Defending Network Intrusion Detection Systems Based on Graph Neural Networks against Structural Adversarial Attacks

Graph Neural Networks GNNs represent a promising solution for Machine Learning ML based Network Intrusion Detection Systems NIDS, thanks to their ability to leverage both network flow features and topological patterns. While GNN classifiers demonstrate superior robustness against feature-based...

Better Real User Monitoring with BoomerangJS and Akamai mPulse

In this blog, we'll walk through a few different snippet insertion methods and available optimizations. Akamai's real user monitoring RUM solution, mPulse, uses a bit of JavaScript code an mPulse snippet and the BoomerangJS library to collect performance data from a user's Web browser. However, t...