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...

–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...

Spam is no more garbage but risk as it includes virus attachments and spyware agents which make the recipients’ system ruined, therefore, there is an emerging need for spam detection. Many spam detection techniques based on machine learning algorithms have been proposed. As the amount of spam has been increased tremendously using bulk mailing tools, spam detection techniques should deal with it...

Unsolicited bulk email (aka. spam) is a major problem on the Internet. To counter spam, several techniques, ranging from spam filters to mail protocol extensions like hashcash, have been proposed. In this paper we investigate the effectiveness of several spam filtering techniques and technologies. Our analysis was performed by simulating email traffic under different conditions. We show that ge...