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Optimization of Network Mapping for Screening and Intrusion Sensing Devices Read chapter Read first chapter

2024 | OriginalPaper | Chapter

Intuitionistic Fuzzy-Based Trust Computation for Secure Routing in IoT

Authors : Renu Mishra, Sandeep Saxena, Arun Kumar Singh, Varun Shukla

Published in: Cryptology and Network Security with Machine Learning

Publisher: Springer Nature Singapore

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Abstract

IoTs are being very popular these days due to their application in a number of areas. However, they are also used in some sensitive applications where security is a prime concern like military operations, whereby if the network is compromised then the outcomes can be disastrous. Secure routing is a challenging task in mobile ad hoc networks where no fixed infrastructure exists. Trust can be a solution to handle the soft security intimidation. The identities on the IoT networks should be verified using an effective trust management method to ensure secure and reliable routing. However, the nodes feature and task complexity perform managing trust a difficult process. The proposed trust-based proposed approach includes various dimensions of trust such as direct trust, behavioral, and recommendation in trusting with the gap filling purpose along with dishonest recommendation for neighbors and energy efficiency. This paper proposed a secured route selection approach for IoT environment by using very popular Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS). Moreover, Intuitionistic fuzzy is applied to manage not only numerical trust value but linguistic data also. The results of experiments specify that the proposed framework utilize the parameters under consideration. The current work in addition, compute the total trust by considering all three dimensions The trusted value of indirect nature is derived with the help of trust value indicated by the recommending nodes based on their trustworthiness with the evaluating, and the direct trust value is determined with the supporting of existing contacts between the evaluating and evaluated. The direct trust value is reliable and resistant to untruthful recommendations. The dishonest suggestions of the other nearby nodes, however, can make an indirect recommendation vulnerable. The use of intuitionistic fuzzy approach can solve the problem of dishonest advice. Finally trust values are used in data maintained as well moving toward trust value trust value for each neighbors node to opt for the secured path between two nodes.

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Metadata
Title
Intuitionistic Fuzzy-Based Trust Computation for Secure Routing in IoT
Authors
Renu Mishra
Sandeep Saxena
Arun Kumar Singh
Varun Shukla
Copyright Year
2024
Publisher
Springer Nature Singapore
Book
Cryptology and Network Security with Machine Learning

Print ISBN: 978-981-9706-40-2

Electronic ISBN: 978-981-9706-41-9

Copyright Year: 2024

DOI
https://doi.org/10.1007/978-981-97-0641-9_50