Ranking of Security Factors in Blockchain-Based IoT Paradigm Using AHP-TOPSIS Method

The Internet of Things (IoT) connects smart devices for efficient data sharing but faces challenges such as low processing power, limited storage, and security risks. Blockchain technology offers a secure and decentralized solution to these issues. This study prioritizes key security factors in blockchain-based IoT systems using a hybrid approach combining the Analytic Hierarchy Process (AHP) and the Technique for Order Preference by Similarity to Ideal Solution (TOPSIS). AHP determines the weights and relative importance of security factors, while TOPSIS ranks them based on closeness to the ideal solution. The results demonstrate a strong Spearman correlation (ρ = 0.9916) with individual AHP and TOPSIS outcomes, and sensitivity analysis confirms the stability of the rankings. Data integrity, access control, and authentication are identified as the top three security factors. These findings support the development of secure and scalable blockchain-based IoT systems.