Design a spam detector by analyzing user and e-mail behavior | A new algorithm of spam detector

Md. Ariful Islam Khandaker (u. a.)

ISBN 10: 3847326147 / ISBN 13: 9783847326144

Published by LAP LAMBERT Academic Publishing, 2011

About this Item

Design a spam detector by analyzing user and e-mail behavior | A new algorithm of spam detector | Md. Ariful Islam Khandaker (u. a.) | Taschenbuch | 64 S. | Englisch | 2011 | LAP LAMBERT Academic Publishing | EAN 9783847326144 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu.

Seller Inventory # 106671731

Bibliographic Details

• Title: Design a spam detector by analyzing user and e-mail behavior | A new algorithm of spam detector
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2011
• Language: English
• ISBN 10: 3847326147
• ISBN 13: 9783847326144
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 113 grams
• Seller catalogs:
  • Bücher

About this title

Synopsis

A new approach of detecting spam is expressed by this book. It is showing a new idea to detect spam mail which is the most recent threat in Internet users specially for e-mail user.By this book we proposed an efficient algorithm to detect spam. In this paper we tried to analysis every single feature of e-mail. The proposed model builds up with some parts. The algorithm designed by taking the some features of analysis step. Then after passing some real worlds spam and legitimate e-mail we tested our system and it performed a good job.The achievements of our work are-It can detect spam and ham messages separately and It works faster than other system.our proposed system model is not the absolute solution for spam detection. There are lots of possibilities to improve this model. As behavior analysis phase is the most important portion of this paper, so there has a possibility to build up a mail server that can continuously monitors users, after monitoring users it can analysis every single features at least for one year and then it can able to more successfully detects spam messages.

About the Author

To contribute my knowledge towards development through the qualitative application so that, a career growth path can develop me as a perfect Computer Engineer.