Neda Bugshan
Papers
1
Total Citations
19
H-Index
1
About
Dr. Neda Bugshan is a leading researcher at the intersection of cybersecurity, artificial intelligence, and next-generation networking. Her work focuses on fortifying critical infrastructures against evolving cyber threats, particularly within the Industrial Internet of Things (IIoT) and Zero Touch Networks. Her most-cited paper, "Intrusion Detection-Based Ensemble Learning and Microservices for Zero Touch Networks" (2023), has garnered 19 citations and exemplifies her core contribution: designing intelligent, scalable intrusion detection systems that leverage ensemble machine learning and microservice architectures. This approach is pivotal for automating security in complex, dynamic environments like Industry 4.0, where traditional defenses fall short. Dr. Bugshan’s research directly addresses the vulnerabilities introduced by the proliferation of IIoT devices—sensors, robots, and connected technologies—by creating robust, adaptive security frameworks. Her work is not only highly cited but also practically significant, offering a blueprint for resilient, autonomous network defense. Through her innovative fusion of ensemble learning and microservices, Dr. Bugshan is shaping the future of secure, zero-touch network operations, making her a vital voice in the ongoing digital transformation of industry and infrastructure.
Research Focus
Key Achievements
Top Papers
- 1