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DC Field | Value | Language |
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dc.contributor.author | Kittur, A.S. | |
dc.contributor.author | Pais, A.R. | |
dc.date.accessioned | 2020-03-31T06:51:25Z | - |
dc.date.available | 2020-03-31T06:51:25Z | - |
dc.date.issued | 2020 | |
dc.identifier.citation | Journal of Ambient Intelligence and Humanized Computing, 2020, Vol.11, 1, pp.313-327 | en_US |
dc.identifier.uri | 10.1007/s12652-019-01289-z | |
dc.identifier.uri | http://idr.nitk.ac.in/jspui/handle/123456789/9762 | - |
dc.description.abstract | In the modern day world, the Internet of things (IoT) is not a new concept. IoT is getting deployed in various applications and fields. Hence with this fast-growing trend, it is essential to maintain the security in the IoT network. Digital Signature is one of the important ways to authenticate an electronic document or a message during communication. Multiple digital signatures are verified at once through the concept of batch verification. Batch verification of multiple digital signatures reduces the computation load and time. Hence this concept is beneficial in IoT environment where nodes have low computation power and operate in a real-time environment. In this paper, we have developed a Trust Model for IoT which helps the Gateway node to identify the trusted sensor nodes which perform batch verification. The sensor nodes receive a batch of signatures from the Gateway node and verify signatures through batch verification and accordingly send back the results. The trust model that we have developed in this paper significantly reduces the probability of selecting unreliable nodes for verification and also reduces the computation load at Gateway node. We have implemented our trust model and presented the results for batch verification of digital signatures. 2019, Springer-Verlag GmbH Germany, part of Springer Nature. | en_US |
dc.title | A trust model based batch verification of digital signatures in IoT | en_US |
dc.type | Article | en_US |
Appears in Collections: | 1. Journal Articles |
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