A Reputation-based Collaborative Approach for Spam Filtering

Abstract

Spam and spam filters are contrarious components of a complex interdependent social ecosystem. Traditional spam filtering techniques or systems are usually designed and deployed individually that neglect the distributed and bulk characteristics of spam. This paper proposes a reputation-based collaborative anti-spam approach. This approach, adopting fingerprinting technique, evaluating reporters’ trust, achieved better performance and robustness than the state-of-the-art in comparison experiments on several known email corpora.