56 citations · 64 across the 6 of their papers we have counts for
7 papers
Agentic-ZTA: A Multi-Agent Architecture for Autonomous Zero Trust Enforcement
Shovan Roy, Lopamudra Praharaj, Maanak Gupta +1
Agentic AI is emerging as a promising paradigm for automating complex cybersecurity decisions, yet its use in enforcing zero trust introduces significant challenges in safety, reli…
VEXAIoT: Autonomous IoT Vulnerability EXploitation using AI Agents
Katherine Swinea, Kshitiz Aryal, Lopamudra Praharaj +1
Internet of Things (IoT) systems are inherently vulnerable due to constrained hardware, outdated firmware, and insecure default configurations, creating a need for scalable and ada…
Knowledge Base Poisoning Attacks and Defense for Policy-Aware LLM-RAG Framework
Om Solanki, Lopamudra Praharaj, Deepti Gupta +1
This paper presents an adversarial security study of the Policy-Aware LLM Retrieval-Augmented Generation (PA-LLM-RAG) framework for Internet of Battlefield Things (IoBT) mission co…
Policy-Aware Edge LLM-RAG Framework for Internet of Battlefield Things Mission Orchestration
Om Solanki, Lopamudra Praharaj, Deepti Gupta +1
Large Language Models (LLMs) offer a promising interface for intent-driven control of autonomous cyber-physical systems, but their direct use in mission-critical Internet of Battle…
A Lightweight Edge-CNN-Transformer Model for Detecting Coordinated Cyber and Digital Twin Attacks in Cooperative Smart Farming
Lopamudra Praharaj, Deepti Gupta, Maanak Gupta
The agriculture sector is increasingly adopting innovative technologies to meet the growing food demands of the global population. To optimize resource utilization and minimize cro…
From ChatGPT to ThreatGPT: Impact of Generative AI in Cybersecurity and Privacy
Maanak Gupta, CharanKumar Akiri, Kshitiz Aryal +2
Undoubtedly, the evolution of Generative AI (GenAI) models has been the highlight of digital transformation in the year 2022. As the different GenAI models like ChatGPT and Google…
Machine Learning in Access Control: A Taxonomy and Survey
Mohammad Nur Nobi, Maanak Gupta, Lopamudra Praharaj +3
An increasing body of work has recognized the importance of exploiting machine learning (ML) advancements to address the need for efficient automation in extracting access control…