Implementation of deep packet inspection in smart grids and industrial Internet of Things: Challenges and opportunities

2019 ◽  
Vol 135 ◽  
pp. 32-46 ◽  
Author(s):  
Gonzalo De La Torre Parra ◽  
Paul Rad ◽  
Kim-Kwang Raymond Choo
Keyword(s):  
Internet Of Things ◽  
Smart Grids ◽  
Deep Packet Inspection ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Challenges And Opportunities ◽  
Packet Inspection

scholarly journals A Comprehensive Review on Smart Grids: Challenges and Opportunities

Sensors ◽  
2021 ◽  
Vol 21 (21) ◽  
pp. 6978
Author(s):  
Jesús Jaime Moreno Moreno Escobar ◽  
Oswaldo Morales Morales Matamoros ◽  
Ricardo Tejeida Tejeida Padilla ◽  
Ixchel Lina Lina Reyes ◽  
Hugo Quintana Quintana Espinosa
Keyword(s):  
Smart Grids ◽  
Distribution Systems ◽  
Future Trend ◽  
Main Axis ◽  
Software Defined Networks ◽  
Industrial Internet Of Things ◽  
Industrial Internet ◽  
Challenges And Opportunities ◽  
Network Topologies ◽  
Key Aspects

Recently, the operation of distribution systems does not depend on the state or utility based on centralized procedures, but rather the decentralization of the decisions of the distribution companies whose objectives are the efficiency of interconnectivity. Therefore, distribution companies are exposed to greater risks, and due to this, the need to make decisions based on increasingly reliable models has grown up considerably. Therefore, we present a survey of key aspects, technologies, protocols, and case studies of the current and future trend of Smart Grids. This work proposes a taxonomy of a large number of technologies in Smart Grids and their applications in scenarios of Smart Networks, Neural Networks, Blockchain, Industrial Internet of Things, or Software-Defined Networks. Therefore, this work summarizes the main features of 94 research articles ranging the last four years. We classify these survey, according Smart Grid Network Topologies, because it can group as the main axis the sensors applied to Smart Grids, as it shows us the interconnection forms generalization of the Smart Networks with respect to the sensors found in a home or industry.

A Survey on Industrial Information Integration 2016–2019

2020 ◽  
Vol 05 (01) ◽  
pp. 33-163 ◽  
Author(s):  
Yong Chen
Keyword(s):  
Internet Of Things ◽  
Information Integration ◽  
Smart Grids ◽  
Web Of Science ◽  
Smart Manufacturing ◽  
Future Research ◽  
Industrial Internet Of Things ◽  
Physical Systems ◽  
Industrial Internet ◽  
Industrial Information Integration

Industrial information integration engineering (IIIE) is a set of foundational concepts and techniques that facilitate the industrial information integration process. In recent years, many applications of the integration between Internet of Things (IoT) and IIIE have become available, including industrial Internet of Things (IIoT), cyber-physical systems, smart grids, and smart manufacturing. In order to investigate the latest achievements of studies on IIIE, this paper reviews literatures from 2016 to 2019 in IEEEXplore and Web of Science. Altogether, 970 papers related to IIIE are grouped into 27 research categories and reviewed. The results present up-to-date development of IIIE and provide directions for future research on IIIE.

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 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.

Sign in / Sign up

Export Citation Format

Share Document