This paper engages in a comprehensive investigation concerning the application of
Explainable Artificial Intelligence (xAI) within the context of deep learning and Artificial …

Generative Artificial Intelligence (GenAI) has emerged as a powerful technology capable of
autonomously producing highly realistic content in various domains, such as text, images …

Phishing, the deceptive act of stealing personal and sensitive information by sending
messages that seem to come from trusted entities, is one of the most widespread and …

Malicious URL classification represents a crucial aspect of cybersecurity. Although existing
work comprises numerous machine learning and deep learning-based URL classification …

Phishing attacks pose a significant threat to online security, utilizing fake websites to steal
sensitive user information. Deep learning techniques, particularly convolutional neural …

With the advent of new attacking methodologies and types of attacks, it has become difficult
to protect the systems. Therefore, it is necessary to decipher the impact of attacks before and …

Abstract Large Language Models (LLMs) offer numerous benefits, but they also pose
threats, such as cybercriminals creating fake, convincing content such as phishing emails …

Explainable AI (XAI) is transforming cybersecurity through increased openness, reliability,
and teamwork among human analysts and AI tools. This comprehensive framework explores …

Pervasive connectivity to the Internet paves the way to cyber threats, which are becoming
more sophisticated and difficult to counteract. Phishing attack is one of the oldest, but still …

A high number of industries utilize supervisory control and data acquisition system for
controlling and monitoring day-to-day operations related to the organization's domain with …