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...

EUVD-2025-12475

Malicious code in bioql PyPI...

PT-2025-17969 · Nasa · Nasa Cryptolib

Name of the Vulnerable Software and Affected Versions: NASA CryptoLib versions prior to 1.3.2 Description: The issue is related to the OTAR crypto function in NASA CryptoLib, where the returned status is not checked, potentially leading to spacecraft hijacking. Recommendations: For NASA CryptoLib...