Robust and Energy Efficient Malware Detection for Robotic Cyber-Physical Systems
Author:
Affiliation:
1. Purdue University,West Lafayette,Indiana,USA
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9797459/9797464/09797557.pdf?arnumber=9797557
Reference4 articles.
1. On the robustness of domain constraints;ryan;Proceedings of the 2021 ACM SIGSAC Conference on Computer and Communications Security,0
2. Cryptobotics: Why Robots Need Cyber Safety
3. IEEE 802.15.5 WPAN mesh standard-low rate part: Meshing the wireless sensor networks
4. RoboMal: Malware Detection for Robot Net-work Systems;kaur;Proceedings of the Fifth IEEE International Conference on Robotic Computing,0
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1. Optimal feature selection for malware detection in cyber physical systems using graph convolutional network;Computers and Electrical Engineering;2023-05
2. Swarm Robotics for Ultra-Violet Sterilization Robot;2022 International Conference on Futuristic Technologies (INCOFT);2022-11-25
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