Secure Communication and Data Processing Challenges in the Industrial Internet

Abstract

Abstract. The next industrial revolution is foreseen to happen with upcoming Industrial Internet that combines massive data collected by industrial sensors with data analysis for improving the efficiency of operations. Collecting, pre-processing, storing and analyzing such real-time data is a complex task with stringent demands on communication intelligence, QoS and security. In this paper we outline some challenges facing the Industrial Internet, namely integration with 5G wireless networks, Software Defined Machines, ownership and smart processing of digital sensor data. We propose a secure communication architecture for the Industrial Internet based on Smart Spaces and Virtual Private LAN Services. It is a position paper, describing state-of-the-art and a roadmap for future research on the Industrial Internet.

Predictors of Ambient Intelligence: An Empirical Study in Enterprises in Slovakia

“…The support for the Internet of Things (IoT) and the Industrial Internet of Things (IIoT) is very important. Although the opportunity [14] of Industrial Internet of Things (IIoT) for manufacturing and business processes are widely accepted by a majority of players in many industrial sectors, the number of practically deployed Industrial Internet Systems (IISs) is not growing very fast. One of the reasons is the large-scale requirement, which consequently is met with certain technological challenges.…”

“…Based on the findings, we state that some authors define the definitions of ambient intelligence in studies too technically, they characterize individual technologies [14,17], pointing to predictors such as significance of data and degree of analysis [14,27], level of digitization [12], level of virtualization [18,26] and level of augmented reality implementation [19][20][21]. In several analyzed theoretical approaches [5,6,18,28,42] a significant influence of the human factor can also be identified in innovative pervasive technologies.…”

“…It aims to provide the most consistent contextual information and transformation of data into knowledge [11][12][13]. Ubiquitous connectivity [14] of sensors in a noisy industrial environment presents a challenge. The sensor data need to be periodically collected and securely delivered to cloud storage or smart spaces for processing.…”

“…The Internet of Things (IoT) plays an important role. The authors Gurtov, Liyanage and Korzun [14] remind: "The term Internet of Things (IoT) was initially proposed to refer to uniquely identifiable interoperable connected objects with radio-frequency identification (RFID) technology. Now the most common view of IoT refers to a giant dynamic global network infrastructure for the ubiquitous connection of numerous physical objects (e.g., everyday things equipped with RFIDs, various sensors and actuators, embedded and mobile electronic devices, low capacity and powerful computers) that rely on advanced communication and information processing technologies.…”

“…There is no clear specification of ambient intelligence. In the definitions of ambient intelligence, the authors mainly focus on ubiquitous power [14,36,37], communication [38,39], mobility [40], intelligence [7,41]. The attention in the area of ambient intelligence focuses also on the integration of the human factor [19,42] and the interaction of innovative pervasive technology.…”