博碩士論文 91433011 完整後設資料紀錄

DC 欄位 語言
DC.contributor資訊管理學系在職專班zh_TW
DC.creator陳秀松zh_TW
DC.creatorShow-Song Chenen_US
dc.date.accessioned2004-7-14T07:39:07Z
dc.date.available2004-7-14T07:39:07Z
dc.date.issued2004
dc.identifier.urihttp://ir.lib.ncu.edu.tw:88/thesis/view_etd.asp?URN=91433011
dc.contributor.department資訊管理學系在職專班zh_TW
DC.description國立中央大學zh_TW
DC.descriptionNational Central Universityen_US
dc.description.abstract本研究目的在於解決一般反垃圾郵件軟體(Anti-Spam)未能考慮到個人實際需求,使系統管理員在無法了解個人偏好的情形下,設定垃圾郵件的過濾條件造成正常郵件誤攔的情形,因而設計一種支援回饋機制的個人化垃圾郵件過濾系統,簡稱為PSMF系統(Personalized Spam Mail Filtering System with User Feedback Mechanism)。 PSMF的做法,首先以Lotus Domino建立使用者回饋機制,然後藉由反垃圾郵件軟體所定義的關鍵字,建立關鍵字字庫,最後利用全文檢索的技術,將使用者回饋的垃圾郵件,依照個人的喜好做分類,並將之設定於反垃圾郵件軟體的過濾機制。 本研究已針對實際運用電子郵件處理日常工作的企業員工,實地進行為期兩個月的實驗。以同一組成員分別進行實驗與對照的觀察,每日紀錄攔截與誤攔郵件的比例,藉由本論文所設計的回饋機制與過濾規則的設定,實驗結果證實,實驗組的攔截率高於對照組,而誤攔率的結果也比2003年五月號PC World 雜誌評比結果的平均值17%低,顯示經由使用者實際回饋的機制作為過濾依據,確實較能提高攔截率與降低誤攔的比例。zh_TW
dc.description.abstractThis paper is focus on solving the problem that Anti-spam software faces. It did not consider the user’s preference, which caused false negatives and false positives because the system administrator cannot understand the preference of users. Therefore, a Personalized Spam Mail Filtering System with User Feedback Mechanism (PSMF) is designed to setup private filtering rules to match users’’ preferences. PSMF embedded a feedback program into users’ mailbox to collect their abominated emails. We categorized spam mails with the full text search technology of Lotus Domino according to the classification defined by anti-spam software. Finally we setup the filtering rules on the anti-spam software for our users. The function of PSMF first adopted the full text search technology of Lotus Domino according to the classification defined by anti-spam software. Then, a feedback program was embedded into users’ mailbox to collect their abominated emails. Finally, the filtering rules were setup on the anti-spam software for our users. An experiment on PSMF system was conducted for two months on employees of a corporation who frequently uses the email. Two sets of tests was done with the same group of employees based on two conditions; the first test was to use the PSMF system for a period of time and the second test was not to use the PSMF system for a period of time. The result of the two tests were compared and it showed that PSMF system applying the private filtering rules has a higher succession rate and achieve less false positives than the average rate of 17% of an experiment conducted and published in May 2003 issue of PC World.en_US
DC.subject電子郵件廣告zh_TW
DC.subject垃圾郵件zh_TW
DC.subjectUnsolicited Commercial emailen_US
DC.subjectUnsolicited bulk emailen_US
DC.subjectspamen_US
DC.title具使用者回饋機制之個人化垃圾郵件過濾系統zh_TW
dc.language.isozh-TWzh-TW
DC.titleA Personalized Spam Mail Filtering System with User Feedback Mechanismen_US
DC.type博碩士論文zh_TW
DC.typethesisen_US
DC.publisherNational Central Universityen_US

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