Sena Hounsinou

Metropolitan State University, Minnesota State Colleges and Universities System

Papers

Total Citations

H-Index

About

Sena Hounsinou is a rising researcher at the forefront of cybersecurity for the Internet of Robotic Things (IoRT), an emerging field where networked robotic systems meet critical infrastructure. Their work focuses on developing intelligent, privacy-preserving defenses against sophisticated cyber threats, particularly Distributed Denial of Service (DDoS) attacks. Hounsinou’s major contributions include a comprehensive review of machine learning-based intrusion detection for IoRT—cited 12 times and recognized as a foundational survey in the area—and pioneering the integration of federated learning with differential privacy clustering to secure robotic networks without compromising data confidentiality. By evaluating deep learning models like CNNs, LSTMs, and GRUs, Hounsinou has demonstrated how collaborative, privacy-aware approaches can detect anomalies while keeping sensitive robotic data local. Their 2025 paper on federated clustering for DDoS defense represents a novel step toward scalable, real-world IoRT security. With a growing citation record and a clear trajectory from survey to solution, Hounsinou is establishing themselves as a key voice in the intersection of robotics, machine learning, and cybersecurity—work that will be essential as autonomous systems become ubiquitous.