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DHTnil垃圾邮件过滤系统的改进方法研究.docx

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DHTnil垃圾邮件过滤系统的改进方法研究 DHTnil垃圾邮件过滤系统的改进方法研究 Abstract Withtheriseofinternettechnology,E-mailhasbecomethemostimportantcommunicationtoolforindividualsandbusinesses.However,spammails,asoneofthemainthreatstoemailcommunication,seriouslyaffectpeople'sworkefficiencyandbringsecurityrisks.DHTnilSpamFilterisawidely-usedsolutionthatutilizesthedistributedhashtable(DHT)tofilteroutspammails.Inthispaper,weanalyzethelimitationsofDHTnilsystemandproposethreeimprovementmethodsbasedondifferentcomputationalmodels,includinganevolutionaryalgorithm,machinelearningalgorithm,anddeeplearningalgorithm.TheresultsshowthattheimprovedDHTnilsystemcanachievebetteraccuracyandperformanceinspamfiltering. Keywords:DHTnil,spamfilter,distributedhashtable,evolutionaryalgorithm,machinelearning,deeplearning Introduction Emailisoneofthemostpopularmeansofcommunicationintheworldtoday,anditisalmostimpossibletoworkwithoutemail.However,unsolicitedemails,commonlyknownasspam,havebecomeasignificantproblemforemailusers.Spamcanbeusedformaliciouspurposessuchasphishing,spamming,andspreadingviruses.Therefore,itisessentialtofindareliablemethodtofilteroutspammails.Amongthevariousmethodsofspamfiltering,theDHTnilsystemthatusesthedistributedhashtable(DHT)isacommonlyusedmethod. TheDHTnilspamfiltersystemadoptsadecentralizedmethodofgeneratingandcheckinghashvalues,whichmakesitefficientandresistanttoattacks.However,theDHTnilsystemhascertainlimitations,includinglowaccuracyinspamfilteringandhighcomputationaloverhead. ThispaperproposesthreeimprovementmethodsbasedondifferentcomputationalmodelstoenhancetheperformanceandaccuracyoftheDHTnilspamfiltersystem.Thesemethodsareanevolutionaryalgorithm,amachinelearningalgorithm,andadeeplearningalgorithm.Theimprovedsystemshowsbetterperformanceandaccuracyinspamfiltering. LimitationsofDHTnilSystem TheDHTnilspamfiltersystemhasitslimitationsandweaknesses.Oneofthelimitationsisitslowaccuracyinidentifyingspamemails.Thesystemusesahashvaluetoidentifyspammails,buthashvaluescanbeeasilymanipulatedbyspammers.Th