Charith Perera
Papers
3
Total Citations
27
H-Index
3
About
Charith Perera is a leading researcher at the forefront of industrial cybersecurity and the Internet of Things (IoT), with a focused expertise in safeguarding critical manufacturing infrastructure. His primary contributions lie in developing context-aware anomaly detection systems for industrial cyber-physical systems (ICPS), particularly targeting the vulnerabilities of robotic arms in Industry 4.0 environments. Perera’s seminal work, "CASPER: Context-Aware IoT Anomaly Detection System for Industrial Robotic Arms" (2024), has rapidly accumulated 18 citations, establishing a new benchmark for securing smart factories by leveraging ubiquitous computing to detect subtle, contextual deviations in machine behavior. He has further advanced the field by pioneering real-time anomaly detection on resource-constrained edge devices, as demonstrated in his 2025 publication, which moves beyond traditional built-in sensors to employ external, low-cost IoT hardware. By enabling complex machine learning tasks directly on edge nodes, Perera’s research significantly reduces maintenance costs and enhances operational safety. His work is instrumental in transforming traditional industrial control systems into resilient, self-monitoring cyber-physical systems, making him a key figure in the next wave of secure, autonomous manufacturing.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3