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SDSCCM: Secure Distributed System Communication for Cloud-Based Manufacturing

SDSCCM: Secure Distributed System Communication for Cloud-Based Manufacturing

Danish Javeed (Northeastern University, China), Tianhan Gao (Northeastern University, China), Muhammad Shahid Saeed (Dalian University of Technology, China), Rafi Ullah Khan (Macquarie University, Sydney, Australia), and Zeeshan Jamil (The University of Agriculture, Peshawar, Pakistan)
Copyright: © 2023 |Pages: 15
DOI: 10.4018/978-1-6684-6914-9.ch010
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Abstract

The current century has witnessed a prodigious expansion in scientific innovations contributing toward the betterment of humanity. The astonishing advancements in digital communications have facilitated various spheres of our lifestyle including the manufacturing sector. A plethora of cutting-edge technologies are rubbing shoulders to revolutionize manufacturing trends. Distributed system communications introduce a new concept of digital collaboration among a diversified range of scattered communication nodes. The individual resources of multiple nodes are intelligently integrated to formulate an aggregated impact that yields phenomenal productivity. The smart connectivity among various heterogeneous nodes may familiarize the network with an extended variety of potential security threats. The literature environs a bulk of security solutions proposed to overcome these challenges. This research study provides a comprehensive elaboration of these security threats along with the security practices designed to encounter such activities.
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1. Introduction

With the advent of scientific advancements, computer networks have also been evolved. These computer systems are performing miracles in every field of our lives and the industrial sector is a broader application domain of such networks. The implementation of computer networks in the industrial sector is exclusively increasing with the passage of time and such phenomenon gives birth to a wide range of technological attributes. The distributed systems communication is one of the prominent features of computer-based systems which has revolutionized the entire manufacturing industry. In such systems, the network components are not located at the same place. The communication among such nodes is being performed by specially designed network communication protocols. This concept gives birth to new manufacturing environments where manufacturing components work in a decentralized way and it also diminished the need for the presence of those components at the same place (Farzaneh, Montazeri, & Jamali, 2019). The specially designed network communication protocols enable those units to communicate efficiently and reliably. The concept of cloud-based communication also comes to put this idea beyond the brackets. Cloud-based services ensure the availability, integrity, and instant transmission of data across the network. The combination of these two technologies has now become the backbone of the industrial sector and modern manufacturing industries seem highly influenced by under contention combination (Sahay, Geethakumari, & Modugu, 2018).

1.1 Role of Distributed Systems

Computer networks are being modernized following the contemporary needs of society. Distributes networks are one of those systems that fall under the umbrella of modern computer networks. The distributed systems come with unique characteristics that make them entirely different from conventional computer networks. Such characteristics include resource sharing, concurrency, openness, scalability, fault tolerance, and transparency (Glissa, Rachedi, & Meddeb, 2016). The entire processing burden is divided among participant nodes of the network and hence each node participates according to its available resources. This mechanism creates an economically reasonable environment where each node doesn’t need to be rich in terms of resources, rather it can use the required resources provided by the host node. This type of network is open and always ready to welcome new potential devices to be part of the network. As functionality and processing are divided among almost all the participant nodes of the network, so it becomes easy to diagnose the faults and miss happenings inside the network. There is no central authority upon with the component nodes have to depend in terms of monitoring, controls, and supervision (Airehrour, Gutierrez, & Ray, 2017). All this architecture gives birth to a transparent surrounding where the working of each device is observed by all component nodes. These exclusive characteristics of distributed networks make themselves an excellent choice for several sectors and the industrial manufacturing sector is one of them. All the core concepts of distributed networks are applied in manufacturing systems where devices are being deployed in a distributed pattern with no dependability upon a single authority (Hashemi & Shams Aliee, 2019). The automated communication among these nodes is ensured by specifically designed communication protocols. As the nodes are connected through reliable communication links so most of the time devices are not available in a single place like conventional network architecture. The resource sharing among these nodes can take place virtually with full transparency, scalability, and concurrency. As a result of this connectivity, the entire processing burden is divided among all nodes and a mutual harmonic scenario is created among the participant nodes (Hashemi & Shams Aliee, 2019).

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