Email is the most common and comparatively the most efficient means of exchanging information in today's world. However, given the widespread use of emails in all sectors, they have been the target of spammers since the beginning. Filtering spam emails has now led to critical actions such as forensic activities based on mining spam email. The data mine for spam emails at the University of Alaba...

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...

This research proposed an improved filtering spam technique for suspected emails, messages based on feature weight and the combination of two-step clustering and logistic regression algorithm. Unique, important features are used as the optimum input for a hybrid proposed approach. This study adopted a spam detector model based on distance measure and threshold value. The aim of this model was t...

Spam detection has become a necessity for successful email communications, security and convenience. This paper describes a learning process where the text of incoming emails is analysed and filtered based on the salient features identified. The method described has promising results and at the same time significantly better performance than other statistical and probabilistic methods. The sali...

We present an anti-spam filtering framework that combines text-based and image-based anti-spam filters. First, an incremental learning approach to reducing mismatches between training and test datasets is proposed to resolve the problem of a lack of training data for legitimate emails that contain both text and images. Then, the outputs of text-based and image-based filters are combined with th...

Email is an increasingly important and ubiquitous means of communication, both facilitating contact between private individuals and enabling rises in the productivity of organizations. However the relentless rise of automatic unauthorized emails, a.k.a. spam is eroding away much of the attractiveness of email communication. Most of the attention dedicated to date to spam detection has focused o...

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 recent times, the problem of Unsolicited Bulk Email (UBE) or commonly known as Spam Email, has increased at a tremendous growth rate. We present an analysis of survey based on classifications of UBE in various research works. There are many research instances for classification between spam and non-spam emails but very few research instances are available for classification of spam emails, p...

Spam emails are often used to advertise phishing websites and lure users to visit such sites. URL blacklisting is a widely used technique for blocking malicious phishing websites. To prepare an effective blacklist, it is necessary to analyze possible threats and include the identified malicious sites in the blacklist. However, the number of URLs acquired from spam emails is quite large. Fetchin...