A generative AI-driven cybersecurity framework for small and medium enterprises software development: an ANN-ISM approach. [PDF]
Awan M +5 more
europepmc +1 more source
This study deals with the criminal scheme known as “Phishing”. In the first part of the study a technical analysis of Phishing serves to identify the operational variants of this scheme and the probable victims of this type of attack; in the second part, the scheme is legally decomposed, wi± the indication of the catalog of criminal offenses underlying
openaire +1 more source
A feature-engineered dataset of benign and phishing URLs for machine learning and large language models evaluation. [PDF]
Linh DM, Hung TC.
europepmc +1 more source
Improving phishing email detection performance through deep learning with adaptive optimization. [PDF]
Hosseinzadeh M +7 more
europepmc +1 more source
QR code security: an adaptive retraining approach for dynamic URL-based threat detection. [PDF]
Almousa H, Alsuhibany SA.
europepmc +1 more source
Hybrid MLOps framework for automated lifecycle management of adaptive phishing detection models. [PDF]
Reda A, Taie SA, Shaheen ME.
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
Lightweight malicious URL detection using deep learning and large language models. [PDF]
Kibriya H +5 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
A multi-dimensional DNS domain intelligence dataset for cybersecurity research. [PDF]
Hranický R +6 more
europepmc +1 more source

