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Detection, Defensive and Mitigation of DDoS Attacks through Machine learning Techniques: A Literature
2019
International journal of recent technology and engineering
iNowaday ithe iworld iis icompletely idepend on ithe iinternet iand the day ito iday iactivities of ihuman ilife icompletely idepends ion ithe iinternet. The idependency ion ithe iinternet iallows ithe iattackers ido damage ior iharm ito ithe ilegitimate iuser's itransactions iand ievents iwhich iis icalled ias iSecurity iattack. Distributed iDenial iof iService iis ione itype iof ithe imost vulnerable iattacks iof itoday's icyber iworld. iIn ithis ipaper, iwe ipresent ia isurvey iof
doi:10.35940/ijrte.d7335.118419
fatcat:y4tkl7pcqvcgln5qg5weshyud4