Web spam research has been hampered by a lack of statistically significant collections. In this paper, we perform the first large-scale characterization of web spam using content and HTTP session analysis techniques on the Webb Spam Corpus – a collection of about 350,000 web spam pages. Our content analysis results are consistent with the hypothesis that web spam pages are different from normal...

The ever increasing menace of spam is bringing down productivity. More than 70% of the email messages are spam, and it has become a challenge to separate such messages from the legitimate ones. I have developed a spam identification engine which employs naive Bayesian classifier to identify spam. A new concept-based mining model that analyzes terms on the sentence, document is introduced. . The...

Search Engine spam is a web page or a portion of a web page which has been created with the intention of increasing its ranking in search engines. Web spamming refers to actions intended to mislead search engines and give some pages higher ranking than they deserve. Anyone who uses a search engine frequently has most likely encountered a high ranking page that consists of nothing more than a bu...

Search spam is an attack on search engines’ ranking algorithms to promote spam links into top search ranking that they do not deserve. Cloaking is a wellknown search spam technique in which spammers serve one page to search-engine crawlers to optimize ranking, but serve a different page to browser users to maximize potential profit. In this experience report, we investigate a different and rela...

Unsolicited commercial email or spam is recognized as a problem disrupting email communication and costing the community dearly. In order to protect recipients from receiving spam, anti-spam measures building on technologies, such as filters and block lists, have been deployed widely. There is some evidence that certain anti-spam measures based on the purported origin of the spam cause unintend...

Spam doesn't really need an introduction—anyone who owns an email address likely receives spam emails every day. However, spam is much more than just an annoyance. Spam's hidden economic cost for companies in wasted storage, bandwidth, technical support, and most important, the loss of employee productivity, is astronomical. The annual cost of spam for a company with 12,000 employees is approxi...

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 ...