Unsolicited emails, known as spam, are one of the fast growing and costly problems associated with the Internet today. Among the many proposed solutions, a technique using Bayesian filtering is considered as the most effective weapon against spam. Bayesian filtering works by evaluating the probability of different words appearing in legitimate and spam mails and then classifying them based on t...

In the decade since the creation of wireless handheld devices, mobile commerce (m-commerce) has become a ubiquitous channel for accessing information and conducting business. Mobile users can now access information anytime and anywhere. Mobile advertising, retailing, and gambling are popular, and gradually the competition among mobile services providers turns fierce. Hence, some services provid...

In the decade since the creation of wireless handheld devices, mobile commerce (m-commerce) has become a ubiquitous channel for accessing information and conducting business. Mobile users can now access information anytime and anywhere. Mobile advertising, retailing, and gambling are popular, and gradually the competition among mobile services providers turns fierce. Hence, some services provid...

Web spam potentially causes three deleterious effects: unnecessary work for crawlers and search engines; diversion of traffic away from legitimate businesses; and annoyance to search engine users through poorer results. Past research on web spam has focused on spamming techniques, spam suppression techniques, and methods for classifying web content as spam or non-spam. Here we focus on the dete...

Opinion spam, intentionally written by spammers who do not have actual experience with services or products, has recently become a factor that undermines the credibility of information online. In recent years, studies have attempted to detect opinion spam using machine learning algorithms. However, limitations of goldstandard spam datasets still prove to be a major obstacle in opinion spam rese...

The paper presents a brief survey of the fight between spammers and antispam software developers, and also describes new approaches to spam filtering. In the first two sections we present a survey of the currently existing spam types. Some well-mapped spammer tricks are also described, although the imagination of spam distributors is endless, and therefore only the most common tricks are covere...

The existance of networks of ‘bots’ raises the possibility of a new type of spam that breaks the current paradigm of spam defense, in which the defence acts purely as a filter. This spam, which we call parasitic spam, looks to a filter very much like spam with scraped text, but contains instead legitimate content going from a legitimate sender to a legitimate recipient. In this problem statemen...

The Spamalot system uses intelligent agents to interact with spam messages and systems referenced in spam. The goal of Spamalot is to consume spam senders’ resources by engaging the spammer in an unproductive conversation or information exchange. To date two Spamalot agents have been implemented: Arthur which handles Nigerian spam and Patsy which processes spam requesting information via web fo...

Increased use of email in daily transactions for many businesses or general communication due to its cost-effectiveness has made emails vulnerable attacks, including spam. Spam are unsolicited messages that very similar each other and sent multiple recipients randomly. This study analyzes the Rotation Forest model modifies it spam classification problem. Also, aim this is create a better classi...