Blockchain-Based question Paper Leakage Prevention Using GenAI and Machine Learning Techniques

Question paper leakage has emerged as a critical national crisis, compromising the fairness and integrity of academic and competitive assessments across India. Incidents affecting NEET-UG, UGC-NET, CSIR-NET, and multiple state Public Service Commission examinations have impacted over one crore students annually, eroding public trust in the examination system. The fundamental vulnerability lies in centralized human-dependent workflows spanning question paper setting, printing, physical transportation, storage, and distribution. Current security measures rely entirely on physical safeguards such as sealed envelopes, armed guards, and secure strongrooms, which fail catastrophically when any single individual in the chain is compromised. This paper proposes a comprehensive blockchain-based question paper leakage prevention system that integrates Blockchain technology, Generative Artificial Intelligence (GenAI), and Machine Learning (ML) into a unified secure examination framework. The system replaces centralized trust with distributed cryptographic proof, ensuring that no single person can leak examination materials without leaving an immutable, traceable record. GenAI enables dynamic question paper generation, eliminating preexisting papers that can be leaked weeks in advance. Machine Learning powers real-time social media monitoring for leak detection and forensic tracing of leaked content back to its source. Digital watermarking embeds unique forensic identifiers into each printed copy, enabling precise source identification. Smart contracts enforce time-locked distribution windows, ensuring that question papers do not exist in decryptable form until exactly thirty minutes before the examination.