SortAlgo-Metrics: Identification of Cloud-Based Server Via a Simple Algorithmic Analysis

This paper introduces a novel technique to detect spoof or fake software systems via the generation of a unique digital signature based on a direct analysis of the construction of the system. Specifically, we model a novel mechanism referred to as SortAlgo-Metrics analysis to identify cloud-based servers. We deployed four cloud-based servers to run four sorting algorithms to allow features extraction that are used for analysis. Consequently, the model has been validated by comparing training data and the testing data with 96% probability. Therefore, with more complex properties pulled out from the cloud-based servers and advanced statistical model, SortAlgo-Metrics mechanism could generate a higher degree of basis numbers for ICMetrics technology entropy key generation for cloud-based server authentication, and other complex systems.