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Academic Experts
Dr. Shariq Murtuza

Biography

Shariq Murtuza has ten years of teaching experience. Throughout his career, he has taught a variety of subjects, including C Programming, Data Structures, Operating Systems, Systems and Network Programming, Computer Architecture, Cloud Computing, Advanced TCP/IP, Introduction to DevOps, Web Technology, Sensor Technology, Open Source Software Development, Unix Programming, and more.

Educational Qualifications

Pursuing Ph.D. (CSE) from JIIT, Noida., M.Tech. Computer Science and Engineering, B.Tech. Computer Engineering

Research Highlights

Shariq Murtuza works on Software Defined Networks and machine learning for network availability. His key work involves detecting and mitigating link flooding attempts in SDNs using techniques such as network function virtualization.

Areas of Interest
  • Software Defined Networks
  • Artificial Intelligence
  • Computer Network
Publications
  • Murtuza Shariq, and Krishna Asawa. "Early prevention and mitigation of link flooding attacks in software defined networks." Journal of Network and Computer Applications 224 (2024): 103832.
  • Murtuza, Shariq, and Krishna Asawa. "Detection and mitigation of link flooding-based DDoS attacks on a software defined network using network function virtualisation." International Journal of Communication Networks and Distributed Systems 30.2 (2024): 202-226.
  • Murtuza, Shariq, and Krishna Asawa. "Detecting DDoS Attacks in Software Defined Networks (SDNs) with Random Forests." Proceedings of the 2023 Fifteenth International Conference on Contemporary Computing. 2023.
  • Murtuza, Shariq. "Internet of everything: Application and various challenges analysis a survey." 2022 1st International Conference on Informatics (ICI). IEEE, 2022.
  • S. Murtuza and K. Asawa, "Mitigation and Detection of DDoS Attacks in Software Defined Networks," 2018 Eleventh International Conference on Contemporary Computing (IC3), Noida, India, 2018, pp. 13, doi: 10.1109/IC3.2018.8530514.
  • F. Siddiqui, S. Gupta, S. Dubey, S. Murtuza and A. Jain, "Classification and Diagnosis of Invasive Ductal Carcinoma Using Deep Learning," 2020 10th International Conference on Cloud Computing, Data Science & Engineering (Confluence), Noida, India, 2020, pp. 242-247, doi: 10.1109/Confluence47617.2020.9058077.