Cryptographic Solutions for Industrial Internet-of-Things: Research Challenges and Opportunities

2018 ◽  
Vol 14 (8) ◽  
pp. 3567-3569 ◽  
Author(s):  
Kim-Kwang Raymond Choo ◽  
Stefanos Gritzalis ◽  
Jong Hyuk Park
Keyword(s):  
Internet Of Things ◽  
Industrial Internet Of Things ◽  
Research Challenges ◽  
Industrial Internet ◽  
Challenges And Opportunities

Reconceptualizing value innovation for Industry 4.0 and the Industrial Internet of Things

2019 ◽  
Vol 34 (6) ◽  
pp. 1203-1209 ◽  
Author(s):  
Paul Matthyssens
Keyword(s):  
Internet Of Things ◽  
Industry 4.0 ◽  
Business Models ◽  
Industrial Internet Of Things ◽  
Value Innovation ◽  
Content Type ◽  
Innovation Research ◽  
Industrial Internet ◽  
Challenges And Opportunities ◽  
New Research

Purpose Starting from the foundations of value innovation, this paper aims to give an idea of the key drivers and barriers – internal and external to the company – and to provide insight into proven capabilities underscoring the ability to create a flow of new value initiatives. These thoughts are then confronted with the present challenges of Industry 4.0 and the Industrial Internet of Things (IIoT). The confrontation leads to the identification of five capabilities for future-proof value innovation. Design/methodology/approach Literature review based upon the work of the author with more than two decades of experience within value innovation research is included. The review is supplemented with recent literature and an overview of the challenges of Industry 4.0/IIoT, which leads into a confrontation of the present status of value innovation with future requirements. Findings Value innovation remains important specifically for established companies facing path-breaking digital disruption of their existing business models provoked by Industry 4.0 and IIoT. Five key capabilities are suggested to rejuvenate value innovation and prepare it for the Industry 4.0 challenge: capabilities for designing, adapting and marketing product service systems; capabilities for blending digital strategy and processes with value offerings; capabilities for designing and mobilizing ecosystems and integrating these into a value-based IIoT platform; capabilities for combining and integrating technological and value innovation approaches; and capabilities for linking value creation to value capturing. Research limitations/implications This paper is more of a “viewpoint” than an empirically based paper presenting new research findings. It is based on expert judgment and confrontation with extant literature. The outlook indicating five key capabilities needs further empirical corroboration. Practical implications The overview of barriers and the “toolkit” for value innovation (Figure 1) and the five capabilities for future value innovation are expected to be managerially relevant. Originality/value The paper highlights the concept of value innovation, as discussed over the past decades, and links it to recent challenges and opportunities imposed by Industry 4.0 and the IIoT. The concept of value or strategic innovation is still valid but needs a re-conceptualization in view of these developments. The paper provides five capabilities business marketers should develop to perform value innovation in an Industry 4.0 environment.

scholarly journals Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges

Sensors ◽  
2019 ◽  
Vol 19 (21) ◽  
pp. 4807 ◽  
Author(s):  
Rabeea Basir ◽  
Saad Qaisar ◽  
Mudassar Ali ◽  
Monther Aldwairi ◽  
Muhammad Ikram Ashraf ◽  
...  
Keyword(s):  
Internet Of Things ◽  
Real Time ◽  
Data Exchange ◽  
Fog Computing ◽  
Building Blocks ◽  
Smart Devices ◽  
Industrial Internet Of Things ◽  
Computing Architecture ◽  
Research Challenges ◽  
Industrial Internet

Industry is going through a transformation phase, enabling automation and data exchange in manufacturing technologies and processes, and this transformation is called Industry 4.0. Industrial Internet-of-Things (IIoT) applications require real-time processing, near-by storage, ultra-low latency, reliability and high data rate, all of which can be satisfied by fog computing architecture. With smart devices expected to grow exponentially, the need for an optimized fog computing architecture and protocols is crucial. Therein, efficient, intelligent and decentralized solutions are required to ensure real-time connectivity, reliability and green communication. In this paper, we provide a comprehensive review of methods and techniques in fog computing. Our focus is on fog infrastructure and protocols in the context of IIoT applications. This article has two main research areas: In the first half, we discuss the history of industrial revolution, application areas of IIoT followed by key enabling technologies that act as building blocks for industrial transformation. In the second half, we focus on fog computing, providing solutions to critical challenges and as an enabler for IIoT application domains. Finally, open research challenges are discussed to enlighten fog computing aspects in different fields and technologies.

scholarly journals IoT and Cloud Computing Issues, Challenges and Opportunities: A Review

2021 ◽  
Vol 1 (2) ◽  
pp. 1-7
Author(s):  
Mohammed Mohammed Sadeeq ◽  
Nasiba M. Abdulkareem ◽  
Subhi R. M. Zeebaree ◽  
Dindar Mikaeel Ahmed ◽  
Ahmed Saifullah Sami ◽  
...  
Keyword(s):  
Cloud Computing ◽  
Internet Of Things ◽  
Self Organization ◽  
Industrial Internet Of Things ◽  
Efficient Storage ◽  
Outsourced Data ◽  
Industrial Internet ◽  
Challenges And Opportunities ◽  
Integration Problems ◽  
And Storage

With the exponential growth of the Industrial Internet of Things (IIoT), multiple outlets are constantly producing a vast volume of data. It is unwise to locally store all the raw data in the IIoT devices since the energy and storage spaces of the end devices are strictly constrained. self-organization and short-range Internet of Things (IoT) networking also support outsourced data and cloud computing, independent of the distinctive resource constraint properties. For the remainder of the findings, there is a sequence of unfamiliar safeguards for IoT and cloud integration problems. The delivery of cloud computing is highly efficient, storage is becoming more and more current, and some groups are now altering their data from in house records Cloud Computing Vendors' hubs. Intensive IoT applications for workloads and data are subject to challenges while utilizing cloud computing tools. In this report, we research IoT and cloud computing and address cloud-compatible problems and computing techniques to promote the stable transition of IoT programs to the cloud.

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