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

Khandaker, Md. Ariful Islam; Kulsum, Ummay

 
9783847326144: Design a spam detector by analyzing user and e-mail behavior: A new algorithm of spam detector
Couverture souple
ISBN 10 : 3847326147 ISBN 13 : 9783847326144
Editeur : LAP LAMBERT Academic Publishing, 2011

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.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

Présentation de l'éditeur

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.

Biographie de l'auteur

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

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Éditeur
LAP LAMBERT Academic Publishing
Date d'édition
2011
Langue
anglais
ISBN 10 
3847326147
ISBN 13 
9783847326144
Reliure
Broché
Nombre de pages
64
Coordonnées du fabricant
non disponible
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