JOURNAL ARTICLE

Collaborative Spam Filtering Using E-Mail Networks

Abstract

A distributed spam-filtering system that leverages e-mail networks' topological properties is more efficient and scalable than client-server-based solutions. Large-scale simulations of a prototype system reveal that this approach achieves a near-perfect spam-detection rate while minimizing bandwidth cost.

Keywords:
Computer science Cyberspace Scalability Set (abstract data type) Social network (sociolinguistics) World Wide Web Distributed computing Computer network The Internet Social media Database

Metrics

73
Cited By
13.12
FWCI (Field Weighted Citation Impact)
26
Refs
0.98
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Spam and Phishing Detection
Physical Sciences →  Computer Science →  Information Systems
Complex Network Analysis Techniques
Physical Sciences →  Physics and Astronomy →  Statistical and Nonlinear Physics
Peer-to-Peer Network Technologies
Physical Sciences →  Computer Science →  Computer Networks and Communications

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