About:

Mr. Yogendra Kumar is currently working as an Assistant Professor in the School of Computing Science and Engineering. He has been associated with Galgotias University since 2023. He is pursuing Ph.D. from NIT Hamirpur. Previously, received a Master of Technology from the University of Hyderabad and a Bachelor of Technology from Dr. A.P.J. Abdul Kalam Technical University, Lucknow (formerly GBTU). He has more than 4 years of teaching and research experience in REC Banda (under TEQIP) and GNITS Hyderabad. He has published various research papers in International Journals/Conferences. His area of interest broadly includes Network Security, Intrusion Detection System, and Machine Learning.

Experience and Designation:

• 4 years of teaching experience

Academic Qualification:

• PhD in Computer Science and Engineering
• M. Tech. in Artificial Intelligence
• B. Tech. in Information Technology

Publications:

Journal Articles

1. Y. Kumar and B. Subba, “Stacking ensemble-based HIDS framework for detecting anomalous system processes in Windows based operating systems using multiple word embedding,” Computers & Security, vol. 125, p. 102 961, 2023, (SCI, IF: 5.6), ISSN: 0167-4048. doi: https://doi.org/10.1016/j.cose.2022.102961.

2. Y. Kumar, V. Kumar, and B. Subba, “A novel lightweight NIDS framework for detecting anomalous data traffic in contemporary networks,” Journal of Circuits, Systems and Computers, 2024, (SCI, IF:1.5). doi: https://doi.org/10.1142/S0218126624502281.

3. Y. Kumar and V. Kumar, “A systematic review on intrusion detection system in wireless networks: Variants, attacks, and applications,” Wireless Personal Communications, pp. 1–58, 2023, (SCI, IF: 2.2). doi: https://doi.org/10.1007/s11277-023-10773-x.

4. Y. Kumar and V. Kumar, “Security in IoT systems using natural language processing: Future challenges and directions,” Internet Technology Letters, Wiley Online Library, 2023, (ESCI), ISSN: 2476-1508. doi: https://doi.org/10.1002/itl2.411.

Conference Proceedings

1. H. Verma, N. Kumari, T. Agrawal, and Y. Kumar, “An enhanced cooperative localization strategy for emergency-wsn,” in 2023 Seventh International Conference on Image Information Processing (ICIIP), 2023.

2. Y. Kumar and S. K. Udgata, “Machine learning model for iot-edge device based water quality monitoring,” in IEEE INFOCOM 2022 - IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), 2022, pp. 1–6. doi: 10.1109/INFOCOMWKSHPS54753.2022.9798212.

3. Y. Kumar, L. Chouhan, and B. Subba, “Deep learning techniques for anomaly based intrusion detection system: A survey,” in 2021 International Conference on Computational Performance Evaluation (ComPE), 2021, pp. 915–920. doi: 10.1109/ComPE53109.2021.9751909.

4. Y. Kumar and B. Subba, “A lightweight machine learning based security framework for detecting phishing attacks,” in 2021 International Conference on COMmunication Systems & NETworkS (COMSNETS), 2021, pp. 184–188. doi: 10.1109/COMSNETS51098.2021.9352828.

Workshop, FDP & Training Participated and attended:

• E-Workshop on Design Challenges of IoT with AI & ML Applications 2.0, organized by NIT Hamirpur (2023).

• Recent Trends In Networks And Communication: Theory And Challenges, organized by NIT Jalandhar (2023).

Programming Skill/Knowledge:

• C, Python

Area of Interest:

• Intrusion Detection Systems
• Machine Learning
• Deep Learning
• Natural Language Processing
• Explainable Artificial Intelligence