Shanti Verma

Shanti Verma is PhD in Machine learning algorithm based Recommendation system and working as Associate Professor and having 18+ years of teaching experience. She Presented 30+ research papers in International conference and journals & her areas of interests are Machine Learning, Network Security, Data Science and Programming Languages. She has also filed and receive grant of 8 national patents and 10 International patents in the field of Machine Learning, IoT and Deep Learning.

Publications

Cloud-Enabled Security Adversarial Network Strategies for Public Area Protection
Cloud-Enabled Security Adversarial Network Strategies for Public Area Protection
Mamta P. Khanchandani, Sanjay H. Buch, Shanti Verma, K. Baskar. © 2024. 13 pages.
In cloud computing, the consideration of the future of IT enterprise involves the centralized application software and database in large data centers. However, this shift raised...
Enhanced Security in Smart City GAN-Based Intrusion Detection Systems in WSNs
Enhanced Security in Smart City GAN-Based Intrusion Detection Systems in WSNs
Manikanta Sirigineedi, Alok Manke, Shanti Verma, K. Baskar. © 2024. 15 pages.
As intelligent urban centers continue to evolve, the reliance on wireless type sensory networks (WSNs) for data samples collections and message interaction will become paramount....
Machine Learning at the Edge: GANs for Anomaly Detection in Wireless Sensor Networks
Machine Learning at the Edge: GANs for Anomaly Detection in Wireless Sensor Networks
Sundara Mohan, Alok Manke, Shanti Verma, K. Baskar. © 2024. 13 pages.
In this study, a novel system named “EdgeAnomaly,” is proposed, which leverages generative adversarial networks (GANs) for anomaly detection on wireless sensory networks (WSNs)...
Digital Health Records in Paving the Way for Paperless and Green Practices
Digital Health Records in Paving the Way for Paperless and Green Practices
Shuchi Midha, Swathi P., Vinod Kumar Shukla, Shanti Verma, Baskar K.. © 2024. 16 pages.
The transformational influence of digital health records (DHRs) on healthcare systems, with a focus on their significance in encouraging paperless and ecologically friendly...
Machine Learning Application for Virtual Replicas (Digital Twins) in Cybersecurity
Machine Learning Application for Virtual Replicas (Digital Twins) in Cybersecurity
Jaynesh H. Desai, Sneha Patel, Shanti Verma, Sangeetha Subramaniam. © 2024. 12 pages.
In the swiftly evolving realm of technology and cybersecurity, safeguarding our digital assets is paramount. This study explores the integration of machine learning techniques...
Virtual Counterparts in Disaster Response: A Machine Learning Perspective
Virtual Counterparts in Disaster Response: A Machine Learning Perspective
M. Prakash, M. Prabakaran, Shanti Verma, Sangeetha Subramaniam, Karthikeyan Thangavel. © 2024. 11 pages.
In the field of disaster response, incorporating virtual counterparts using machine learning is a promising approach. This perspective explores the utilization of advanced...