Machine learning is of rising importance in cybersecurity. The primary objective of applying
machine learning in cybersecurity is to make the process of malware detection more …

Nowadays, emails are used across almost every field, spanning from business to education.
Broadly, emails can be categorized as either ham or spam. Email spam, also known as junk …

The proliferation of digital communication and social media platforms has led to an upsurge
in spam messages across various languages, including Bangla. These intrusive messages …

The increasing volume of unsolicited bulk emails has become a major threat to global
security. While a significant amount of research has been carried out in terms of proposing …

Despite continued research, phishing email attacks are on the rise and there is a lack of rich
curated datasets for training and testing email filtering techniques. To address this, we …

Aptitude, in terms of human facial recognition, cases prior one of digital image's fundamental
parts. This conveys facial parameters in many social contexts. Medical imaging, robotics …

SMS spam detection is crucial for ensuring text messaging systems' security and usability.
Spam messages, also known as unwanted text messages, can be a nuisance and be used …

Cloud computing is one of the most attractive and cost-saving models, which provides online
services to end-users. Cloud computing allows the user to access data directly from any …

Phishing emails, a type of cyberattack using fake emails, are difficult to recognize due to
sophisticated techniques employed by attackers. In this paper, we use a natural language …

Spam emails pose a threat to individuals. The proliferation of spam emails daily has
rendered traditional machine learning and deep learning methods for screening them …