Cascaded Anomaly Detection with Coarse Sampling in Distributed Systems

Use of traffic sampling in anomaly detection for high-throughput network links

“…The analysis of available literature clearly demonstrates the pursuit of increasing the accuracy of predictive models, but we must not forget about their applicability in real computer networks. In this study, the authors decided to investigate the impact of data set impoverishment (sampling) on the sensitivity of the anomaly detection model and whether it The developed detection layer at the ISP access link can serve as an additional layer of protection against cyber-attacks in cascade anomaly detection systems [19]. If the detection effectiveness of the model slightly decreases with decreasing traffic sampling frequency, it will positively contribute to reducing the amount of necessary measurement data to be transmitted and the processing time required, thus increasing the applicability of the solution in real networks.…”

Eficiency of REST and gRPC Realizing Communication Tasks in Microservice-Based Ecosystems

“…In such architecture, performance of the implemented system is directly influenced by the choice of communication mechanisms between individual microservices. Note that, today, microservices have become more and more popular, and find their way to large-scale heterogeneous deployments, such as in the Internet of Things (IoT), Industry 4.0 [3][4][5][6][7] including cyber-physical systems [8][9]. Dedicated methodologies have also been developed for this class of solutions [10].…”