We present an approach for detecting link spam common in blog comments by comparing the language models used in the blog post, the comment, and pages linked by the comments. In contrast to other link spam filtering approaches, our method requires no training, no hard-coded rule sets, and no knowledge of complete-web connectivity. Preliminary experiments with identification of typical blog spam ...

Spams are electronic junk mails that are costly for the individuals and organizations who receive them and Internet service providers who handle them. They also highly contribute to the lack of trust in email service by the users, intrusion of privacy, and fraud. Spam detectors with a wide range of effectiveness are exist in the market. To the best of our knowledge, none of the existing spam de...

Our research group has developed new, stateof-the-art antispam software, described in other papers. We are in the process of deploying that software in a large production corporate infrastructure, as a replacement for the prior antispam solution. This paper describes how we went about the deployment, and our experiences therewith, with an eye toward pointing out the icebergs and the lifeboats, ...

We present an approach for detecting link spam common in blog comments by comparing the language models used in the blog post, the comment, and pages linked by the comments. In contrast to other link spam filtering approaches, our method requires no training, no hard-coded rule sets, and no knowledge of complete-web connectivity. Preliminary experiments with identification of typical blog spam ...

An improved e-mail classification method based on Artificial Immune System is proposed in this paper to develop an immune based system by using the immune learning, immune memory in solving complex problems in spam detection. An optimized technique for e-mail classification is accomplished by distinguishing the characteristics of spam and non-spam that is been acquired from trained data set. Th...

In this paper we consider the approach to image spam filtering based on using image classifiers aimed at discriminating between ham and spam images, previously proposed by other authors. In previous works this approach was implemented using “generic” image features. In this paper we show that its effectiveness can be improved by using specific features related to the graphical characteristics o...

Much is said about the importance of investing in information security (Potter 2004; Ernst & Young 2003), but little is known on the extent and effectiveness of such security programmes (Cosgrove Ware 2004). A model that analyses the mechanics of an information security programme is presented. The model attempts to put an upper-bound on the information security expenditure. The concepts of “via...

Recent years have seen a remarkable expansion in economists’ ability to measure corruption. This, in turn, has led to a new generation of well-identified, microeconomic studies. We review the evidence on corruption in developing countries in light of these recent advances, focusing on three questions: how much corruption is there, what are the efficiency consequences of corruption, and what det...

We present a technique to extract regions from a volumetric dataset without introducing any aliasing so that the extracted volume can be explored using direct volume rendering techniques. Extracting regions using binary masks generated by contemporary segmentation approaches typically introduces aliasing at the boundary of the extracted regions. This aliasing is especially visible when the data...

The biopsychosocial model in Anglo-American psychiatry is appraised. Its content and history are described and its scientific and ethical strengths noted. It is situated in relation to competing approaches in the profession, especially an older but enduring biomedical model. The tensions provoked by the latter, in relation to ‘anti-psychiatry’, the users’ movement and ‘critical psychiatry’ are ...