Dr. POOJA KUMARI

About

Dr. Pooja Kumari is currently working as an Assistant Professor in School of Computer Science, UPES Dehradun.
Dr. Pooja has completed her Ph.D. in IoT Security from National Institute of Technology (NIT) Kurukshetra, Haryana. She has a strong academic background with a M.Tech degree in Computer Science and Technology, specializing in Cyber Security, from the Central University of Punjab, Bathinda and B.Tech in Computer Science & Engineering (Honors) from Rajasthan Technical University, Kota, Rajasthan.
Her research interests focus on Cyber Security, IoT Security, System and Network Security, with a keen interest in addressing emerging security threats and defence mechanisms.
Dr. Pooja Kumari has published several research articles in internationally recognized journals and conferences and a book chapter. Her work has provided valuable insights into emerging security challenges and advanced solutions in the digital landscape. Additionally, Dr. Pooja has also been involved in peer reviewing for international journals as well as for conferences, including the IEEE Internet of Things Journal, International Journal of Image and Graphics, Cloud Computing and Data Science Journal, among others.

Employment

• UPES Assistant Professor
  2025 - Present

Education

• National Institute of Technology Kurukshetra PhD
  2021 - 2025
• Central University of Punjab M.Tech
  2017 - 2019
• Rajasthan Technical University B.Tech
  2012 - 2016

Projects & Funding

Projects & funding information is unavailable.

Publications (8)

• Leveraging blockchain and machine learning to counter DDoS attacks over IoT network
  Multimedia Tools and Applications 2025 DOI: 10.1007/s11042-024-18842-4
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• Enhancing Software‐Defined Networking With Dynamic Load Balancing and Fault Tolerance Using a Q‐Learning Approach
  Concurrency and Computation: Practice and Experience 2024 DOI: 10.1002/cpe.8298
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• Intrusion detection and analysis in IoT devices using machine learning models
  Challenges in Large Language Model Development and AI Ethics 2024 DOI: 10.4018/979-8-3693-3860-5.ch012
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• Timely detection of DDoS attacks in IoT with dimensionality reduction
  Cluster Computing 2024 DOI: 10.1007/s10586-024-04392-9
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• Towards Detection of DDoS Attacks in IoT with Optimal Features Selection
  Wireless Personal Communications 2024 DOI: 10.1007/s11277-024-11419-2
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• A comprehensive study of DDoS attacks over IoT network and their countermeasures
  Computers and Security 2023 DOI: 10.1016/j.cose.2023.103096
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• Deep Learning-Powered Multiclass Classification of DDoS Attacks on 6G-Connected IoT Devices
  Proceedings of IEEE International Conference on Modelling Simulation and Intelligent Computing Mosicom 2023 2023 DOI: 10.1109/MoSICom59118.2023.10458778
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• SDN-Enabled IoT to Combat the DDoS Attacks
  Lecture Notes in Networks and Systems 2023 DOI: 10.1007/978-981-99-2100-3_3
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