Internet has become an important part of our lives which is used for nearly all purposes. Internet is like an umbrella providing various services at a single time. One of the important uses of this is, sharing of information. E-mails are the most commonly used utility of internet for communication. The emails contain some unsolicited mails called spam which create the problems for users .Detect...

Researchers initially have addressed the problem of spam detection as a text classification or categorization problem. However, as spammers’ continue to develop new techniques and the type of email content becomes more disparate, text-based anti-spam approaches alone are not sufficiently enough in preventing spam. In an attempt to defeat the anti-spam development technologies, spammers have rec...

To implement a phishing scam, attackers must create a fake website and send spam to attract visitors. To date, empirical research into phishing’s impact has studied either the spam being sent or the website lifetimes. In this paper, we examine both phishing websites and the associated spam to gauge the overall effectiveness of phishing attack and defense. We find that while the bulk of spam is ...

Spam has emerged as a major problem in recent years. The most widely recognized form of spam, is email spam. The accounts which contain spam messages must waste time deleting annoying and possibly offensive message. In this paper, we present a variety of machine learning algorithms to identify spam in e-mail accounts. We design classifier model to automatically determine spam in the accounts so...

Unsolicited email (spam) is still a problem for users of the email service. Even though current email anti-spam solutions filter most spam emails, some still are delivered to the inbox of users. A special class of spam emails advertises websites, e.g., online dating sites or online pharmacies. The success rate of this kind of advertising is rather low, however, as sending an email does only inv...

Email is an increasingly important and ubiquitous mean of communication, both facilitating contact between individuals and enabling rises in the productivity of organizations. However, the relentless rising of automatic unauthorized emails, also known as spam, is eroding away much of the attractiveness of email communication. Most of the attention dedicated to spam detection has focused on the ...

In this paper, using a year (June 2011 to May 2012) of user reported SMS spam messages together with SMS network records collected from a large US based cellular carrier, we carry out a comprehensive study of SMS spamming. Our analysis shows various characteristics of SMS spamming activities, such as spamming rates, victim selection strategies and spatial clustering of spam numbers. Our analysi...

The main challenge of mining sequential patterns is the high processing cost of support counting for large amount of candidate patterns. For solving this problem, SPAM algorithm was proposed in SIGKDD’2002, which utilized a depth-first traversal on the search space combined with a vertical bitmap representation to provide efficient support counting. According to its experimental results, SPAM o...

This paper proposes a mutual detection mechanism between spam blogs and words with bipartite graph clustering for fi ltering spam blogs from updated blog data. Spam blogs are problematic in extracting useful marketing information from the blogosphere; they often appear to be rich sources of information based on individual opinion and social reputation. One characteristic of spam blogs is copied...