Aida Mustapha
Papers
2
Total Citations
30
H-Index
2
About
Aida Mustapha is a leading researcher at the intersection of cybersecurity and autonomous systems, whose work addresses critical challenges in network defense and unmanned aerial vehicle (UAV) navigation. Her most impactful research focuses on developing adaptive models for detecting and preventing Distributed Denial of Service (DDoS) and flash crowd flooding attacks, with her seminal 2018 paper on this topic accumulating 18 citations. This work demonstrates her expertise in multi-agent systems, software agents, and computer network security, offering innovative solutions to distinguish between malicious traffic and legitimate flash crowds. In parallel, Mustapha has made significant contributions to UAV technology, particularly through her 2018 study on real-time autonomous flight navigation trajectory assessment, which has garnered 12 citations. This research addresses the growing demand for reliable indoor local positioning techniques in robotics and UAV systems, assessing autonomous maneuvering capabilities in dynamic environments. Her work spans diverse domains including feature extraction, mobile ad hoc networks, and routing protocols, reflecting a versatile approach to solving complex technological problems. Mustapha's research is particularly valuable for students and practitioners working at the nexus of cybersecurity and autonomous systems, offering practical frameworks for enhancing both network resilience and aerial vehicle autonomy.
Research Focus
Key Achievements
Top Papers
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- 2