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 the modern life, SMS (Short Message Service) is one of the most necessary services on mobile devices. Because of its popularity, many companies use SMS as an effective marketing and advertising tool. Also, the popularity gives hackers chances to abuse SMS to cheat mobile users and steal personal information in their mobile phones, for example. In this paper, we propose a method to detect spa...

The Short Message Service (SMS) have an important economic impact for end users and service providers. Spam is a serious universal problem that causes problems for almost all users. Several studies have been presented, including implementations of spam filters that prevent spam from reaching their destination. Naïve Bayesian algorithm is one of the most effective approaches used in filtering te...

Mobile SMS spam is on the rise and is a prevalent problem. While recent work has shown that simple machine learning techniques can distinguish between ham and spam with high accuracy, this paper explores the individual contributions of various textual features in the classification process. Our results reveal the surprising finding that simple is better: using the largest spam corpus of which w...

Malicious software infects large numbers of computers around the world. Once compromised, the computers become part of a botnet and take part in many forms of criminal activity, including the sending of unsolicited commercial email or spam. As mobile devices become tightly integrated with the Internet, associated threats such as botnets have begun to migrate onto the devices. This paper describ...

As the use of mobile phones grows, spams are becoming increasingly common in mobile communication such as SMS, calling for research on SMS spam detection. Existing detection techniques for SMS spams have been mostly adapted from those developed for other contexts such as emails and the web without taking into account some unique characteristics of SMS. Additionally, spamming tactics is constant...

Spam is a big problem for email users, and more serious for wireless mobile users with limited bandwidth. The battle between spamming and anti-spamming technologies has been going on for many years. Though many advanced antispamming technologies are progressing significantly, spam is still able to bombard many email users. The problem worsens when some anti-spamming methods unintentionally filt...

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 ...