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An analysis of malware attached in spam
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Im, Eul Gyu | - |
| dc.contributor.author | Han, Kyoung-Soo | - |
| dc.date.accessioned | 2022-07-16T17:56:08Z | - |
| dc.date.available | 2022-07-16T17:56:08Z | - |
| dc.date.issued | 2011-12 | - |
| dc.identifier.issn | 1876-1100 | - |
| dc.identifier.issn | 1876-1119 | - |
| dc.identifier.uri | https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/167010 | - |
| dc.description.abstract | Spam 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.extent | 5 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | Springer Verlag | - |
| dc.title | An analysis of malware attached in spam | - |
| dc.type | Article | - |
| dc.publisher.location | 독일 | - |
| dc.identifier.doi | 10.1007/978-94-007-2911-7_58 | - |
| dc.identifier.scopusid | 2-s2.0-84255187392 | - |
| dc.identifier.bibliographicCitation | Lecture Notes in Electrical Engineering, v.120 LNEE, pp 601 - 605 | - |
| dc.citation.title | Lecture Notes in Electrical Engineering | - |
| dc.citation.volume | 120 LNEE | - |
| dc.citation.startPage | 601 | - |
| dc.citation.endPage | 605 | - |
| dc.type.docType | Conference Paper | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.subject.keywordPlus | Behavior analysis | - |
| dc.subject.keywordPlus | Christmas | - |
| dc.subject.keywordPlus | Cyber-crimes | - |
| dc.subject.keywordPlus | Infected systems | - |
| dc.subject.keywordPlus | Malware analysis | - |
| dc.subject.keywordPlus | Malwares | - |
| dc.subject.keywordPlus | Social engineering | - |
| dc.subject.keywordPlus | Social issues | - |
| dc.subject.keywordPlus | Traffic analysis | - |
| dc.subject.keywordPlus | Internet | - |
| dc.subject.keywordPlus | Network security | - |
| dc.subject.keywordPlus | Computer crime | - |
| dc.subject.keywordAuthor | Behavior analysis | - |
| dc.subject.keywordAuthor | Malware analysis | - |
| dc.subject.keywordAuthor | Spam malware | - |
| dc.subject.keywordAuthor | Traffic analysis | - |
| dc.identifier.url | https://link.springer.com/chapter/10.1007/978-94-007-2911-7_58 | - |
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