Algorithmic-Manipulation Signals from RF+Net Benchmark Benjamin J Gilbert College of the Mainland Robotic Process AutomationDownload
We quantify RF+Net indicators for algorithmic manipulation—regular burst structure, temporal asymmetry, and signature matches—and study calibration under
SNR/interference stress. A simple rules+risk fusion achieves
reliable detection while maintaining conservative behavior on
ambiguous traffic.