Dr. CHETAN GUPTA
SAGAR INSTITUTE OF RESEARCH AND TECHNOLOGY SIRT BHOPAL, Technocrats Group of Institutions, Bhopal, Jaypee University of Engineering and Technology
About
Dr. Chetan Gupta Completed B.E. from All Saints’ College of Technology, Bhopal in Computer Science & Engineering with (with Honors) in 2011. Completed M. Tech. from Technocrats Institute of Technology, Bhopal in Computer Science & Engineering with (with Honors) in 2014 and Completed Doctor of Philosophy (PhD) from Jaypee University of Engineering & Technology, Guna in Computer Science & Engineering in 2026. He has published many research papers in reputed international SCI journals and SCOPUS INDEX Conferences.
Employment
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SAGAR INSTITUTE OF RESEARCH AND TECHNOLOGY SIRT BHOPAL ASST. PROF.
Education
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Technocrats Group of Institutions, Bhopal M.Tech. CSE2011 - 2014
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Jaypee University of Engineering and Technology Ph.D
Projects & Funding
Projects & funding information is unavailable.
Publications (23)
- Advanced Neural Network Optimization Techniques for Superior Accuracy and Performance in Intrusion Detection Systems Save
- A Comprehensive Framework for Enhancing Intrusion Detection Systems through Advanced Analytical Techniques Save
- Cyber Vigilance Nexus: Advancing Intrusion Detection Network Accuracy Through Deep Learning Optimization Save
- Real-Time Multimodal Context-Aware System for Elderly Care Using Integrated Temporal-Spatial Reasoning in Smart Homes Save
- Intelligent intrusion detection system based on crowd search optimization for attack classification in network security Save
- Intrusion defense: Leveraging ant colony optimization for enhanced multi-optimization in network security Save
- Optimization Accuracy of Intrusion Detection System Based on Multilayered Neural Network Save
- Optimization Accuracy of Malware Classification System Using Convolution Neural Network Save
- An Effective Model for Binary and Multi-classification Based on RFE and XGBoost Methods in Intrusion Detection System Save
- An Enhanced Hybrid Intrusion Detection Based on Crow Search Analysis Optimizations and Artificial Neural Network Save