Transient spam-bots are hijacked computers that are connected to the Internet for short periods of time, during which they send large amounts of spam. These spam-bots have become a principle source of spam; against which, static countermeasures such as DNS Black Lists are largely ineffective, and content-based filters provide only temporary relief without ongoing tuning and upgrading—a neverend...

Web spam has been recognized as one of the top challenges in the search engine industry [14]. A lot of recent work has addressed the problem of detecting or demoting web spam, including both content spam [16, 12] and link spam [22, 13]. However, any time an anti-spam technique is developed, spammers will design new spamming techniques to confuse search engine ranking methods and spam detection ...

Background Traditional client level spam filters rely on rule based heuristics. While these filters can be effective they have several limitations. The rules must be created by hand. This requires the filter creator to examine a corpus of spam and cull out characteristics. This is a time consuming process and it is easy to miss rules which are quite effective at detecting spam. While the word ”...

This study examines attention-driven investment decisions using a sample of firms essentially unknown to investors prior to becoming the target of a stock spam campaign. We show that the market reaction to spam varies predictably with the content of the spam message. Spam date returns and volume are significantly higher for stocks targeted by spam emails containing optimistic target price proje...

We investigate the usability of similarity search in fighting Web spam based on the assumption that an unknown spam page is more similar to certain known spam pages than to honest pages. In order to be successful, search engine spam never appears in isolation: we observe link farms and alliances for the sole purpose of search engine ranking manipulation. The artificial nature and strong inside ...

In this paper 1 a study of SMS messages in a large US based cellular carrier utilizing both customer reported SMS spam and network Call Detail Records (CDRs) is conducted to develop a comprehensive understanding of SMS spam in order to develop strategies and approaches to detect and control SMS spam activity. The analysis provides insights into content classification of spam campaigns as well a...

Comment spam has become a popular means for spammers to attract direct visits to target websites, or to manipulate search ranks of the target websites. Through posting a small number of spam messages on each victim website (e.g., normal websites such as forums, wikis, guestbooks, and blogs, which we term as spam harbors in this paper) but spamming on a large variety of harbors, spammers can not...

–While email is one of the fastest form of communication, the user is frequently faced with receiving unsolicited emails called spams. Nonspam mails are known as hams which are legitimate mails. It is practically very difficult to perfectly classify a mail into spam or ham basing on the content or subject of the mail. Several statistical methods are available which classify mails with some chan...

A great deal of spam comes from botnets and there is considerable interest in arranging for the bots (the compromised machines) to be made secure. In practice, the owner of the compromised machine can only be contacted via their ISP, and their helpfulness is known to vary. This variation has led to attempts to count the bots on particular networks and thereby assess the ISP’s reputation. This p...