Network Transparent Fogbased IoT Platform for Industrial IoT There has been rapid growth in the number of Internet of Things (IoT) devices that produce a large volume of data such as location data, temperature data, and power usage data. These data are used in various types of services on IoT platforms. IoT services such as autonomous vehicles and factory automation system have the following three requirements. First, confidential data such as machine ID, power usage, and location information need to be locally anonymized before they are sent to a cloud server. Second, these applications require low latency response of less than 10 ms. Third, the bandwidth usage that an enormous number of IoT devices generate needs to be efficiently reduced to alleviate the burden on the cloud server. However, existing IoT platforms have limitations on the configuration of applications because most of them are cloudbased. In this study, we propose a fogbased IoT platform, where fog nodes achieve network transparency for the IoT devices and the cloud server. The networktransparent machine can be installed without modification of the existing network configuration and routing. Fog nodes transparently achieve the three requirements: anonymization of specific data in packets, realtime feedback, and reduction in the bandwidth usage.

Fog assisted task allocation and secure deduplication using 2FBO2 and MoWo in clusterbased industrial IoT (IIoT) Abstract   Fogassisted InternetofThings have dynamically received interest in the research community. There are more duplicate data transmitted over the Internet due to the rise in IoT devices. In this paper, task allocation and secure deduplication are implemented over four layers of Fog assisted Clusterbased Industrial IoT. IoT device layer used to sense data and mitigate security threats. Devices presented in this layer are registered to the cloud server using Elliptic Curve Cryptography based Hybrid Multiplier. MultiObjective based Whale Optimization algorithm is accessible for cluster section. SHA3 is presented in the fog layer for secure data deduplication. ECC HM private key is used for data encryption before transmitted the data. In cloud, layer indexing is constructed using Merkle Hash Tree. This is endeavored to provide query search results for IoT users at the service layer. The simulation results prove enhancement in average latency, user satisfaction, network lifetime, energy consumption, and security strength.