Email has become an integral part of everyday life. Without a second thought we receive bills, bank statements, and sales promotions all to our inbox. Each email has hidden features that can be extracted. In this paper, we present a new mechanism to characterize an email without using content or context called Email Shape Analysis. We explore the applications of the email shape by carrying out ...

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...

A text parser was used to calculate the statistical distribution of words within an email body. This information was used by a neurofuzzy system to determine the spam classification of the email. This process of detecting spam in an email was experimentally found to be 90% efficient. This design is exceptionally good as compared to present day filters based on its simplicity and limited scope o...

Unsolicited email campaigns remain as one of the biggest threats affecting millions of users per day. Spam filters are capable of detecting and avoiding an increasing number of messages, but researchers have quantified a response rate of a 0.006% [1], still significant to turn a considerable profit. While research directions are addressing topics such as better spam filters, or spam detection i...

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 ...

End users are often unaware that their systems have been compromised and are being used to send bulk unsolicited email (spam). We show how automated processing of the email logs recorded on the “smarthost” provided by an ISP for their customer’s outgoing email can be used to detect this spam. The variability and obfuscation being employed by the spammers to avoid detection at the destination cr...

Email has become an integral part of everyday life. Without a second thought we receive bills, bank statements, and sales promotions all to our inbox. Each email has hidden features that can be extracted. In this paper, we present a new mechanism to characterize an email without using content or context called Email Shape Analysis. We explore the applications of the email shape by carrying out ...

Unsolicited emails, popularly referred to as spam, have remained one of the biggest threats cybersecurity globally. More than half emails sent in 2021 were resulting huge financial losses. The tenacity and perpetual presence adversary, spammer, has necessitated need for improved efforts at filtering spam. This study, therefore, developed baseline models random forest extreme gradient boost (XGB...

<span>Nowadays the entire world depends on emails as a communication tool. Spammers try to exploit various vulnerabilities attack users with spam emails. While it is difficult prevent email attacks, many research studies have been developed in last decade an attempt detect These were conducted using machine learning techniques and types of neural networks. However, all their attempts high...