GTM approach towards engineering a features-oriented evaluation framework for secure authentication in IIoT environment

Industry Internet of Things (IIoT) has become the most evolving area over last few years. The number IoT devices connected in industry sharply elevated but this surge led to vulnerability and data breach such as if a malicious entry is made secure network, it will forfeit all network resources. For purpose full pledged authentication method essential safeguard IIoT network. There bulky list authentications protocols available keep safe with variety features so becomes herculean task for administrator pick strong due huge criteria, conflicting objectives availability environment. It imperative get rational operating IIoT. To address issue, feature-oriented assessment framework put forward provide ground ranking selection best mechanism. This uses mathematic approach known Graph Theory Matrix Approach (GTMA) selects based on features. These are related covers almost every aspect used benchmark purposes. takes into account important helps selecting ideal features-oriented that can be employed integrity security overall infrastructure.