collaborators

5 papers

cs.LG2026

TMR-GGNN: Credit Card Fraud Detection based on Time-Aware Multi-Relational Guided Graph Neural Network

Rohit Tewari, Shubhankar Shilpi, Navin Chhibber +3

In recent years, credit card fraud detection has faced significant challenges due to highly imbalanced data, evolving fraud patterns, and complex relational structures among transa…

cs.AI2026

Stock Market Price Prediction using Neural Prophet with Deep Neural Network

Navin Chhibber, Sunil Khemka, Navneet Kumar Tyagi +3

Stock market price prediction is a significant interdisciplinary research domain that depends at the intersection of finance, statistics, and economics. Forecasting Accurately pred…

cs.CR2026

Malware Classification using Diluted Convolutional Neural Network with Fast Gradient Sign Method

Ashish Anand, Bhupendra Singh, Sunil Khemka +3

Android malware has become an increasingly critical threat to organizations, society and individuals, posing significant risks to privacy, data security and infrastructure. As malw…

cs.CR2025

Quantum-Resistant Cryptographic Models for Next-Gen Cybersecurity

Navin Chhibber, Amber Rastogi, Ankur Mahida +2

Another threat is the development of large quantum computers, which have a high likelihood of breaking the high popular security protocols because it can use both Shor and Grover a…

cs.CR2025

AutoGuard: A Self-Healing Proactive Security Layer for DevSecOps Pipelines Using Reinforcement Learning

Praveen Anugula, Avdhesh Kumar Bhardwaj, Navin Chhibber +3

Contemporary DevSecOps pipelines have to deal with the evolution of security in an ever-continuously integrated and deployed environment. Existing methods,such as rule-based intrus…