Deep learning transformer models become important by training on text data based on self-
attention mechanisms. This manuscript demonstrated a novel universal spam detection …

Phishing emails are emails that pretend to be from a trusted company that target users to
provide personal or financial information. Sometimes, they include links that may download …

Web search engines (eg Google, Yahoo, Microsoft Live Search, etc.) are widely used to find
certain data among a huge amount of information in a minimal amount of time. However …

Spam continues to inflict increased damage. Varying approaches including Support Vector
Machine (SVM) based techniques have been proposed for spam classification. However …

Elecronic mail (E-mail) is an essential communication tool that has been greatly abused by
spammers to disseminate unwanted information (messages) and spread malicious contents …

Spam email is one of the biggest issues in the world of internet. Spam emails not only
influence the organisations financially but also exasperate the individual email user. This …

Spam, under a variety of shapes and forms, continues to inflict increased damage. Varying
approaches including Support Vector Machine (SVM) techniques have been proposed for …

In this paper, we present a fraudulent email detection model using advanced feature choice.
We extracted various kinds of features and compared the performance of each category of …

Many organisations consider technology as a significant asset to generate income and
control cost. The Web is recognised as the fastest growing publication medium of all time …

The Internet is one of the most important sources of knowledge in the present time. It offers a
huge volume of information which grows dramatically every day. Web search engines (eg …