Dr. Santosh Kumar Srivastava
GL Bajaj Institute of Technology & Management, Galgotias University, Greater Noida Institute of Technology
About
Dr. Santosh Kumar Srivastava has been an associate professor in the Department of Computer Science and Engineering (AIML), GL Bajaj Institute of Technology and Management, Greater Noida, Uttar Pradesh, India, since 2023.He have 22 years of working experience in the field of Teaching, Research and IT administration. He completed his Ph.D. in Computer Science and Engineering in 2021 from Shri JJT University, Jhunjhunu, Rajasthan, India. Dr. Santosh is a distinguished researcher in the areas of computer networking, wireless technology, network security, and cloud computing. He has published more than ten technical research papers in leading journals and conferences from Scopus, organised an international conference, and published five patents.
Employment
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GL Bajaj Institute of Technology & Management Assosiate Professor2023 - Present
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Galgotias University Faculty2022 - Present
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Greater Noida Institute of Technology Faculty2021 - 2022
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BRCM College of Engineering and Technology Faculty2016 - 2021
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BRCM College of Engineering and Technology IT Manager2010 - 2014
Education
Education history is unavailable.
Projects & Funding
Projects & funding information is unavailable.
Publications (26)
- An Explainable Latent-Attention Hybrid Deep Learning Framework for High-Fidelity Intrusion Detection in IoT and Industrial Cyber Systems Save
- Blockchain Solutions for Securing Internet of Things Networks Save
- Cognitive Firewalls: Reinventing Cybersecurity through Generative Models Save
- Deep Learning Approaches for Real-Time Tennis Match Analysis Save
- Intrusion Detection in Network Using Machine Learning Approaches for Network Security Save
- Preface Save
- Secure IoT Ecosystems with Blockchain Foundations Save
- A Comprehensive Survey of the 6G Network Technologies: Challenges, Possible Attacks, and Future Research Save
- Next-Generation Intrusion Detection: Navigating Challenges and Embracing AI Save
- Integrating Random Forest and XGBoost For Accurate House Rent Prediction Save