0000-0002-9526-0854 About
After amassing over six years of industry experience, I am currently actively engaged in the pursuit of my Doctor of Philosophy (Ph.D.) in Information Technology at IIIT Allahabad, a journey that commenced in 2019. This academic endeavor is a collaborative effort with the University of Applied Sciences of Central Hesse (Technische Hochschule Mittelhessen, THM) in Friedberg, Germany, under joint supervision.
My research area is a testament to my passion for advancing the realms of knowledge and technology. I focus on the application of Artificial Intelligence in fortifying the cybersecurity of Cyber-Physical Systems, with a special emphasis on the context of Industrial Internet of Things (IIoT). My research portfolio encompasses a broad spectrum of interests, including Time-series Data Analysis, Threat Modeling, Threat Assessment, Intrusion Detection Systems, and the formulation of robust mitigation strategies to combat Zero-Day Attacks. This journey through academia mirrors my unwavering commitment to exploring innovative solutions for the complex challenges that reside at the intersection of AI and cybersecurity within the domain of Cyber-Physical Systems.
Employment
Employment history is unavailable.
Education
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Indian Institute of Information Technology Allahabad M.Tech.2017 - 2019
Projects & Funding
Projects & funding information is unavailable.
Publications (24)
- SecureIIoT: Hybrid Machine Learning Model Based False Data Injection Attacks Detection Save
- GA-LSTM: Performance Optimization of LSTM driven Time Series Forecasting Save
- HMS-IDS: Threat Intelligence Integration for Zero-Day Exploits and Advanced Persistent Threats in IIoT Save
- MFDI: Securing IIoT: An Investigation into Machine Learning-Based False Data Injection Attacks Save
- ELA-NIDS: An Improved Ensemble Learning Network Intrusion Detection System for IIoT Save
- Optimizing Hyperparameters of Deep Learning Models for Stock Price Prediction Save
- TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP) Save
- Unleashing the Potential of Data Science Driven Society 5.0: Applications and Implications Save
- Zero-Shot Based Hybrid Neural Network System for Enhancing Zero-Day Attack Detection Save
- TMAP: A Threat Modeling and Attack Path Analysis Framework for Industrial IoT Systems (A Case Study of IoM and IoP) Save