Dissertation > Excellent graduate degree dissertation topics show

A mixture of spam filtering technology research

Author: ZhouJunZuo
Tutor: QinZhiGuang
School: University of Electronic Science and Technology
Course: Information and Communication Engineering
Keywords: Spam Mail filtering Naive Bayesian text classification techniques Hidden Markov model text disambiguation
CLC: TP393.098
Type: Master's thesis
Year: 2009
Downloads: 127
Quote: 4
Read: Download Dissertation

Abstract


The increasingly serious problem of spam e-mail users per week on average received half of garbage are spam . The anti-spam technology has become a hot research . Study content-based anti-spam filtering technology is the current hot spots . Naive Bayesian text classification technology is the most effective message body content filtering technology . However , the characteristics of spam is changing , Bayesian mail filtering technology often can not adapt to this change . Therefore , the message body of Naive Bayes classification technology and other technical tie up the spam filter changing . Hidden Markov model - based text disambiguation good to make up for the lack of Naive Bayesian text classification techniques to identify \Based on this, the analysis of the basic principles of the Naive Bayesian text classification techniques based on hidden Markov model for text disambiguation mechanism based on Naive Bayesian text classification technique based on hidden Markov model text disambiguation technology combined design of a message body based on Bayesian classification techniques and hidden Markov model - based text disambiguation technology combined combination of spam filtering algorithm , its implementation , and applied to the spam the filtration system . Specifically, this work contains the following: (1) an overview of the research status and development trends of the definition of spam , endangering , domestic and spam filtering . Analysis of the basic principles of the Naive Bayes and hidden Markov model . ( 2) design a filter based on a combination of Naive Bayesian text classification techniques and Hidden Markov model - based text spam disambiguation algorithms . (3) C / C language coding to achieve the combination of filtering algorithms , the focus of the coding algorithm based on hidden Markov model text disambiguation . ( 4 ) Design the above algorithm spam mixed filtration system and do a comparison test and analysis in English corpus , and achieved good results .

Related Dissertations

  1. Application of Data Mining in Email Anti-Spam System,TP393.098
  2. Based on the content of e - mail filtering system,TP393.098
  3. Legal Issues of spam messages Infringement,D922.1
  4. Xigu Telecom IP network security operations center design and implementation,TN915.08
  5. The Design and Implementation of SMS spam filtering system,TP311.52
  6. Research on Junk Mail Filtering Model Based on POP3 in MUA~2,TP393.098
  7. Based on the content analysis of image spam filtering technology research,TP393.098
  8. Second - generation artificial immune system and its application in spam filtering,TP393.098
  9. The Research on Chinese Spams’ Identification Based on SVM,TP393.098
  10. Research advertising type spam messages laws,D922.294
  11. The network text initiative to testing and analysis system,TP391.1
  12. Algorithm based on Bayesian spam filtering system analysis and implementation,TP393.098
  13. Design and Implementation of SMS spam filtering system based on WinCE terminal,TP311.52
  14. Research on Text Clustering Methods and Their Applications,TP391.1
  15. Short text -based message filtering technology research,TP393.098
  16. A Filter System of Image SPAM Email,TP393.098
  17. Network processor-based spam filtering system,TP393.098
  18. REST architecture based on CORBA technology and implement a VoIP Detection System,TN916.2
  19. Research on Spam Filtering Technology Based on Multi-Modal Features,TP393.098
  20. Study on Mechanism of Waste Biocover Soil for CH4 Emission Reduction from Landfill,X705

CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Computer network > General issues > The application of computer network > E-mail ( E -mail )
© 2012 www.DissertationTopic.Net  Mobile