Exploiting Trust for Resilient Hypothesis Testing with Malicious Robots

Keyphrases

• Resilient 100%
• Hypothesis Testing 100%
• Fusion Center 100%
• Two-stage Approach 66%
• Generalized Likelihood Ratio Test 66%
• False Alarm Rate 66%
• Crowdsensing 66%
• Trustworthiness 33%
• Communication Signal 33%
• Noisy Measurements 33%
• Statistical Information 33%
• Sender 33%
• Sybil Attack 33%
• Road Network 33%
• Malicious Attacks 33%
• Traffic Condition 33%
• Binary Hypothesis Testing 33%
• Hardware Experiment 33%
• Multi-robot 33%
• Reporting Strategies 33%
• Centralized Fusion 33%
• Robot Teams 33%
• Google Maps 33%
• Robot Base 33%
• Robot Measurement 33%
• Resilient Decision-making 33%
• Robot Trust 33%

Computer Science

• Robot 100%
• Error Detection 18%
• generalized likelihood-ratio test 18%
• Decision Making 18%
• Robotics 18%
• Probability 18%
• Sybil Attack 9%
• Statistical Information 9%
• Malicious Attack 9%
• Traffic Condition 9%
• multiple robot 9%
• Exploit Framework 9%