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Dr. Kurmala Gowri Raghavendra Narayan

Assistant Professor, Department of Computer Science and Engineering, School of Computing, Amaravati

Qualification: B.Tech (CSE), M.Tech (CSE), Ph.D (CSE)
kgr_narayan@av.amrita.edu
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Research Interest: Cybersecurity, Anomaly Detection, Intrusion Detection, Malicious URL Detection.

Bio

Dr. K. Gowri Raghavendra Narayan holds B.Tech. and M.Tech. degrees in Computer Science and Engineering from Jawaharlal Nehru Technological University, Kakinada, India. He earned his full-time Ph.D. in Computer Science and Engineering from the Indian Institute of Information Technology, Sri City, Chittoor, Andhra Pradesh, India. He is currently serving as an Assistant Professor in the Department of Computer Science and Engineering at Amrita Vishwa Vidyapeetham, Amaravati. With over a decade of academic and research experience, he has been actively engaged in teaching, research, and curriculum development, and has held various academic positions at reputed institutions.

His research interests include Cybersecurity, Anomaly Detection, Intrusion Detection, Malicious URL Detection using Machine Learning and Deep Learning Techniques.

Publications

Conference Proceedings

Year : 2026

Privacy-Preserving Unlinkable Identity Management on Blockchain for e-Health Records

Cite this Research Publication : Vanga Odelu, Goutham Reddy Alavalapati, K. G. Raghavendra Narayan, Privacy-Preserving Unlinkable Identity Management on Blockchain for e-Health Records, Proceedings of the 8th ACM International Symposium on Blockchain and Secure Critical Infrastructure, ACM, 2026, https://doi.org/10.1145/3807407.3807473

Publisher : ACM

Year : 2025

A Novel Heuristic-Based Heart Disease Detection Framework for Imbalanced Dataset

Cite this Research Publication : Pushp Garg, KG Raghavendra Narayan, Vanga Odelu, A Novel Heuristic-Based Heart Disease Detection Framework for Imbalanced Dataset, 2025 IEEE 9th International Conference on Information and Communication Technology (CICT), IEEE, 2025, https://doi.org/10.1109/cict67193.2025.11398983

Publisher : IEEE

Year : 2024

Malicious Domain Detection Using Random Indexing and Machine Learning

Cite this Research Publication : Kurmala Gowri Raghavendra Narayan, R. Rajendra Prasath, Vanga Odelu, Malicious Domain Detection Using Random Indexing and Machine Learning, Algorithms for Intelligent Systems, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-99-8438-1_39

Publisher : Springer Nature Singapore

Journal Article

Year : 2026

A framework for handling class imbalance in malicious URL dataset

Cite this Research Publication : K.G. Raghavendra Narayan, Srijanee Mookherji, Vanga Odelu, Rajendra Prasath, A framework for handling class imbalance in malicious URL dataset, Computers and Electrical Engineering, Elsevier BV, 2026, https://doi.org/10.1016/j.compeleceng.2026.111004

Publisher : Elsevier BV

Year : 2026

Z-IDS: Zero-Day Intrusion Detection in IoV Using Generative Adversarial Networks

Cite this Research Publication : Kurmala Gowri Raghavendra Narayan, T. K. Balaji, R. Satya Rajendra Singh, Vanga Odelu, Z-IDS: Zero-Day Intrusion Detection in IoV Using Generative Adversarial Networks, IEEE Access, Institute of Electrical and Electronics Engineers (IEEE), 2026, https://doi.org/10.1109/access.2026.3682762

Publisher : Institute of Electrical and Electronics Engineers (IEEE)

Year : 2024

Attenuating majority attack class bias using hybrid deep learning based IDS framework

Cite this Research Publication : K.G. Raghavendra Narayan, Rakesh Ganesula, Tamminaina Sai Somasekhar, Srijanee Mookherji, Vanga Odelu, Rajendra Prasath, Alavalapati Goutham Reddy, Attenuating majority attack class bias using hybrid deep learning based IDS framework, Journal of Network and Computer Applications, Elsevier BV, 2024, https://doi.org/10.1016/j.jnca.2024.103954

Publisher : Elsevier BV

Conference Paper

Year : 2024

An RFID-Based Authentication Protocol for Smart Healthcare Applications

Cite this Research Publication : Srijanee Mookherji, Devanapalli Suresh, K. G. Raghavendra Narayan, Vanga Odelu, Rajendra Prasath, Alavalapati Goutham Reddy, An RFID-Based Authentication Protocol for Smart Healthcare Applications, Lecture Notes in Networks and Systems, Springer Nature Singapore, 2024, https://doi.org/10.1007/978-981-97-2004-0_20

Publisher : Springer Nature Singapore

Year : 2024

A Penalty-Based Entropy Driven Universal Password Strength for Lightweight Devices

Cite this Research Publication : Harika Lingamsetty, N Surya Sri Nitya, Bala Mani Teja M, Vanga Odelu, Srijanee Mookherji, KG Raghavendra Narayan, Rajendra Prasath, Alavalapati Goutham Reddy, A Penalty-Based Entropy Driven Universal Password Strength for Lightweight Devices, 2024 16th International Conference on COMmunication Systems & NETworkS (COMSNETS), IEEE, 2024, https://doi.org/10.1109/comsnets59351.2024.10427138

Publisher : IEEE

Year : 2023

IIDS: Design of Intelligent Intrusion Detection System for Internet-of-Things Applications

Cite this Research Publication : Kg Raghavendra Narayan, Srijanee Mookherji, Vanga Odelu, Rajendra Prasath, Anish Chand Turlapaty, Ashok Kumar Das, IIDS: Design of Intelligent Intrusion Detection System for Internet-of-Things Applications, 2023 IEEE 7th Conference on Information and Communication Technology (CICT), IEEE, 2023, https://doi.org/10.1109/cict59886.2023.10455720

Publisher : IEEE

Year : 2019

Analysis on Characteristics and Efficiency in Opensource Programming Languages of Undergraduates

Cite this Research Publication : Byra, Pardha Saradhi, K. Gowri Raghavendra Narayan, and Seshu Chakravarthy Thota. “Analysis on Characteristics and Efficiency in Opensource Programming Languages of Undergraduates.”

Year : 2017

A Study on Certificate-Based Trust in MANETs

Cite this Research Publication : K. Gowri Raghavendra Narayan, T. Srinivasa Rao, P. Pothu Raju, P. Sudhakar, A Study on Certificate-Based Trust in MANETs, Lecture Notes on Data Engineering and Communications Technologies, Springer Singapore, 2017, https://doi.org/10.1007/978-981-10-6319-0_4

Publisher : Springer Singapore

FDP / Workshops 
  • Attended one week FDP on Generative and Agentic AI – Tools and Demo’s, jointly conducted by Pantech Solutions in association with Sardar Vallabhbhai National Institute of Technology Surat and IEEE Gujarat from 16th to 21st February 2026.
  • Participated in One Week AICTE-ATAL FDP on Emerging Techniques in Cyber Security for Building Resilient Network Infrastructure at Indian Institute of Information Technology, Sri City from 09/12/2024 to 14/12/2024.
  • Completed NPTEL FDP on Introduction to Research (with Elite Silver Certificate)
  • Completed NPTEL FDP on Software Testing (with Elite Certificate)
Membership 
  • Life Member- ISTE and IAENG
  • Member-CSTA, SDIWC
  • Associate Member-IRED
Awards  & Recognitions
  • Ratified as Assistant Professor in the Department of Computer Science & Engineering as by JNTU Kakinada in 2017.
  • Qualified Andhra Pradesh State Eligibility Test (APSET) for Assistant Professor in 2020. (conducted by Govt. of Andhra Pradesh)
  • Received institute fellowship from IIIT Sri city during entire PhD period as per MHRD norms.
Certifications
  • Advanced Diploma in Network Simulator-2 from Nex-G Exuberant Solutions Pvt. Ltd, Noida in 2015.
  • RPA Developer Advanced certification from UiPath, New York, U.S in 2020.
  • Qualified APSET as an Assistant Professor in 2020.
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