org/1999/xlink"><g transform="matrix(.013,0,0,-0.013,0,0)"><path d="M619 670C619 686 593 712 555 712S459 686 410 634S335 504 320 430H250L219 400L222 388H312L258 73C223 -133 201 -166 187 -180C175 -191 158 -199 140 -199C123 -199 88 -188 74 -172C68 -166 63 -164 54 -171C38 -185 23 -201 23 -215C23 -236 60 -261 93 -261C122 -261 161 -247 207 -200C268 -138 300 -71 337 94C365 220 376 277 394 387L501 399L521 430H401C432 623 464 665 501 665C524 665 544 651 567 627C577 617 583 618 592 625C601 631 619 651 619 670Z"></path></g><g transform="matrix(.013,0,0,-0.013,8.352,0)"><path d="M285 378C315 398 338 416 353 432C373 451 384 474 384 503C384 579 325 635 236 635H235C182 635 136 610 108 579L65 516L85 496C110 533 150 575 205 575C258 575 300 543 300 481C300 407 232 369 141 339L147 310C163 315 188 321 211 321C268 321 338 284 338 192C338 94 288 40 217 40C160 40 119 68 93 91C85 98 77 97 69 91C60 84 47 71 46 58C44 46 48 35 62 22C75 10 116 -12 162 -12C234 -12 424 62 424 224C424 297 373 359 285 376V378Z"></path></g><g transform="matrix(.013,0,0,-0.013,14.592,0)"><path d="M447 623H65C61 580 56 530 47 475H76C100 541 106 550 172 550H388C308 376 196 170 91 -1L98 -12L172 -2C268 204 360 408 455 611L447 623Z"></path></g></svg>)</span></td><td class="align_center">Result</td></tr><tr><td class="thead-hr" colspan="6"><hr/></td></tr><tr><td class="align_left"><a href="http://www.example1.com" target="_blank">http://www.example1.com</a></td><td class="align_center">1</td><td class="align_center">0</td><td class="align_center">…</td><td class="align_center">-1</td><td class="align_center">1 (means it is a phishing URL)</td></tr><tr><td class="align_left"><a href="http://www.example2.com" target="_blank">http://www.example2.com</a></td><td class="align_center">-1</td><td class="align_center">1</td><td class="align_center">…</td><td class="align_center">-1</td><td class="align_center">-1 (means it is safe URL)</td></tr><tr class="table-tr"><td colspan="6"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The schema of our model in the database.</div>

Wireless Communications and Mobile Computing

tab2

Table 2

Table 2: Hybrid Rule-Based Solution for Phishing URL Detection Using Convolutional Neural Network 