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 ...

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...

Many students have become avid texters and are seriously reinventing language to accommodate the 160character limit of short messages. They are more interested in getting their messages across and thus becoming less concerned about correct spelling, grammar and punctuation. Since texting has become a way of life of many students, it is feared that the SMS language can affect students’ written p...

Voting through Short Message Service (SMS) technology is fast and reliable as the mobile technology in Malaysia is quite advanced. Most of the SMS voting mechanism is easily understood by the public. There is no need to explain the voting process in detail as almost 80% of the mobile users know how to use the SMS service. SMS voting is just another way of sending a vote to the recipient by usin...

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...

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...

The Subspace Precision and Mean model (SPAM) is a way of representing Gaussian precision and mean values in a reduced dimension. This paper presents some large vocabulary experiments with SPAM and introduces an efficient way to optimize the SPAM basis. We present experiments comparing SPAM, diagonal covariance and full covariance models on a large vocabulary task. We also give explicit formulae...