Deep Learning and Blockchain-Empowered Security Framework for Intelligent 5G-Enabled IoT

Abstract

Recently, many IoT applications, such as smart transportation, healthcare, and virtual and augmented reality experiences, have emerged with fifth-generation (5G) technology to enhance the Quality of Service (QoS) and user experience. The revolution of 5G-enabled IoT supports distinct attributes, including lower latency, higher system capacity, high data rate, and energy saving. However, such revolution also delivers considerable increment in data generation that further leads to a major requirement of intelligent and effective data analytic operation across the network. Furthermore, data growth gives rise to data security and privacy concerns, such as breach and loss of sensitive data. The conventional data analytic and security methods do not meet the requirement of 5G-enabled IoT including its unique characteristic of low latency and high throughput. In this paper, we propose a Deep Learning (DL) and blockchain-empowered security framework for intelligent 5G-enabled IoT that leverages DL competency for intelligent data analysis operation and blockchain for data security. The framework's hierarchical architecture wherein DL and blockchain operations emerge across the four layers of cloud, fog, edge, and user is presented. The framework is simulated and analyzed, employing various standard measures of latency, accuracy, and security to demonstrate its validity in practical applications.

Internet of Things (IoT) Security With Blockchain Technology: A State-of-the-Art Review

“…These factors becoming the acceptance of IoT in the industrial domain, mainly leveraging the internet in manufacturing and production to enable reconfiguration of current processes and automate industrial executions, which is greatly evolved. The industrial IoT commits to bringing a large number of operations initiated, controlled and executed in an efficient manner along with improving productivity, and providing effective management of industrial things [82,83]. However, the existing architecture of IIoT is based on the client-serverenabled centralized network structure.…”

Internet of Intelligence: A Survey on the Enabling Technologies, Applications, and Challenges

“…Much work has already been done using blockchain to enhance security and privacy in the ML process. In [291], Rathore et al develop an ML and blockchain-driven security framework for 5G-enabled smart IoT to provide intelligent data and secure operations. Liu et al in [292] study a blockchain-enabled secure data sharing framework in MEC systems and propose an adaptive privacy protection mechanism based on this framework to protect the identity privacy of users in data sharing.…”

Cloud of Things Security Challenges and Solutions

“…Service management supports fog infrastructure and services based on dynamic and distributed policies. These solutions can also filter specific threat patterns to prevent a potential attack [10]. A fog-based security model can provide the encryption processes between layers (data, application) to ensure a high level of security for IoT data processed and stored in the cloud.…”