The state of the art sees content-based filters tending towards collaborative filters, whereby email is filtered at the MTA with users feeding information back about false positives and negatives. While this improves the ability of the filter to track concept drift in spam over time, such approaches make assumptions implicit in centralised spam filtering, such as that all users consider the sam...

Recently, huge number of e-mails is sent and received. These e-mails are classified into spam and non spam ones which are processed with the same priority. To guarantee a higher priority service to non-spam e-mails than that is provided to spam e-mails, a two-priority queue scheme was proposed. There are some drawbacks in the two-priority queue scheme such as it fails to provide a Quality of Se...

ARTICLE INFO Spam is one of the major issue especially email spam, of the todays Internet resulting in financial damage to companies and annoying the users and managing such kind of the mailbox has become a crucial one. These unwanted emails clogs the inbox as well as can be used for various attacks which may destroy user’s information or to reveal his/her identity or data. In this paper we hav...

Anti-spam technology is developing rapidly in recent years. With the emerging applications of machine learning in diverse fields, researchers as well as manufacturers around the world have attempted a large number of related algorithms to prevent spam. In this paper, we designed an effective anti-spam protection system, SpamCooling, based on the mechanism of active learning and parallel heterog...

Unsolicited and undesirable e-mail (spam) is a growing problem for Internet users and service providers. We present the Secure Internet Content Selection (SICS) protocol, an efficient cryptographic mechanism for spam-control, based on allocation of responsibility (liability). With SICS, e-mail is sent with a content label, and a cryptographic protocol ensures labels are authentic and penalizes ...

Spam comprises approximately 90 to 95 percent of all e-mail traffic on the Internet nowadays, and it is a problem far from being solved. The losses caused by spam are estimated to reach up to $87 billion yearly. When fighting spam, most of the proposals focus on the receiver-side and are usually resource-intensive in terms of processing requirements. In this paper we present an approach to addr...

This paper describes a new approach to anti-spam techniques. Instead of having spam filtering software implemented at a mail client or server, we build a mail server agent called MT Proxy to deal with any spam related issue. This server acts a mediate firewall to securely protect our real SMTP mail server. All emails are allowed to come to their recipients, but at either slow or fast speed, dep...

This paper attempts to discuss the spam issue from the Malaysian e-mail users’ perspective. The purpose is to discover how Malaysian users handle the spam e-mail problem. From the experiences we hope to discover the necessary effort needed to be undertaken to face this problem in the context of Malaysia. A survey was conducted to understand how Malaysian individual perceived spam and what they ...

Web Spam is one of the main difficulties that crawlers have to overcome. According to Gyöngyi and Garcia-Molina it is defined as “any deliberate human action that is meant to trigger an unjustifiably favourable relevance or importance of some web pages considering the pages’ true value”. There are several studies on characterising and detecting Web Spam pages. However, none of them deals with a...

Recently the number of undesirable messages coming to e-mail has strongly increased. As spam has changeable character the anti-spam systems should be trainable and dynamical. The machine learning technology is successfully applied in a filtration of e-mail from undesirable messages for a long time. In this paper it is offered to apply Case Based Reasoning technology to a spam filtering problem....