Dr. Shubha Puthran

Committees:

• Department level Disciplinary Committee
• Thesis Advisory Committee

Journal Publications:

• Shubha Puthran, Ketan Shah (2020), Intrusion Detection using Data Mining, International Journal of Computational Intelligence Studies, Inderscience Journal, 2020
• Suryawanshi R, Puthran S. Review of various enhancement for clustering algorithms in big data mining. International Journal of Advanced Research in Computer Science and Software Engineering. 2016.
• Suryawanshi R, Puthran S. A novel approach for data clustering using improved Kmeans algorithm. International Journal of Computer Applications. 2016
• T Garg, N Kagalwalla, S Puthran, P Churi, A Pawar , A novel approach of privacy-preserving data sharing system through data-tagging with role-based access control, World Journal of Engineering, 2023
• N Doshi, A Jain, E Martis, S Rastogi, S Puthran, P Churi , Effectiveness of online learning and the most preferred video conferencing software amid COVID-19: perception of Indian students using mixed methods, International Journal of Forensic Software Engineering, 2022
• Vamshi Krishna, Shubha Puthran, Efficient Accessing Methods of the Big Data in Cloud Environment , International Journal of Advanced Research in Computer Science and Software Engineering, 2016
• Shubha Puthran, Divya Nimbalkar, Intrusion Detection using classification via clustering, International Journal of Advanced Research in Computer and Communication Engineering, 2015
• Data Mining Classification Approaches for Intrusion Detection System, International Journal of Computer Engineering and Software Technology,2011

Conference Publication:

• J. Jacob, K. Jha, P. Kotak and S. Puthran, “Educational Data Mining techniques and their applications,” 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), Greater Noida, India, 2015, pp. 1344-1348.
• Puthran, S., Shah, K. (2016). Intrusion Detection Using Improved Decision Tree Algorithm with Binary and Quad Split. In: Mueller, P., Thampi, S., Alam Bhuiyan, M., Ko, R., Doss, R., Alcaraz Calero, J. (eds) Security in Computing and Communications. SSCC 2016. Communications in Computer and Information Science, vol 625. Springer, Singapore.
• J. Jacob, K. Jha, P. Kotak and S. Puthran, “Mobile attendance using Near Field Communication and One-Time Password,” 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), Greater Noida, India, 2015, pp. 1298-1303, doi: 10.1109/ICGCIoT.2015.7380666.
• V. Singh and S. Puthran, “Intrusion detection system using data mining a review,” 2016 International Conference on Global Trends in Signal Processing, Information Computing and Communication (ICGTSPICC), Jalgaon, India, 2016, pp. 587-592.
• V. Singh, S. Puthran and A. Tiwari, “Intrusion detection using data mining with correlation,” 2017 2nd International Conference for Convergence in Technology (I2CT), Mumbai, India, 2017, pp. 620-625.
• Soneji, H.N., Soman, A.S., Vyas, A., Puthran, S. (2022). A Comprehensive Review of Fraudulent Email Detection Models. Proceedings of the Seventh International Conference on Mathematics and Computing . Advances in Intelligent Systems and Computing, vol 1412. Springer, Singapore.
• Vamshi Krishna, Shubha Puthran, Dhirendra Mishra, Efficient Accessing Methods of the Big Data in Cloud Environment: A Review, International Conference on Telecommunication Technology and Management, IIT Delhi, Emerald Group Publishing (India) Private Limited, 2015
• Arya Shah, Rajshri Pati, Aman Preet Singh, Aishwarya Pimplikar and Shubha Puthran, Review Of Approaches Towards Building AI Based Career Recommender & Guidance Systems, Chaitanya (Deemed-to-be-University),Warangal,August-2023

Books:

• Shubha Puthran, Ketan Shah, Intrusion Detection using Data Mining, parallel approaches using weka tool, LAP LAMBERT Academic Publishing, 2012, pages-76

Industry Project Completed:

• Dr. Shubha Puthran (Computer Engineering Department, MPSTME) completed an industrial research project on “Research and Analysis of Ethylene furnace –Reliance India Limited(RIL) data”. The project proposal was received from Industry-  Dorf Ketal Chemicals India Private Limited.

Academic Profiles:

• Google Scholar
• ORCID: https://orcid.org/0000-0002-7363-4528
• Research Gate:
• Linked In:
• Scopus

International workshop Attended:

• The 6th International Qualitative Comparative Analysis Paper Development Workshop (PDW), in hybrid mode- switzerland- Zuric, 13th and 14th December, 2023.