Spam is a universal problem with which everyone is familiar. Figures published in 2005 state that about 75% of all email sent today is spam. In spite of significant new legal and technical approaches to combat it, spam remains a big problem that is costing companies meaningful amounts of money in lost productivity, clogged email systems, bandwidth and technical support. A number of approaches a...

Mail marketing is an effective communication medium for users and internet providers. Many companies use email as a mean of with customers to ensure are not left behind the latest information, at once provide personalized offers specific customers. However, all emails that sent reach mail inbox expected. There several factors cause including content does comply writing rules tends have SPAM sig...

Salting is the intentional addition or distortion of content, aimed to evade automatic filtering. Salting is usually found in spam emails. Salting can also be hidden in phishing emails, which aim to steal personal information from users. We present a novel method that detects hidden salting tricks as visual anomalies in text. We solely use these salting tricks to successfully classify emails as...

Traditional spam detection systems either rely on content analysis to detect spam emails, or attempt to detect spammers before they send a message, (i.e., they rely on the origin of the message). In this paper, we introduce a third approach: we present a system for filtering spam that takes into account how messages are sent by spammers. More precisely, we focus on the email delivery mechanism,...

Using statistical machine learning for making security decisions introduces new vulnerabilities in large scale systems. We show how an adversary can exploit statistical machine learning, as used in the SpamBayes spam filter, to render it useless—even if the adversary’s access is limited to only 1% of the spam training messages. We demonstrate three new attacks that successfully make the filter ...

The fact that spam has become a ubiquitous problem has led to much research which concentrates on the development of tools to identify spam and prevent it from reaching the user’s mailbox. Less effort has been devoted to a question that is related to spam, namely: how to distinguish important messages from unimportant ones. The TrustMail project uses reputation ratings in social networks to sco...

Abstract Spam electronic mails (emails) refer to harmful and unwanted commercial emails sent corporate bodies or individuals cause harm. Even though such are often used for advertising services products, they sometimes contain links malware phishing hosting websites through which private information can be stolen. This study shows how the adaptive intelligent learning approach, based on visual ...

Like it or not, unsolicited bulk commercial email (aka “spam”) has become a regular menu item on the Internet information diet. To combat the daily onslaught of spam clogging people’s email inboxes, much work is being done on the development of effective spam control methods, most of which follow the same basic theme of establishing a “front line” of defense at the end-user level. However, deal...

Email has become one of the frequently used forms of communication. Everyone has at least one email account. Inflow of spam messages is a major problem faced by email users. Currently there are many spam filtering techniques. As the spam filtering techniques came up, spammers improved their methods of spamming. Thus, an effective spam filtering technique is the timely requirement. In this paper...

This paper presents a hybrid Bayesian algorithm using Swarm intelligence to recognize and block SPAM Emails. Electronic mail is widely used for personal and business communication. Due to low cost communication by using emails for sender, several people and companies use it to quickly distribute unsolicited bulk messages, also called spam, to a large number of recipients. Due to unnecessary tra...