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Illicit messages like threatening and abusive messages affect emotions and psychology of a person. Such messages start exerting influence on mental status, and ultimately physical condition of a person. E-mails are one of the popularly used sources, for ...

Automatic e-mail categorization with traditional classification methods requires labelling of training data. In a real-life setting, this labelling disturbs the working flow of the user. We argue that it might be helpful to use documents, which are ...

This paper is about using existing directory structures on the file system as models for e-mail classification. This is motivated by the aim to reduce the effort for users to organize their information flow.

Classifiers were trained on categorized ...

We introduce a novel approach to incremental e-mail categorization based on identifying and exploiting "clumps" of messages that are classified similarly. Clumping reflects the local coherence of a classification scheme and is particularly important in ...

Although they sometimes seem harmless, hoaxes represent not-negligible threat to individuals' awareness of real-life situations by deceiving them, and at the same time doing harm to the image of their organizations, which can lead to substantial ...

This paper proposes a new e-mail classification method based on the Artificial Immune System (AIS), which is endowed with good diversity and self-adaptive ability by using the immune learning, immune memory, and immune recognition. In our method, the ...

The increase of image spam, a kind of spam in which the text message is embedded into an attached image to defeat spam filtering techniques, is becoming an increasingly major problem. For nearly a decade, content based filtering using text ...

E-mail is one of the most common communication methods among people on the Internet. However, the increase of e-mail misuse/abuse has resulted in an increasing volume of spam e-mail over recent years. As spammers always try to find a way to evade ...

This paper presents a system for classifying e-mails into two categories, legitimate and fraudulent. This classifier system is based on the serial application of three filters: a Bayesian filter that classifies the textual content of e-mails, a ...

This paper presents a system for classifying e-mails into two categories, legitimate and fraudulent. This classifier system is based on the serial application of three filters: a Bayesian filter that classifies the textual content of e-mails, a rule- ...

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 ...

This paper presents a system for automatically detecting and filtering unsolicited electronic messages. The underlying hybrid filtering method is based on e-mail origin and content. The system classifies each of the three parts of e-mails separately by ...

This study suggests a recommendation agent system that the user can optimally sort out incoming email messages according to category. The system is an effective way to manage ever-increasing email documents. For more accurate classification, the Bayesian ...