International Journal of Neutrosophic Science IJNS 2690-6805 2692-6148 10.54216/IJNS https://www.americaspg.com/journals/show/3988 2020 2020 Computer Science Department, Applied College, Imam Abdulrahman Bin Faisal University, Saudi Arabia Ambuj Ambuj Computer Science Department, Applied College, Imam Abdulrahman Bin Faisal University, Saudi Arabia Nazia Ahmad Computer Science Department, Applied College, Imam Abdulrahman Bin Faisal University, Saudi Arabia Rubina Liyakat Khan Computer Science Department, Applied College, Imam Abdulrahman Bin Faisal University, Saudi Arabia Sajithunisa Hussain Tashkent State University of Economics, Tashkent, Uzbekistan Samandarboy Sulaymanov Department of Computer Science and Engineering, Sharda School of Engineering and Technology, Sharda University, Greater Noida, India Ambuj Kumar Agarwal A vast amount of Internet of Things (IoT) devices deployment has created huge issues about trust management and reliability guarantees in heterogeneous, dynamic and often uncertain ecosystems. Available probabilistic or fuzzy-logic-based models do not hold water to deal with indeterminacy and contending data in distributed IoT networks. The current paper proposes a brand new framework to model trust and reliability in IoT systems by implementing Neutrosophic Logic to build quantification and strengthen trust and reliability in IoT systems. Incorporating the semantic understanding of data and node behavior in uncertainty using three dissimilar elements to represent trust: truth, indeterminacy and falsity, the model commands a wider range of semantics in the relationship of data and nodes during the phase of uncertainty. A mathematical solution is established to measure trust scores and reliability indexes based on Neutrosophic membership functions. Further, a new dynamic trust assessment and anomaly detection algorithm is presented based on a multi-layered decision-making process. This simulation and case- study definition shows the effectiveness of the proposed framework in having less false positives, better reliability estimation, and the solid optimization of decision support in a very uncertain environment of IoT. The work therefore further develops the process of Neutrosophic systems integration with IoT and its setting up of basis of more intelligent, context-aware and robust trust management systems. 2026 2026 176 192 10.54216/IJNS.270117 https://www.americaspg.com/articleinfo/21/show/3988