Explainable phishing website detection for secure and sustainable cyber infrastructure. [PDF]
Kehkashan T +6 more
europepmc +1 more source
Transparent and trustworthy CyberSecurity: an XAI-integrated big data framework for phishing attack detection. [PDF]
Nauman M +4 more
europepmc +1 more source
Bridging data gaps and tackling human vulnerabilities in healthcare cybersecurity with generative AI. [PDF]
Jalali MS, Largman K.
europepmc +1 more source
PhishNet 1.0: optuna-optimized stacking ensemble with Boruta-based feature selection for phishing URL detection. [PDF]
Jain A +7 more
europepmc +1 more source
Editorial: Machine learning for cybersecurity. [PDF]
Wickramasinghe Brahmana CS +3 more
europepmc +1 more source
Relational Framework of Cyberattacks: Empirical Evidence from Multistage Incidents. [PDF]
Ferrer-Oliva M +3 more
europepmc +1 more source
Exploring Phishing Attacks and Countermeasures
Online banking and e-commerce applications have good protection against attacks directed direct towards their computer systems. This, the attacker has considered and instead use “social engineering” attacks, such as phishing to gain access to the information inside [1] [15] [21]. Phishing is a growing problem that many different companies are trying to
openaire +1 more source
Optimized ensemble machine learning model for cyberattack classification in industrial IoT. [PDF]
Alabdullah B, Sankaranarayanan S.
europepmc +1 more source
Phishing Attacks and Anti Phishing Techniques
openaire +1 more source

