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ID:7290805
大小:823.99 KB
页数:15页
时间:2018-02-10
《predicting number of zombies in a ddos attacks using isotonic regression》由会员上传分享,免费在线阅读,更多相关内容在工程资料-天天文库。
1、PredictingNumberofZombiesinaDDoSAttacksUsingIsotonicRegressionB.B.GuptaandNadeemJamaliAbstractAnomalybasedDDoSdetectionsystemsconstructprofileofthetrafficnormallyseeninthenetwork,andidentifyanomalieswhenevertrafficdeviatefromnormalprofilebeyondathreshold.Thisdeviationintrafficbeyondthresholdisusedinthep
2、astforDDoSdetectionbutnotforfindingnumberofzombies.Thischapterpresentsanapproachthatutilizesthisdeviationintraffictopredictnumberofzom-biesusingisotonicregressionmodel.Arelationshipisestablishedbetweennumberofzombiesandobserveddeviationinsampleentropy.Internettypetopologiesusedforsimulationaregenerat
3、edusingTransit-StubmodelofGT-ITMtopologygen-erator.NS-2networksimulatoronLinuxplatformisusedassimulationtestbedforlaunchingDDoSattackswithvariednumberofzombies.Variousstatisticalper-formancemeasuresareusedtomeasuretheperformanceoftheregressionmodel.Thesimulationresultsarepromisingasweareabletopredi
4、ctnumberofzombiesefficientlywithverylesserrorrateusingisotonicregressionmodel.KeywordsDDoSattack·Intrusiondetection·Isotonicregression·Zombies·Entropy1IntroductionDDoSattacksareanimpendingthreattoInternetrelatedapplications.Itposesagravedangertousers,organizationsandinfrastructuresoftheInternet.ADDo
5、Sattackerattemptstodisruptatarget,inmostcasesawebserver,byfloodingitwithillegitimatepackets,usurpingitsbandwidthandovertaxingittopreventle-gitimateinquiriesfromgettingthrough[1,2].InanomalybasedDDoSdetectionmechanisms,theprofileofthetrafficnormallyseeninthenetworkisconstructedB.B.Gupta(B)IndianInstitu
6、teofTechnologyRoorkee,Roorkee,Indiae-mail:gupta.brij@gmail.comN.JamaliUniversityofSaskatchewan,Saskatoon,Canadae-mail:jamali@agents.usask.caT.Özyeretal.(eds.),MiningSocialNetworksandSecurityInformatics,145LectureNotesinSocialNetworks,DOI10.1007/978-94-007-6359-3_8,©SpringerScience+BusinessMediaDord
7、recht2013146B.B.GuptaandN.Jamaliandanomaliesareidentifiedwhenevertrafficdeviatesfromnormalprofilebeyondathreshold[3].Proposedapproachutilizesthisdeviationintrafficbeyondthresholdtopredictnumberofzombiesusingiso
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