... in 2020 and 2023. IoT classification emerged as the strongest predictor of exploitation, exceeding the influence of CVSS severity tiers. Machine learning models demonstrated strong performance, with CatBoost achieving ROC–AUC values of approximately 0.91, while severity classification models achieved...

... was collected from Indeed.com using a Python tool, followed by text preprocessing and network mapping of AI skills. Findings The analysis shows that AI skills such as machine learning (ML), natural language processing (NLP), predictive analytics and neural networks are in high demand globally. These skills...

... issues require immediate attention. This paper aims to automate the prediction of common vulnerability scoring system (CVSS) metrics from textual descriptions of vulnerabilities, reducing the reliance on manual expert analysis. Design/methodology/approach This study applies machine learning...

... rights only Mobile devices Machine learning Behavioral biometrics Continuous authentication Multi-layer perceptron (MLP) User authentication technology plays a critical role in securing access to online services. Authentication systems identify users only when the session is initiated...

... Malicious human behaviours that insiders within the insider IT sabotage category would possess are studied and mapped to phrases that would appear in email communications. A large email data set is classified according to behavioural characteristics of these employees. Machine learning algorithms are used...