Man-in-the-Middle attack Explainer for Fog computing using Soft Actor Critic Q-Learning Approach. - Bhargavi Krishnamurthy; Sajjan G. Shiva (AIIoT, 2022)

Energy Efficient Double Critic Deep Deterministic Policy Gradient Framework for Fog Computing. - Bhargavi Krishnamurthy; Sajjan G. Shiva (AIIoT, 2022)

MVE-based Reinforcement Learning Framework with Explainability for improving Quality of Experience of Application Placement in Fog Computing. - Bhargavi Krishnamurthy; Sajjan G. Shiva; Saikat Das (AIIoT, 2022)

Scalable Hindsight Experience Replay based Q-learning Framework with Explainability for Big Data Applications in Fog Computing. - Bhargavi Krishnamurthy; Sajjan G. Shiva (CCWC, 2022)

Securing IoT devices using Ensemble Machine Learning in Smart Home Management System. - Raktim Ranjan Das; Bhargavi Krishnamurthy; Saikat Das (SSCI, 2022)

Handling Node Discovery Problem in Fog Computing using Categorical51 Algorithm With Explainability. - Bhargavi Krishnamurthy; Sajjan G. Shiva; Saikat Das (AIIoT, 2023)

Explainability of Artificial Intelligence Systems: A Survey. - Mazharul Hossain; Saikat Das; Bhargavi Krishnamurthy; Sajjan G. Shiva (ISNCC, 2023)

State of the art: Security Testing of Machine Learning Development Systems. - Saikat Das; Bhargavi Krishnamurthy; Raktim Ranjan Das; Sajjan G. Shiva (CCWC, 2024)

Integral-Valued Pythagorean Fuzzy-Set-Based Dyna Q+ Framework for Task Scheduling in Cloud Computing. - Bhargavi Krishnamurthy; Sajjan G. Shiva (Sensors, 2024)