IoT Based Secured Logistics Management

Electronics and Communication Engineering

This paper deals with secured logistics management using machine learning algorithms like Gaussian Process Regression algorithm and Stochastic Gradient Descent algorithm. Logistics is one of the key elements of supply chain management; the main objective of logistics is revealed in managing the flow of goods, services, and information efficiently and effectively in the right time and right quantity at right place with right devices in order to satisfy customers. Internet of things (IOT) can establish a huge scale of smart infrastructure to merge products, physical objects, data, information and processes of a supply chain and build a secure and smart system of SCM. Internet of Things is facilitating smart and connected supply chains. Logistics combined with IoT gives users the opportunity to migrate applications and their data towards the server. Instead of using expensive applications and resources on a station, users take advantage on demand applications and resources with minimum cost. An IoT system is a network of networks that connects a huge number of things, objects, devices, and sensors through communications and information infrastructure to stipulate value-added services through intelligent data processing and management for diversified applications.

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