Mobile or SMS spam is a real and growing problem primarily due to the availability of very cheap bulk pre-pay SMS packages and the fact that SMS engenders higher response rates as it is a trusted and personal service. SMS spam filtering is a relatively new task which inherits many issues and solutions from email spam filtering. However it poses its own specific challenges. This paper motivates ...

There are a few key benefits of a case-based approach to spam filtering. First, the many different sub-types of spam suggest that a local learner, such as Case-Based Reasoning (CBR) will perform well. Second, the lazy approach to learning in CBR allows for easy updating as new types of spam arrive. Third, the case-based approach to spam filtering allows for the sharing of cases and thus a shari...

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 ...

Electronic mail, or email, is a method for com-municating using the internet which inexpensive, effective, and fast. Spam type of email where unwanted messages, usually commercial are distributed in large quantities by spammer. The objective such behavior to harm users; these messages need be detected prevented from being sent users first place. In order filter emails, developers have used mach...

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...