| dc.contributor | 傳播學院 | en_US |
| dc.creator (作者) | 許志堅 | zh_TW |
| dc.creator (作者) | Sheu, Jyh-Jian | en_US |
| dc.date (日期) | 2009.05 | en_US |
| dc.date.accessioned | 30-Jun-2014 18:06:19 (UTC+8) | - |
| dc.date.available | 30-Jun-2014 18:06:19 (UTC+8) | - |
| dc.date.issued (上傳時間) | 30-Jun-2014 18:06:19 (UTC+8) | - |
| dc.identifier.uri (URI) | http://nccur.lib.nccu.edu.tw/handle/140.119/67034 | - |
| dc.description.abstract (摘要) | The e-mail`s header session usually contains important attributes such as e-mail title, sender`s name, sender`s e-mail address, sending date, which are helpful to classication of e-mails. In this paper, we apply decision tree data mining technique to header`s basic attributes to analyze the association rules of spam e-mails and propose an efficient spam ¯ltering method to accurately identify spam and legitimate e-mails. According to the experiment of applying numerous Chinese e-mails to our spam ¯ltering method, we obtain the following excellent datums: the Accuracy is 96.5%, the Precision is 96.67%, and the Re-call is 96.3%. Thus, the method proposed in this paper can e±ciently identify the spam e-mails by checking only the header sessions, which can reduce the cost for calculation. | en_US |
| dc.format.extent | 190381 bytes | - |
| dc.format.mimetype | application/pdf | - |
| dc.language.iso | en_US | - |
| dc.relation (關聯) | International Journal of Network Security, 8(3), 334-343 | en_US |
| dc.subject (關鍵詞) | Data mining; decision tree; security; spam filtering | en_US |
| dc.title (題名) | An efficient two-phase spam filtering method based on e-mails categorization | en_US |
| dc.type (資料類型) | article | en |
