Clickthrough logs are becoming an increasingly used source of training data for learning ranking functions. Due to the large impact that the position in search results has on commercial websites, malicious noise is bound to appear in search engine click logs. We present preliminary work in addressing this form of noise, that we term click-spam. We analyze click-spam from a utility standpoint, a...

Spammessages are ubiquitous and extensive interdisciplinary research has tried to come up with effective countermeasures. However, little is known about the response to unsolicited e-mail, partly because spammers do not disclose sales figures. This paper correlates incoming spam messages that promote the investment in particular equity securities with financial market data. We use multivariate ...

Because of the financial gain in achieving a high search engine rank, modifying a web page to unfairly alter its ranking has become a common practice. Techniques to achieve this are generally known as web spam because of the adverse affect on the relevance of the results returned by the search engine. This paper contains an overview of the techniques used to create web spam and the defenses ava...

Spam is not only clogging the Internet traffic by consuming a hefty amount of network bandwidth but it is also a source for e-mail born viruses, spyware, adware and Trojan Horses. It is also used to carry out denial of service, directory harvesting and phishing attacks that directly cause financial losses. Further, the contents of spam are often offensive and contain adult oriented and fraudule...

E-mail is the most prevalent methods for correspondence because of its availability, quick message exchange and low sending cost. Spam mail appears as a serious issue influencing this application today's internet. Spam may contain suspicious URL’s, or may ask for financial information as money exchange information or credit card details. Here comes the scope of filtering spam from legitimate em...

Email spam is the most effective form of online advertising. Unlike telephone marketing, email spamming does not require huge human or financial resources investment. Most existing spam filtering techniques concentrate on the emails’ content. However, most spammers obfuscate their emails’ content to circumvent content-based spam filters. An integrated solution for restricting spam emails is nee...

Bayesian spam filtering is a classification method based on the theory of probability and statistics, and the Bayesian spam filtering based on Mapreduce can solve the defect of the traditional Bayesian spam filtering that consumes large amounts of system resources and network resources when the mail set is pre-training. It needs to classify mails manually in the pre-training phase of mail set, ...

Stock spam is a part of unsolicited electronic mail which wants its receiver to buy a certain share at the stock markets. As there is no direct profit for the sender of this message, impacts on the share prices seem to be the only way to generate earnings by the spam sender. To hide the information within stock spam messages from automatic processing, textual and image-based distortions are use...

Spam is still an open problem from the network operator’s perspective. The common state-of-the-art strategy to place filters against spam is at the recipient’s edge. Although this strategy largely solves the spam problem from the user’s perspective – false positives/negatives may still exist – it cannot prevent spam from traversing the Internet. Consequently, with nowadays around 200 billion sp...