Internet dragged more than half of the world's population into the cyber world. Unfortunately,
with the increase in internet transactions, cybercrimes also increase rapidly. With the …

Machine Learning (ML) represents a pivotal technology for current and future information
systems, and many domains already leverage the capabilities of ML. However, deployment …

Machine learning (ML) has become an important paradigm for cyberthreat detection (CTD)
in the recent years. A substantial research effort has been invested in the development of …

Phishing is a persistent and major threat on the internet that is growing steadily and
dangerously. It is a type of cyber-attack, in which phisher mimics a legitimate website page …

Phishing is a fraudulent attempt by cybercriminals, where the target audience is addressed
by a text message, phone call or e-mail, requesting classified and sensitive information after …

This study proposes a novel machine learning architecture and various learning algorithms
to build-in anti-phishing services for avoiding cyber-phishing attack. For the rapid develop of …

Phishing attacks constitute a significant threat to Internet users. One strategy for mitigating
this threat involves the use of blocklists by Internet Service Providers (ISPs), companies, and …

With the development of e-commerce transaction, phishers and other cybercriminals are
taking advantage and making the online platform insecure by triggering severe threats to …

Data analytics is rapidly being employed in cybersecurity concerns, and has been found to
be beneficial in situations where large amounts of data and heterogeneity make human …

Phishing attacks pose a growing threat to online security, necessitating the development of
highly accurate detection tools. Traditional methods reliant on webpage content features …