Title
Spam Detection: Increasing Accuracy With A Hybrid Solution
Abstract
A significant increase in the amount of e-mail spam has become a major concern to both organizations and employees. This article identifies and compares three different types of spam-detection approaches: list-based, content-scanning, and forged-e-mail detection. Because none of these approaches provides a comprehensive solution, a hybrid solution, which maximizes their collective strengths and minimizes their individual weaknesses, is proposed and tested with a prototype tool developed by the authors.
Year
DOI
Venue
2006
10.1201/1078.10580530/45769.23.1.20061201/91773.7
INFORMATION SYSTEMS MANAGEMENT
Field
DocType
Volume
Computer security,Computer science,Filter (signal processing),Information and Communications Technology,Hybrid system,The Internet
Journal
23
Issue
ISSN
Citations 
1
1058-0530
1
PageRank 
References 
Authors
0.43
6
2
Name
Order
Citations
PageRank
Joon S. Park152952.78
Ashutosh Deshpande210.43