An Adaptive Server-Side Anti-Spam System
| Autor: | Gu-Hsin Lai, 賴谷鑫 |
|---|---|
| Rok vydání: | 2009 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 97 The spread of spam mails have become a serious threat in the Internet. In addition to commercial messages, some malicious messages such as phishing, pornography messages, fraudulent messages and malicious codes are spread via spam. A practical server-side anti-spam system should have ability to (1) filter out growing volume of spam mails correctly; (2) recognize new type of spam mails and (3) manage the increasing spam rules automatically. Most work only focused on single aspect (especially for spam rule generation) to prevent spam mail. However, in real world, spam prevention is not just applying data mining algorithm for rule generation. To filter out spam mails correctly and efficiently in a real world, there are still many issues should be considered in addition to spam rule generation. In this research, we propose and integrate three sub-systems to form a practical anti-spam system, the sub-systems are spam rule generation sub-system, spam rule sharing sub-system and spam rule management sub-system. In this research, rule-based data mining approach is used to generate manageable and shareable spam rules. The latest spam rules are shared through machine-readable XML format. Spam rules stored in mail servers are managed based on statistical testing approach. The Rule management sub-system can automatically enable high performance rules and disable out-of-date rules to improve the miss rate and efficiency of spam filter. This research will develop and integrate the three sub-systems to achieve the goal of spam prevention. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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