"... we develop a framework based on a combination of a neural network together with a dimensionality reduction technique t-SNE (t-distributed stochastic neighbour embedding)... The obtained results, which are based on real insurance data, reveal a clear contrast between the high and low risk policy holders, and indeed improve upon the actual risk estimation performed by the insurer."
“Using cybersecurity certification as the basis for providing a complete defense to liability may not prevent every harm from occurring. However, if organizations invest in certification to avoid lega
Security risk analysis techniques involve identifying security threats in software systems and planning countermeasures. Automation and knowledge reuse aid analysts, but they must interpret and assess
“... this article provides anchorage to scholarly audiences when scrutinizing the extent to which privacy and security measures qualify as ‘appropriate’ in the context of liability claims and actions