| Publisher | University of Georgia | ||
|---|---|---|---|
| Format | 531.7KB PDF | Date added | 01 Jan 2008 |
| Topics | Network Security, Security Management, Spam - E-mail Fraud - Phishing | ||
| Downloads | 6 | ||
Towards addressing the challenges, this paper presents ALPACAS - a privacy-aware framework for collaborative spam filtering. In designing the ALPACAS framework, they make two unique contributions. The first is a feature-preserving message transformation technique that is highly resilient against the latest kinds of spam attacks. The second is a privacy-preserving protocol that provides enhanced privacy guarantees to the participating entities. The experimental results conducted on a real email dataset shows that the proposed framework provides a 10 fold improvement in the false negative rate over the Bayesian-based Bogofilter when faced with one of the recent kinds of spam attacks. Further, the privacy breaches are extremely rare which demonstrate the strong privacy protection provided by the ALPACAS system.
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