The Role of Neutrosophic Logic in Enhancing Trust and Reliability in
Internet of Things Architectures
Remya P. George1, Nazia Ahmad1, Rubina Liyakat Khan1, Sajithunisa Hussain1,
Samandarboy Sulaymanov2, Ambuj Kumar Agarwal3,∗
1Computer Science Department, Applied College, Imam Abdulrahman Bin Faisal University, Saudi Arabia
2Tashkent State University of Economics, Tashkent, Uzbekistan
3Department of Computer Science and Engineering, Sharda School of Engineering and Technology,
Sharda University, Greater Noida, India
Emails: rpgeorge@iau.edu.sa; nahmad@iau.edu.sa; rlkhan@iau.edu.sa; sajithunisa@iau.edu.sa;
s.sulaymanov@tsue.uz; ambuj4u@gmail.com
Abstract
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 el-
ements 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.
Keywords: Neutrosophic Logic; internet of things (IoT); Trust management; Reliability modeling; Indeter-
minacy; Uncertainty quantification; Mathematical modeling; Decision support systems