Areas of Interest: Software Defined Networks, IoT, Machine Learning, Network Security.
Education: BE, MTech, PhD
E-mail: ankur.mudgal@juet.ac.in
Contact No. : 8319172774
Dr. Ankur Mudgal is currently serving as an Assistant Professor (Grade-II) in the Department of Computer Science and Engineering. With a strong blend of academic expertise and research orientation, he integrates theoretical insights with practical perspectives to enrich the field of computer science.
He has completed his Doctor of Philosophy (Ph.D.) recently in Computer Science and Engineering from the Indian Institute of Information Technology, Design and Manufacturing (IIITDM), Jabalpur. His research interests primarily focus on Software-Defined Networking (SDN), Network Security, and Anomaly Detection, with a particular emphasis on low-rate DDoS attack detection and mitigation in SDN environments.
Dr. Mudgal has contributed to the research community through publications in reputed international journals and conferences. His work emphasizes building intelligent, secure, and efficient networking solutions that address challenges in modern communication systems.
| FloRa: Flow table low-rate overflow reconnaissance and detection in SDN
A Mudgal, A Verma, M Singh, KS Sahoo, E Elmroth, M Bhuyan
IEEE Transactions on Network and Service Management 21 (6), 6670-6683
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2024 | |
| A study on various attacks of tcp/ip and security challenges in manet layer architecture
G Paliwal, AP Mudgal, S Taterh
Proceedings of Fourth International Conference on Soft Computing for Problem …
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2014 | |
| A hybrid method of medical image de-nosing using subtraction transform and radial biases neural network
A Mudgal, R Singh
International Journal of Computer Sciences and Engineering 3 (9), 54-59
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2015 | |
| SwoRD-Switch flow table overflow and Resource Depletion attack detection in SDN
A Mudgal, M Singh, KS Sahoo, J Rodrigues
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2025 | |
| Towards Adaptive Rule Replacement for Mitigating Inference Attacks in Serverless SDN Framework
A Mudgal, M Singh, A Verma, KS Sahoo, P Townend, M Bhuyan
NOMS 2025-2025 IEEE Network Operations and Management Symposium, 1-7
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2025 | |
| Detection and Mitigation of Slow DDoS in SDN Using Deep Learning
A Mudgal, M Singh, AK Chouhan, A Verma
International Conference on Data Analytics and Cyber Security, 45-57
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2024 | |
| Towards Adaptive Rule Replacement for Mitigating Inference Attacks in Sdn⋆
M Singh, A Mudgal
Available at SSRN 5264687
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