A significant negative impact of spam e-mail is not limited only to the serious waste resources, time, and efforts, but also increases communications overload cybercrime. Perhaps most damaging aspect email that it has become such a major tool for attacks cross-site scripting, malware infection, phishing, request forgery, etc. Due nature adaptive unsolicited spam, been weakening effect previous ...

Phishing/Spam is an attack that deals with social engineering methodology to illegally acquire and use someone else’s data on behalf of legitimate website for own benefits. Phishing emails are messages designed to fool the recipient into handing over personal information, such as login names, passwords, credit card numbers, account credentials, social security numbers etc. Fraudulent emails har...

Most studies on spam thus far have focused on its content or source. These types of studies, however, reveal little about the behavioral characteristics of spammers. In addition, privacy issues may prevent wide access to email content. In this paper, we try to identify spammers by investigating their resource usage patterns. Specifically, we look at usage patterns of harvesters, the bots that a...

Email spam is a significant problem for ISPs and Internet users. While part of the solution is legislative, there remains many avenues for innovative technological spammitigation techniques. We propose a novel TCP-layer algorithm that statistically accepts or rejects in-bound TCP connection requests based on the recent past history of spam injection from particular source IP addresses. Our sche...

Email has become one of the fastest and most economical forms of communication. However, the increase of email users has resulted in the dramatic increase of spam emails during the past few years. As spammers always try to find a way to evade existing filters, new filters need to be developed to catch spam. Generally, the main tool for email filtering is based on text classification. A classifi...

In this paper we consider the approach to image spam filtering based on using image classifiers aimed at discriminating between ham and spam images, previously proposed by other authors. In previous works this approach was implemented using “generic” image features. In this paper we show that its effectiveness can be improved by using specific features related to the graphical characteristics o...

Spam is now seized the Internet in phenomenal proportions since a high percentage of total emails exchanged on the Internet. In the fight against spam, the authors are interested in this article experiencing a meta-heuristic based on social bees. The authors took inspiration from biological model of social bees and especially, their organization in the workplace, and collective intelligence. Th...

Filtering of spam emails is a significant operation in email system. The efficiency of this process is determined by many factors such as number of features, representation of samples, classifier etc. This study covers all these factors and aims to find the optimal settings for email spam filtering. Twelve feature selection methods extensively used in text categorization are implemented to synt...

It is now widely accepted that in many situations where classifiers are deployed, adversaries deliberately manipulate data in order to reduce the classifier’s accuracy. The most prominent example is email spam, where spammers routinely modify emails to get past classifier-based spam filters. In this paper we begin by modeling the interaction between the adversary and the data miner as a finite ...

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...