Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift

<table class="table-group" id="tab6"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Scenario</td><td class="align_center">Response variable</td><td class="align_center">Average</td><td class="align_center">Median</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="4">Biclass <svg height="8.68572pt" id="M69" style="vertical-align:-0.0498209pt" version="1.1" viewbox="-0.0498162 -8.6359 7.94191 8.68572" width="7.94191pt" 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="M578 512C578 619 494 650 387 650H140L134 622C219 615 223 609 210 542L127 119C112 40 104 34 23 28L17 0H235C317 0 387 7 444 33C515 65 564 122 564 195C564 289 495 335 412 352V354C505 373 578 422 578 512ZM486 510C486 422 423 367 314 367H257L294 565C299 591 305 602 315 608C324 614 339 617 362 617C421 617 486 595 486 510ZM466 200C466 100 393 35 296 35C222 35 198 51 212 127L250 333H303C388 333 466 303 466 200Z"></path></g></svg></td><td class="align_center">MCC</td><td class="align_center">.7388</td><td class="align_center">.7393</td></tr><tr><td class="align_center">Accuracy</td><td class="align_center">.8877</td><td class="align_center">.8880</td></tr><tr><td class="align_center">Sensitivity</td><td class="align_center">.8877</td><td class="align_center">.8880</td></tr><tr><td class="align_center">Specificity</td><td class="align_center">.8877</td><td class="align_center">.8880</td></tr><tr><td class="align_center" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="4">Biclass <svg height="11.4859pt" id="M70" style="vertical-align:-0.04979992pt" version="1.1" viewbox="-0.0498162 -11.4361 11.7374 11.4859" width="11.7374pt" 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="M578 512C578 619 494 650 387 650H140L134 622C219 615 223 609 210 542L127 119C112 40 104 34 23 28L17 0H235C317 0 387 7 444 33C515 65 564 122 564 195C564 289 495 335 412 352V354C505 373 578 422 578 512ZM486 510C486 422 423 367 314 367H257L294 565C299 591 305 602 315 608C324 614 339 617 362 617C421 617 486 595 486 510ZM466 200C466 100 393 35 296 35C222 35 198 51 212 127L250 333H303C388 333 466 303 466 200Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,7.813,-5.741)"><path d="M310 541L304 571C290 586 211 619 185 610L80 76L131 52L310 541Z"></path></g></svg></td><td class="align_center">MCC</td><td class="align_center">.8692</td><td class="align_center">.8692</td></tr><tr><td class="align_center">Accuracy</td><td class="align_center">.9844</td><td class="align_center">.9844</td></tr><tr><td class="align_center">Sensitivity</td><td class="align_center">.9844</td><td class="align_center">.9844</td></tr><tr><td class="align_center">Specificity</td><td class="align_center">.9844</td><td class="align_center">.9844</td></tr><tr><td class="align_center" colspan="4"><hr/></td></tr><tr><td class="align_left" rowspan="4">Multiclass</td><td class="align_center">MCC</td><td class="align_center">.7122</td><td class="align_center">.7159</td></tr><tr><td class="align_center">Accuracy</td><td class="align_center">.8342</td><td class="align_center">.8320</td></tr><tr><td class="align_center">Sensitivity</td><td class="align_center">.8342</td><td class="align_center">.8320</td></tr><tr><td class="align_center">Specificity</td><td class="align_center">.9447</td><td class="align_center">.9401</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>Results of applying ML-constructed models with <svg height="12.0366pt" id="M65" style="vertical-align:-3.400701pt" version="1.1" viewbox="-0.0498162 -8.6359 28.4215 12.0366" width="28.4215pt" 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="M743 375C743 570 607 650 407 650H136L130 622C214 612 220 606 204 526L125 122C110 43 105 36 24 27L17 0H250C382 0 482 23 571 76C680 141 743 248 743 375ZM644 379C644 188 520 36 305 36C277 36 249 38 229 46C205 55 202 71 212 126L293 553C300 588 306 600 317 606C330 613 356 617 390 617C547 617 644 537 644 379Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.893,3.132)"><path d="M329 433H203L239 587L230 596L147 534L123 433H57L30 395L34 388H115L61 129C37 16 59 -12 85 -12C147 -12 222 58 260 98L241 125C212 95 160 62 144 62C132 62 127 71 138 126L192 386L305 394L329 433Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,13.051,3.132)"><path d="M556 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202 71 212 126L293 553C300 588 306 600 317 606C330 613 356 617 390 617C547 617 644 537 644 379Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,9.893,3.132)"><path d="M329 433H203L239 587L230 596L147 534L123 433H57L30 395L34 388H115L61 129C37 16 59 -12 85 -12C147 -12 222 58 260 98L241 125C212 95 160 62 144 62C132 62 127 71 138 126L192 386L305 394L329 433Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,13.051,3.132)"><path d="M556 236V289H337V504H275V289H56V236H275V-4H337V236H556Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,18.611,3.132)"><path d="M610 0V27L347 666L316 657L46 26V0H610ZM504 54H116L310 537L504 54Z"></path></g><g transform="matrix(.0091,0,0,-0.0091,24.558,3.132)"><path d="M329 433H203L239 587L230 596L147 534L123 433H57L30 395L34 388H115L61 129C37 16 59 -12 85 -12C147 -12 222 58 260 98L241 125C212 95 160 62 144 62C132 62 127 71 138 126L192 386L305 394L329 433Z"></path></g></svg>.</span> <span class="nowrap"><svg height="13.0126pt" id="M67" 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Computational and Mathematical Methods

tab6

Table 6

Table 6: Towards Supercomputing Categorizing the Maliciousness upon Cybersecurity Blacklists with Concept Drift 