Abstract

We propose a decentralized privacy-preserving approach to spam filtering. Our solution exploits robust digests to identify messages that are a slight variation of one another and a peer-to-peer architec-ture between mail servers to collaboratively share knowledge about spam

Similar works

Full text

thumbnail-image
oai:CiteSeerX.psu:10.1.1.905.8958Last time updated on 11/1/2017

This paper was published in CiteSeerX.

Having an issue?

Is data on this page outdated, violates copyrights or anything else? Report the problem now and we will take corresponding actions after reviewing your request.