Occam’s razor-based spam filter

Slicing Spam with Occam's Razor

To evade blacklisting, the vast majority of spam email is sent from exploited MTAs (i.e., botnets) and with forged “From” addresses. In response, the anti-spam community has developed a number of domain-based authentication systems – such as SPF and DKIM – to validate the binding between individual domain names and legitimate mail sources for those domains. In this paper, we explore an alternat...

Network-based spam filter on Twitter

Rapidly growing micro-blogging social networks, such as Twitter, have been infiltrated by large number of spam accounts. Limited to 140 characters, Twitter spam is often vastly different from traditional email spam and link spam such that conventional methods of content-based spam filtering are insufficient. Many researchers have proposed schemes to detect spammers on Twitter. Most of these sch...

A Client-based Anti-spam Filter

Filtron: A Learning-Based Anti-Spam Filter

We present Filtron, a prototype anti-spam filter that integrates the main empirical conclusions of our comprehensive analysis on using machine learning to construct effective personalized anti-spam filters. Filtron is based on the experimental results over several design parameters on four publicly available benchmark corpora. After describing Filtron’s architecture, we assess its behavior in r...

Spam Filter Analysis

Unsolicited bulk email (aka. spam) is a major problem on the Internet. To counter spam, several techniques, ranging from spam filters to mail protocol extensions like hashcash, have been proposed. In this paper we investigate the effectiveness of several spam filtering techniques and technologies. Our analysis was performed by simulating email traffic under different conditions. We show that ge...