International Journal of Science, Engineering and TechnologyAuthors: Samiksha Sanjay Jadhav, Professor Bangar Abhishek P, Dr. Anand Khatri A., Professor Bhosale Sachin B.
Abstract: Leakage of question papers before a high-stakes competitive examination damages fairness, wastes institutional resources, and erodes public trust. Most technical research on online-exam integrity, however, concentrates on what happens after the paper reaches the candidate. This review examines three recent IEEE Access studies that represent three complementary defensive ideas: blockchain-backed storage of exam answers and results, screenshot-based activity monitoring in bring-your-own-device (BYOD) exams, and a multi-stage agent that joins IP-address screening with a deep-learning behaviour classifier. Each study is summarised, compared on technique, evaluation scale, and reported outcomes, and critically assessed. The comparison shows that decentralized tamper-evidence, behavioural analytics, and risk scoring are individually mature enough to be useful, yet none of the reviewed systems protects the question paper itself during preparation, storage, and distribution. The review closes by identifying the resulting research gaps and outlining directions towards an integrated architecture that unites AI-based early detection, risk assessment, and decentralized security for preventing question paper leakage.
