DroneFuzz: Detecting Cyber-Physical Peripheral Vulnerabilities via MAVLink Fuzzing
Investigating the security of robotic vehicle peripherals through MAVLink fuzzing.
Available in the ACM Digital Library
Ideas, questions & investigations
Research.
My current research examines the security of autonomous and cyber-physical systems, particularly UAVs. I develop techniques for analyzing and testing drone software through fuzzing, reverse engineering, binary analysis, and patch analysis. I'm motivated by finding vulnerabilities because software defects in these systems can have direct physical consequences.
Where is the Line Between Evolution and Exploitation? Generative AI and the Postcolonial Software Landscape in the Global South
This paper examines the impact of Generative AI tools on Bangladesh’s software industry, focusing on their influence on software processes, practitioner perceptions, and job dynamics, while contrasting adoption challenges and opportunities between the Global South and the West.
IoTWhiz: An IoT Android App Characterization Tool
This work presents a framework and tool for systematically analyzing and differentiating IoT and non-IoT Android applications through automated static code analysis, providing insights into their distinct characteristics to aid developers and researchers.
PharmaSync: Optimizing Security and Transparency in Pharmaceutical Supply Chains using Decentralized Hybrid Blockchain
This work introduces PharmaSync, a blockchain-based solution that ensures supply chain transparency while preserving pharmaceutical companies’ trade secrets. By incorporating modules like compliance data verification, decentralized identity management, and zero-knowledge proofs, it addresses challenges such as drug counterfeiting, emergency shortages, and privacy concerns.
Cricket Winner Prediction - Domain-Based Feature Engineering and Analysis
This project explores the intriguing task of predicting cricket match outcomes using a combination of domain-based feature engineering and machine learning. By leveraging both internal and external factors, the research uncovers the potential and challenges of data-driven insights in sports analytics.
Software Requirements Specification for the ERP System of Chittagong University
The SRS report proposes an ERP system to automate and enhance Chittagong University’s academic and administrative processes for improved efficiency and reliability.