A threat-oriented digital twinning methodology and open-source modular twin is introduced for security evaluation of autonomous platforms, translating threat analysis into controllable tests for spoofing, replay, and adversarial ML attacks.
1109/SEEDA-CECNSM53056.2021.9566277
2 Pith papers cite this work. Polarity classification is still indexing.
2
Pith papers citing it
fields
cs.CR 2years
2026 2verdicts
UNVERDICTED 2representative citing papers
HySecTwin integrates semantic modeling with hybrid deterministic and fuzzy reasoning in digital twins to achieve faster, more interpretable threat detection in CPS with sub-millisecond latency.
citing papers explorer
-
Threat-Oriented Digital Twinning for Security Evaluation of Autonomous Platforms
A threat-oriented digital twinning methodology and open-source modular twin is introduced for security evaluation of autonomous platforms, translating threat analysis into controllable tests for spoofing, replay, and adversarial ML attacks.
-
HySecTwin: A Knowledge-Driven Digital Twin Framework Augmented with Hybrid Reasoning for Cyber-Physical Systems
HySecTwin integrates semantic modeling with hybrid deterministic and fuzzy reasoning in digital twins to achieve faster, more interpretable threat detection in CPS with sub-millisecond latency.