the term ‘spam’ addresses unsolicited emails sent in bulk; therefore, the term‘financial fraud spam’ refers to unwanted bulk emails in which different tricks and techniques areemployed to swindle money from the recipients. estimates show that more than 80% of worldwideemail traffic in 2011 was spam. it should be noted that while the number of daily spam emails in2002 was 2.4 billion, this numbe...

E-mail has become indispensable in today’s networked society. However, the huge and ever-growing volume of spam has become a serious threat to this important communication medium. It not only affects e-mail recipients, but also causes a significant overload to mail servers which handle the e-mail transmission. We perform an extensive analysis of IP addresses and IP aggregates given by network-a...

Electronic messages are still considered the most significant tools in business and personal applications due to their low cost easy access. However, e-mails have become a major problem owing high amount of junk mail, named spam, which fill e-mail boxes users. Several approaches been proposed detect such as filters implemented servers user-based spam message classification mechanisms. A with th...

The term ‘spam’ addresses unsolicited emails sent in bulk; therefore, the term‘financial fraud spam’ refers to unwanted bulk emails in which different tricks and techniques areemployed to swindle money from the recipients. Estimates show that more than 80% of worldwideemail traffic in 2011 was spam. It should be noted that while the number of daily spam emails in2002 was 2.4 billion, this numbe...

In this paper anti-spam filtering is presented as a cumbersome service, as opposed to a software product perspective. The huge human effort for setting up, adaptation, maintenance, and tuning of filters for spam detection in anti-spam systems is explained. Choosing the best importance scores for the spam filters is essential for the accuracy of any rules based anti-spam system, and is also one ...

Spamming along A federal court in Alexandria, Virginia, has held that spammer LGCM, Inc. was liable to America Online (AOL) for fraud. LGCM thwarted AOL’s anti-spam software, the court found, and sent out over AOL’s system millions of unsolicited emails that solicited business for pornographic Web sites. The court’s November 1998 order of summary judgment required LGCM to cease abusing AOL’s sy...

E-mail has become one of the most important communication media for business and private purposes. Large amounts of past e-mail records reside on corporate servers and desktop clients. There is a huge potential for mining this data. E-mail filing and spam filtering are wellestablished e-mail mining tasks. E-mail filing addresses the assignment of incoming e-mails to predefined categories to sup...

The aim of Text Categorization is to automatically assign documents to a set of predefined categories. The prevailing approach is making use of a collection of precategorized examples for the induction of a document classifier through learning methods. In this paper we introduce a method which combines state-of-the-art learning techniques with background knowledge. We have used KAON ontology fo...