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About

Garth V. Crosby is a leading researcher at the intersection of cybersecurity, the Internet of Things (IoT), and artificial intelligence, with a specialized focus on the emerging field of the Internet of Robotic Things (IoRT). His work addresses the critical challenge of securing interconnected robotic systems against sophisticated cyber threats. Crosby’s major contributions center on developing advanced, privacy-preserving intrusion detection systems. He has pioneered the use of machine learning—specifically deep learning models like Convolutional Neural Networks (CNNs), Long Short-Term Memory (LSTM) networks, and Gated Recurrent Units (GRUs)—to identify malicious activity. His 2024 comprehensive review on machine learning-based intrusion detection for IoRT has already garnered 12 citations, establishing it as a foundational reference in the field. More recently, Crosby has advanced the state of the art by integrating federated learning with differential privacy clustering to combat Distributed Denial of Service (DDoS) attacks, a novel approach that enhances security while protecting data confidentiality. His 2025 paper on this topic demonstrates his ongoing commitment to creating robust, scalable, and privacy-aware security frameworks for the next generation of autonomous systems.