Dr. Chithik Raja Mohamed Sinnaiya is a researcher at the University of Technology and Applied Sciences, Salalah, Oman, specializing in big data analytics, cybersecurity, and intelligent systems. With 6 publications, 76 citations, and an h-index of 3, his work focuses on advanced anomaly detection using attention-enhanced LSTM models for identifying zero-day attacks while preserving data privacy. His research contributes to developing secure, scalable, and privacy-aware solutions for real-time data stream analysis in modern digital environments.
Citation Metrics (Scopus)
Citations
Documents
h-index
View Scopus Profile
View Orcid Profile
Featured Publications
Privacy-Preserving Machine Learning Models for Cybersecurity Applications
– Research Article
Deep Learning Approaches for Real-Time Anomaly Detection in Data Streams
– Journal Article
Big Data Analytics for Intrusion Detection Systems: Challenges and Opportunities
– Review Paper
AI-Driven Security Frameworks for Detecting Zero-Day Cyber Threats
– Conference/Journal
Scalable and Privacy-Aware Data Stream Processing using LSTM Networks
– Research Work