Mujaheed Abdullahi

Papers

Total Citations

H-Index

About

Mujaheed Abdullahi is a rising researcher at the intersection of cybersecurity and artificial intelligence, with a primary focus on safeguarding cyber-physical systems (CPS) and Internet of Things (IoT) infrastructures. His most cited work, "Deep Learning Model for Cybersecurity Attack Detection in Cyber-Physical Systems" (2022), has already garnered 13 citations, reflecting the timely importance of his contributions. In this influential paper, Abdullahi addresses the escalating security challenges posed by the proliferation of computing devices in critical domains such as smart manufacturing, intelligent transportation, and robotic services. By proposing a deep learning-based detection model, he offers a robust solution for identifying cyber threats in increasingly interconnected environments. His research is particularly vital as CPS and IoT systems become more embedded in daily life, making security a paramount concern. Abdullahi’s work stands out for its practical relevance and potential to enhance the resilience of critical infrastructure against evolving cyberattacks. As a researcher, he demonstrates a clear commitment to bridging the gap between advanced machine learning techniques and real-world security applications, positioning himself as a promising voice in the field of cybersecurity.