Abstract
<p>Internet of Things (IoT) approach makes the humans life easy and safe and due to its acceptability and portability. Humans are surrounded by multitude of heterogeneous devices which assist them in their daily routine. The integration of Blockchain technology with IoT played an important role in medical science and online transaction. At same point of time, the IoT network and devices are vulnerable that can be exploit to affect the network and devices security and accessibility. Therefore, robust authentication techniques should be implementing to secure the IoT network as well as devices accessibility. Due to high heterogeneity of applications, providing authentication for these devices is always challengeable. In this work, a novel fingerprint-based authentication framework in implemented in which Gaussian filter is used for image smoothness, Robert filter for edge detection and achieve 94% accuracy while authentication.</p>
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