Email spam has become costly and difficult to manage in recent years. Many of the mechanisms used for controlling spam are located at local SMTP servers and end-host machines. These mechanisms can place a significant burden on mail servers and end-host machines as the number spam messages received continues to increase. We propose a preliminary architecture that applies spam detection filtering...

A promising anti-spam technique consists in collecting users opinions that given email messages are spam and using this collective judgment to block message propagation to other users. To be effective, this strategy requires a way to identify similarity among email messages, even if the program used by the spammer to generate the messages may try to obfuscate their common origin. In this paper,...

Spam has become a serious problem of Internet, and the current defense is limited to the filters deployed at the recipient side. Little known research has been applied to reduce the volume of spam messages being generated. In this paper, we present a system that dynamically throttles emails based on the message content at the email server provider (ESP) side. The goal of this system is to reduc...

Nowadays, an image spam is an unsolved problem because of two reasons. One is due to the diversity of spamming tricks. The other reason is due to the evolving nature of image spam. As new spam constantly emerging, filters’ effectiveness drops over time. In this paper, we present an effective anti-spam approach to solve the two problems. First, a novel clustering filter is proposed. By exploring...

This paper proposes a new way to improve spam filtering based on the establishment and maintenance of trust between mail domains. An architecture is presented where each mail domain has an associated trust manager that dynamically records trust measures pertaining to other domains. Trust by one mail domain in another is influenced by direct experience as well as recommendations issued by collab...

With the increasing popularity of a E-mail users, E-mail spam problem growing proportionally. Spam filtering with near duplicate matching scheme is widely discussed in recent years. It is based on a known spam database formed by user feedback which cannot fully catch the evolving nature of spam and also it requires much storage. In view of above drawbacks, we proposed an effective spam detectio...

In this paper we present Botlab, a platform that continually monitors and analyzes the behavior of spamoriented botnets. Botlab gathers multiple real-time streams of information about botnets taken from distinct perspectives. By combining and analyzing these streams, Botlab can produce accurate, timely, and comprehensive data about spam botnet behavior. Our prototype system integrates informati...

In this thesis I examine clustering evaluation, with a subfocus on text clusterings specifically. The principal work of this thesis is the development, analysis, and testing of a new internal clustering quality measure called informativeness. I begin by reviewing clustering in general. I then review current clustering quality measures, accompanying this with an in-depth discussion of many of th...

This paper summarizes and analyses data compiled on the activities of email harvesters gathered through a 5,000+ member honey pot system that issues unique addresses based on a visitor’s IP address and specific spidering time. The project, known as Project Honey Pot, has provided data about the geographical source of harvesting and mail processing, the sending patterns of different types of spa...

Spam is increasingly a core problem affecting network security and performance. Indeed, it has been estimated that 80% of all email messages are spam. Content-based filters are a commonly deployed countermeasure, but the current research focus is now moving towards the early detection of spamming hosts. This paper investigates if spammers can be detected at the network level, based on just flow...