TinyML-Driven Cybersecurity for Autonomous Spacecraft: Latency-Accuracy Analysis for SPARTA RF and Cyber Threat Detection

Autonomous spacecraft require rapid, lightweight, and reliable onboard detection of cyber-RF threats. Using the SPARTA attack model, we analyze the latency-accuracy trade-offs of TinyML-compatible classical models -- Random Forest, Logistic Regression, SVM, and MLP -- for detecting uplink jamming...

NASA RtRetrievalFramework Code Execution Vulnerability

The NASA RtRetrievalFramework is a framework for retrieving a set of atmospheric parameters from spectrograms with multiple absorption bands. A security vulnerability exists in the Data retrieval function of the RtRetrieval Framework in NASA RtRetrievalFramework version 1.0. A remote attacker cou...