We briefly describe DalTREC 2005 Spam submission. DalTREC is the TREC research project at Dalhousie University. Four packages were submitted and they resulted in a median performance. The results are interesting and may be seen positive in the light of simplicity of our approaches.

This paper summarizes our participation in the TREC 2005 spam track, in which we consider the use of adaptive statistical data compression models for the spam filtering task. The nature of these models allows them to be employed as Bayesian text classifiers based on character sequences. We experimented with two different compression algorithms under varying model parameters. All four filters th...

Content-based approaches to detecting mobile spam to date have focused mainly on analyzing the topical aspect of a SMS message (what it is about) but not on the stylistic aspect (how it is written). In this paper, as a preliminary step, we investigate the utility of commonly used stylistic features based on shallow linguistic analysis for learning mobile spam filters. Experimental results show ...

One line of objection to Externalism or Anti-Individualism is that, if it were true, causal explanations citing the content of mental states or events would be redundant. Another is that individuation by intentional properties would fail to be individuation by causal powers. My aim in the present paper is to answer these charges. But first a few terminological matters to get the charges into fo...

This paper models the incentives created by career concerns for opinion-producing agents. We ...nd that career concerns can create an incentive for exaggeration or anti-herding, since high-ability agents will have opinions that are more di¤erent from the consensus on average and potential clients will learn more quickly about how di¤erent an agent’s opinions are from the consensus on average th...

In article is considered the method of link spam detection. The basic place in work is detection of “paid” links as a kind of link spam. Here are analysed the significant characteristics of “paid” links. Based on this information algorithm of link spam detection is described. Finally, in article results of algorithm working is given.

This report summarizes our participation in the TREC 2006 spam track, in which we consider the use of Bayesian models for the spam filtering task. Firstly, our anti-spam filter, Kidult, is briefly introduced. And then we try to use weighted adjustment of separating hyperplane and selective classifiers ensemble to improve the filtering performance. Finally, we summarize the relevant results from...

Spam has become a major problem that is threatening the efficiency of the current email system. Spam is overwhelming the Internet because 1) emails are pushed from senders to receivers without much control from recipients, and 2) the cost for delivering emails is very low. In this paper, we present an anti-spam framework that slows down spammers: by adding delay to email delivery, and by consum...

The intent is that these recommendations will help clean up the spam situation, if applied on enough SMTP MTAs on the Internet, and that they should be used as guidelines for the various MTA vendors. We are fully aware that this is not the final solution, but if these recommendations were included, and used, on all Internet SMTP MTAs, things would improve considerably and give time to design a ...

OF THE THESIS Fighting Spam, Phishing and Email Fraud