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Jishnu K S

Assistant Professor · Chennai, India

Dr. Jishnu K S

Researcher in cybersecurity & machine learning.

Department of Computing Technologies, School of Computing College of Engineering and Technology, SRM Institute of Science and Technology

Dr. Jishnu K S

About

I'm an Assistant Professor at SRM Institute of Science and Technology, working at the intersection of cybersecurity and deep learning. My PhD research built a real-time framework for detecting phishing URLs using knowledge-distilled transformer models, and my broader work spans NLP-based threat detection, generative models for adversarial robustness, and applied machine learning across domains from healthcare to disaster prediction.

Assistant Professor

Department of Computing Technologies, School of Computing, College of Engineering and Technology, SRM Institute of Science and Technology

2024 – Present

Education

  1. 2021 – 2025

    Ph.D — Computer Science and Engineering

    SRM University

    Thesis: Real-time Phishing URL Detection Framework Using Knowledge Distilled ELECTRA

  2. 2019 – 2021

    M.Tech — Computer Science and Engineering — Network and Security

    Government Engineering College, Wayanad

    Thesis: MedBlocks: A Blockchain Based EHR Management System

  3. 2013 – 2017

    B.Tech — Computer Science and Engineering

    KMCT College of Engineering

    Thesis: Career Guidance Using Machine Learning

132+

Citations

7

h-index

13

Publications

1

Research Award

Publications

13 total

132+ citations · h-index 7 · View on Google Scholar ↗

Journal Articles (3)

  1. K. S. Jishnu and B. Arthi, “Exploring GRU-based approaches with attention mechanisms for accurate phishing URL detection,” Intelligent Decision Technologies, vol. 18, no. 2, pp. 1029–1052, 2024.

    View DOI ↗
  2. K. S. Jishnu and B. Arthi, “Generative adversarial network-based phishing URL detection with variational autoencoder and transformer,” International Journal of Artificial Intelligence, vol. 13, no. 2, pp. 2165–2172, 2024.

  3. K. S. Jishnu and B. Arthi, “Real-time phishing URL detection framework using knowledge distilled ELECTRA,” Automatika, vol. 65, no. 4, pp. 1621–1639, 2024.

    View DOI ↗

Conference Proceedings (3)

  1. K. S. Jishnu and B. Arthi, “Enhanced phishing URL detection using leveraging BERT with additional URL feature extraction,” 2023 5th International Conference on Inventive Research in Computing Applications (ICIRCA), pp. 1745–1750, 2023.

    View DOI ↗
  2. K. Jishnu and B. Arthi, “Review of the effectiveness of machine learning based phishing prevention systems,” AIP Conference Proceedings, vol. 2917, 2023.

    View DOI ↗
  3. J. K. S and A. B, “Phishing URL detection by leveraging RoBERTa for feature extraction and LSTM for classification,” 2023 Second International Conference on Augmented Intelligence and Sustainable Systems (ICAISS), pp. 972–977, 2023.

    View DOI ↗

Books & Chapters (7)

  1. T. Sangeetha, K. Jishnu, S. A. Nair, K. Krishnan, P. S. Kumar, and N. T. Madathil, “Hidden backdoor attacks in AI-enabled smart highway monitoring systems: Cybersecurity challenges and resilient detection strategies,” AI-Driven Cybersecurity Techniques, Systems, and Resilience, IGI Global Scientific Publishing, pp. 123–150, 2027.

  2. K. Jishnu, G. Bhargavi, P. Shijukumar, R. Pareek, V. Monish, and A. Sundar, “High-performance landslide susceptibility mapping via stacking ensemble,” Predicting, Preventing, and Mitigating Natural Disasters Through Advanced Technologies, IGI Global Scientific Publishing, pp. 59–98, 2026.

  3. K. Jishnu, S. John, M. Oshin, A. S. Tharakan, P. Shijukumar, and G. Bhargavi, “Deep learning strategies for high-accuracy oral cancer classification: A focus on EfficientNet,” AI in Clinical Diagnosis, Prediction, and Patient Care, IGI Global Scientific Publishing, pp. 151–182, 2026.

  4. K. Jishnu, P. Shijukumar, G. Bhargavi, V. Sankar, P. S. Kumar, and N. T. Madathil, “AI-driven music composition by integrating RNNs and GAs for personalized pop songs,” Artificial Intelligence in Music Production: Innovations, Practices, and Industry Implications, IGI Global Scientific Publishing, pp. 143–172, 2026.

  5. T. Sangeetha, K. Jayan, S. John, et al., “Benchmarking traditional ML approaches in phishing URL detection,” Navigating Public Security in the Age of Post-Truth: Challenges and Implications, IGI Global Scientific Publishing, pp. 275–304, 2026.

  6. S. Tamilalagan, R. Pongiannan, R. Brindha, et al., “Leveraging AI and ML to enhance focused ultrasound treatments for essential tremors,” Natural Language Processing in Healthcare Informatics: Challenges and Future Directions, Bentham Science Publishers, pp. 144–157, 2026.

  7. K. Jishnu and B. Arthi, “Phishing URL detection using BiLSTM with attention mechanism,” Machine Intelligence Applications in Cyber-Risk Management, IGI Global Scientific Publishing, pp. 159–184, 2025.

Awards & Certifications

Awards

  • Dr. APJ Abdul Kalam Research Award 2025

    SRM Institute of Science and Technology · 2025

Certifications

  • UHV-I: Inculcating Universal Human Values in Technical Education

    AICTE, SRM Institute of Science and Technology, Kattankulathur Campus, Chennai · 2025

  • Faculty Induction Training Program (Guru Dakshta)

    UGC & NEP recommended — CDIO and TPACK standards

  • Certified Design Thinking Trainer

    School of Design Thinking

  • Industrial Mathematics (5-credit course)

    Swayam, University of Calicut · 2025

  • Problem Solving through Programming in C (12-week NPTEL course)

    NPTEL · 2024

Skills

Languages

  • English
  • Malayalam
  • Hindi
  • Tamil

Coding

  • Python
  • C
  • C++
  • LaTeX

Databases

  • MySQL

Focus

  • Academic Research
  • Teaching
  • Training
  • Consultation
  • Publishing

Quick Answers

Is Dr. Jishnu K S open to research collaborations or supervising students?

Yes — open to research collaborations, PhD/student co-supervision inquiries, and speaking invitations. He is an Assistant Professor in the Department of Computing Technologies, School of Computing, at SRM Institute of Science and Technology, Chennai — reach out via the contact section .

What does he research?

Cybersecurity and applied machine learning, with a focus on real-time phishing URL detection. His PhD built a real-time phishing detection framework using knowledge-distilled transformer models, and his broader work spans NLP-based threat detection, generative models for adversarial robustness, and applied ML across domains from healthcare to disaster prediction — see Publications .

Where can I find his publications and citation record?

13 publications across journals, conference proceedings, and book chapters, with 132+ citations and an h-index of 7 on Google Scholar. The full list is in Publications below, or view the live record on Google Scholar ↗ .

How can I get in touch?

By email, or through his academic and professional profiles linked in the contact section. jishnuks017@gmail.com reaches him directly.

Let's connect

Open to research collaborations, speaking invitations, and student inquiries.