Matthew Wright

The University of Texas at Arlington

Papers

3

Total Citations

51

H-Index

2

About

Dr. Matthew Wright is a researcher whose work spans the critical intersection of cybersecurity and emerging technologies, with a particular focus on wireless sensor networks and robotics. His most impactful contribution, the 2011 paper "Distributed detection of mobile malicious node attacks in wireless sensor networks," has garnered 47 citations, establishing a foundational framework for identifying and mitigating threats from mobile attackers in distributed sensor environments. This work addresses a core vulnerability in sensor networks—the ability of malicious nodes to move undetected—and proposes a collaborative detection mechanism that has influenced subsequent research in network security. Dr. Wright has also advanced the field of robotics through his 2021 paper "Robotics, Digital Twins and AI: Connecting the Dot Matrix," which, despite its recent publication, offers valuable lessons from real-world robotic development for the energy industry. His earlier 2010 work on robust detection and prevention of wide-spread node compromise further demonstrates his sustained commitment to fortifying wireless sensor networks against large-scale attacks. Dr. Wright’s research is particularly relevant for students and engineers working on secure, resilient autonomous systems in industrial and IoT contexts.

Research Focus

Key Achievements

2
H-Index
3
Papers
51
Total Citations
17
Avg Citations/Paper
🏆 Most Cited Paper
Distributed detection of mobile malicious node attacks in wireless sensor networks
47 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: The University of Texas at Arlington

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago