Phishing is a fraud attempt in which an attacker acts as a trusted person or entity to obtain
sensitive information from an internet user. In this Systematic Literature Survey (SLR) …

Phishing attacks aim to steal confidential information using sophisticated methods,
techniques, and tools such as phishing through content injection, social engineering, online …

High-durability concrete is required in extremely cold or ocean environments, making the
design of concrete mixes highly important and complicated. In this study, a hybrid intelligent …

Large Language Models (LLMs) are reshaping the landscape of Machine Learning (ML)
application development. The emergence of versatile LLMs capable of undertaking a wide …

Internet users are continually exposed to phishing as cybercrime in the 21st century. The
objective of phishing is to obtain sensitive information by deceiving a target and using the …

Existing literature on adversarial Machine Learning (ML) focuses either on showing attacks
that break every ML model, or defenses that withstand most attacks. Unfortunately, little …

Machine-learning phishing webpage detectors (ML-PWD) have been shown to suffer from
adversarial manipulations of the HTML code of the input webpage. Nevertheless, the attacks …

In the realm of cybersecurity, phishing stands as a prevalent cyber attack, where attackers
employ various tactics to deceive users into gathering their sensitive information, potentially …

Cross-site scripting (XSS) is one of the major threats menacing the privacy of data and the
navigation of trusted web applications. Since its disclosure in late 1999 by Microsoft security …

To mitigate the evolution of phish websites, various phishing prediction8 schemes are being
optimized eventually. However, the optimized methods produce gratuitous performance …