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Mukesh Patel School of Technology Management and Engineering
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SM Handles:
Educational Qualification (highest):
  • PhD (Cyber Security and AI)
  • MTech ( Information Security and Computer Forensics)

Area of Research: Cybersecurity, Machine Learning, MedicalAI

Department: Computer Engineering

Basic Information:
  • Email Id: deepa.krishnan@nmims.edu
  • Landline extension: 114879
  • Desk (location): 401 Cubicle 13

PhD Scholars: 02

Publications:

Journals

 

  1. Deepa Krishnan, Pravin Shrinath. (2024). Robust botnet detection approach for known and unknown attacks in IoT networks using stacked multi‑classifier and adaptive thresholding. Arabian Journal for Science and Engineering, 49(9), 12561–12577. Springer Publishers https://doi.org/10.1007/s13369-024-08742-y [Scopus Indexed, SCIE Indexed, Web of Science, Q1, I.F 2.9 ]
  2. Swapnil Singh, Deepa Krishnan, Vidhi Vazirani, Vinayakumar Ravi, Suliman A Alsuhibany (2024), Deep hybrid approach with sequential feature extraction and classification for robust malware detection, Egyptian Informatics, Elsevier, Volume 27, September 2024, https://doi.org/10.1016/j.eij.2024.100539                   [Scopus Indexed, SCIE Indexed, Web of Science, Q1, I.F 5.0 ]
  3. Deepa Krishnan, Pravin Shrinath, Robust IoT botnet detection framework resilient to gradient based adversarial attacks, S.N Computer Science, Springer Nature , Volume 5, Issue 7, Article 870, September 2024, https://doi.org/10.1007/s42979-024-03242-0 , [Scopus Indexed, ACM Indexed, Q2 ]
  4. Deepa Krishnan, Pravin Shrinath, Enhancing energy efficiency and imbalance handling in botnet detection in IoT networks: a multi-stage feature reduction and weighted approach, International Journal of Information Technology, Springer Nature, Volume 17, Issue 2, September 2024 https://doi.org/10.1007/s41870-024-02219-9,      [Scopus Indexed, Q2 ]
  5. Deepa Krishnan, Akshat Bishnoi, Shaivi Bansal, Vinayakumar Ravi, Pradeep Ravi, Enhancing Classification of Alzheimer’s Disease using Spatial Attention Mechanism, Open Neuroimaging, Bentham Science Publishers, Volume 17, July 2024 http://dx.doi.org/10.2174/0118744400305746240626043912 , [Scopus Indexed, Q4 ]
  6. Swapnil Singh, Vidhi Vazhirani, Sanvika Singhania, Vaishnavi Singh Suroth, Vaibhav Soni, Ameyaa Biwalkar, Deepa Krishnan, Beyond Boundaries: Unifying Classification and Segmentation in Wildfire Detection Systems, Multimedia Tools and Applications, Springer Nature, Volume 84, August 2024   https://doi.org/10.1007/s11042-024-19888-0 ,                   [Scopus Indexed, SCIE , Q1 ]
  7. Viraj Nishchal Shah, Deep Rahul Shah, Mayank Umesh Shetty, Deepa Krishnan, Vinayakumar Ravi, Swapnil Singh, Investigation of Imbalanced Sentiment Analysis in Voice Data: A Comparative Study of Machine Learning Algorithms, EAI Endorsed Transactions on Scalable Information Systems, European Alliance for Innovation, Volume 11, Issue 6, April 2024, https://doi.org/10.4108/eetsis.4805  [WoS I.F 1.3]
  8. Vinay Pal, Harshit Pabari, Shruti Indoria, Shubham Patel, Deepa Krishnan, Vinayakumar Ravi, Multifaceted Disease Diagnosis: Leveraging Transfer Learning with Deep Convolutional Neural Networks on Chest X-Rays for COVID-19, Pneumonia, and Tuberculosis, The Open BioInformatics Journal, Benthan Science Publishers, Volume 17, July 2024, 10.2174/0118750362303182240516043224 [Scopus, Q4]
  9. Swapnil Singh, Deepa Krishnan, Pratham Dedhiya, Vinayakumar Ravi, Darshil Sanghvi, Kamakshya Nanda, Comprehensive Analysis of Supervised Machine Learning Algorithms in Obfuscated Malware Detection, Security and Privacy , Wiley, July/August 2025 https://doi.org/10.1002/spy2.70048 [ WoS, I.F 2.1]
  10. Deepa Krishnan, Swapnil Singh, Vijayan Sugumaran, Explainable AI for zero-day attack detection in IoT networks using attention fusion model, Discover Internet of Things, Springer Nature, Volume 5, Issue 1, July 2025 https://doi.org/10.1007/s43926-025-00184-8 [Scopus, Q2]

Conferences

  1. Soni, P., Tewari, Y., & Krishnan, D. (2022). Machine Learning approaches in stock price prediction: A systematic review. In Journal of Physics: Conference Series (Vol. 2161, No. 1, p. 012065). IOP Publishing.
  2. Nair, A., Paralkar, C., Pandya, J., Chopra, Y., & Krishnan, D. (2021, April). Comparative Review on Sentiment analysis-based Recommendation system. In 2021 6th International Conference for Convergence in Technology (I2CT) (pp. 1-6). IEEE.
  3. Falor, A., Hirani, M., Vedant, H., Mehta, P., & Krishnan, D. (2022). A deep learning approach for detection of SQL injection attacks using convolutional neural networks. In Proceedings of Data Analytics and Management: ICDAM 2021, Volume 2 (pp. 293-304). Springer Singapore.
  4. Krishnan, D., & Babu, P. (2021). Imbalanced classification for botnet detection in Internet of Things. In Next Generation of Internet of Things: Proceedings of ICNGIoT 2021 (pp. 595-605). Springer Singapore.

Chapters

  1. Krishnan, D., & Singh, S. (2022). Medical IoT: Opportunities, Issues in Security and Privacy-A Comprehensive Review. Smart and Secure Internet of Healthcare Things, 91-112.
  2. Singh, S., Vazirani, V., & Krishnan, D. (2022). Review of medical imaging with machine learning and deep learning-based approaches for COVID-19. Smart Health Technologies for the COVID-19 Pandemic: Internet of Medical Things Perspectives, 42, 261.