A Novel Cross Validated Information Security Framework for Digital Information Systems

Secure multi-party computation is one of the current hot spots in cryptographic research, which means that multiple participants work together to further detect the attack. Inspired by this idea, this study proposes the novel cross validated information security framework for digital information systems. At the same time, considering that the traditional measurement indicators are easy to operate and widely used, but they are all measurement methods based on a single threshold, so when evaluating the model, they are susceptible to the impact of category imbalance and mis-classification costs, and there may also be a measurement indicator paradoxical situation where a metric is high and another metric is low. Then, the discrete value is selected to evaluated the designed algorithm. The designed model is the combination of improved game model and cross validated algorithm. The test is conducted under different data size and the different comparison algorithms. From the discrete value perspective, the proposed model performance better.