网络诈骗邮件的识别与分类技术研究摘要：随着网络诈骗技术的发展,网络诈骗案件频发，成为网络犯罪的中最值得关注的问题之一。明确网络诈骗犯罪的概念、特征、表现形式,深入了解网络诈骗犯罪的立法现状,以及司法实践中存在的问题,探究预防和控制网络诈骗犯罪的各种有效对策,这对于完善我国网络诈骗犯罪的刑事立法,为打击网络诈骗犯罪司法实践具有重要的作用,对于保障广大网民的财产安全和维护良好的网络秩序同样具有重要意义。本论文以互联网发展为背景，阐述了网络发展快速便捷的同时产生了弊端即网络诈骗，并以网络邮件诈骗为主要研究方向通过研究网络邮件进行诈骗的主要过程，研究网络诈骗邮件的识别及分类技术，同时研究相关防范措施对网络邮件诈骗进行简单的控制和干扰，作出有效的防范安全策略，进一步明确案件侦查管辖,强化侦查协作，以及能够缩小检查范围。关键词：识别分类技术；网络诈骗；人工智能ResearchonIdentificationandClassificationofInternetScamsAbstract:WiththedevelopmentofInternetfraudtechnology,thenumberofnetworkfraudcaseshasbecomeoneofthemostnoteworthyissuesincybercrime.Identifytheconcept,characteristics,andmanifestationsofcyberfraudcrimes,deeplyunderstandthecurrentstatusofcyberfraudcrimelegislation,andexistingproblemsinjudicialpractice,andexplorevariouseffectivecountermeasuresforthepreventionandcontrolofcyberfraudcrimes.ThisistoimprovethecyberfraudcrimesinChina.Criminallegislationplaysanimportantroleincombatingthejudicialpracticeofcyberfraudcrimes,anditisalsoofgreatsignificanceforsafeguardingthesecurityofthevastnumberofInternetusersandmaintainingagoodnetworkorder.ThisthesistakesthedevelopmentoftheInternetasthebackground,expoundsthatthenetworkdevelopmentisfastandconvenient,andatthesametimeithasthedisadvantageofnetworkfraud,andtakesthenetworkmailfraudasthemainresearchdirection.Thispaperstudiesthemainprocessoffraudinthenetworkmailandstudiestheidentificationandclassificationofthenetworkfraudmail.Technology,atthesametime,researchrelatedpreventivemeasurestocontrolandinterferewithnetworkmailfraud,makeeffectivepreventionofsecuritystrategies,furtherclarifythejurisdictionofcaseinvestigation,strengtheninvestigationcooperation,andbeabletonarrowthescopeofinspections.Keywords:Identificationtechnology;Internetfraud;artificialintelligence目录1引言.........................................................42互联网的发展状况.............................................42.1互联网快速发展的优势.............................................................42.2互联网快速发展的弊端.............................................................53网络诈骗出现.................................................53.1互联网安全问题...................................................................53.2诈骗行为.........................................................................6网络电子邮件.................................................................................................................................74网络邮件过滤技术的产生和应用——现有邮件过滤分类技术的应用...85针对网络诈骗邮件的过滤邮件分类技术的研究——人工智能识别.....95.1网络诈骗邮件的过滤识别标准.......................................................91.高危高频关键词汇的检索..........................................................................................................92.IP源地址的追溯..........................................................................................................................93.决策树算法....................................................
