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An analysis of malware attached in spam

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dc.contributor.authorIm, Eul Gyu-
dc.contributor.authorHan, Kyoung-Soo-
dc.date.accessioned2022-07-16T17:56:08Z-
dc.date.available2022-07-16T17:56:08Z-
dc.date.issued2011-12-
dc.identifier.issn1876-1100-
dc.identifier.issn1876-1119-
dc.identifier.urihttps://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/167010-
dc.description.abstractSpam is usually used to propagate malware. Most spam leads to click the links or attached files by disguising it with social issues, entertainers, events, Christmas or New Year greetings, and friends using social engineering techniques. As a user clicks it, the user's system is infected with malware. The infected systems can be used to various cyber-crimes. Recently such spam has been increased and that includes executable malware. In this paper, the results of the analysis of the malware attached in spam are presented.-
dc.format.extent5-
dc.language영어-
dc.language.isoENG-
dc.publisherSpringer Verlag-
dc.titleAn analysis of malware attached in spam-
dc.typeArticle-
dc.publisher.location독일-
dc.identifier.doi10.1007/978-94-007-2911-7_58-
dc.identifier.scopusid2-s2.0-84255187392-
dc.identifier.bibliographicCitationLecture Notes in Electrical Engineering, v.120 LNEE, pp 601 - 605-
dc.citation.titleLecture Notes in Electrical Engineering-
dc.citation.volume120 LNEE-
dc.citation.startPage601-
dc.citation.endPage605-
dc.type.docTypeConference Paper-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClassscopus-
dc.subject.keywordPlusBehavior analysis-
dc.subject.keywordPlusChristmas-
dc.subject.keywordPlusCyber-crimes-
dc.subject.keywordPlusInfected systems-
dc.subject.keywordPlusMalware analysis-
dc.subject.keywordPlusMalwares-
dc.subject.keywordPlusSocial engineering-
dc.subject.keywordPlusSocial issues-
dc.subject.keywordPlusTraffic analysis-
dc.subject.keywordPlusInternet-
dc.subject.keywordPlusNetwork security-
dc.subject.keywordPlusComputer crime-
dc.subject.keywordAuthorBehavior analysis-
dc.subject.keywordAuthorMalware analysis-
dc.subject.keywordAuthorSpam malware-
dc.subject.keywordAuthorTraffic analysis-
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-94-007-2911-7_58-
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