scholarly journals Security and Privacy Trends in the Industrial Internet of Things

Sensors ◽  
2021 ◽  
Vol 21 (19) ◽  
pp. 6647
Author(s):  
Soo Fun Tan ◽  
Azman Samsudin

The inherent complexities of Industrial Internet of Things (IIoT) architecture make its security and privacy issues becoming critically challenging. Numerous surveys have been published to review IoT security issues and challenges. The studies gave a general overview of IIoT security threats or a detailed analysis that explicitly focuses on specific technologies. However, recent studies fail to analyze the gap between security requirements of these technologies and their deployed countermeasure in the industry recently. Whether recent industry countermeasure is still adequate to address the security challenges of IIoT environment are questionable. This article presents a comprehensive survey of IIoT security and provides insight into today’s industry countermeasure, current research proposals and ongoing challenges. We classify IIoT technologies into the four-layer security architecture, examine the deployed countermeasure based on CIA+ security requirements, report the deficiencies of today’s countermeasure, and highlight the remaining open issues and challenges. As no single solution can fix the entire IIoT ecosystem, IIoT security architecture with a higher abstraction level using the bottom-up approach is needed. Moving towards a data-centric approach that assures data protection whenever and wherever it goes could potentially solve the challenges of industry deployment.


IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 152351-152366 ◽  
Author(s):  
Teklay Gebremichael ◽  
Lehlogonolo P. I. Ledwaba ◽  
Mohamed H. Eldefrawy ◽  
Gerhard P. Hancke ◽  
Nuno Pereira ◽  
...  

Author(s):  
Mirador G. Labrador ◽  
Abegail Bordios ◽  
Weiyan Hou

<p>The convergence of microelectronics and micromechanical system within a sensing device, the proliferation of wireless communication, and the use of software-driven equipment are already changing the landscape of the manufacturing industries. This situation compels the industries to adopt industrial internet of things (IIoT) systems and processes with the main objective-to improve the processes and increase production. However, it is undeniable that despite IIoT advantages, it posed significant issues on the security and privacy on industry automation especially along data generation and control system. Hence, this paper proposes a cloud based 3-tier data security framework that performs two-level security verification processes. The framework has been tested and validated using an experimental industry automation system and has been found to be functionally effective with an acceptable handoff delay.</p>


Author(s):  
Charles Garrocho ◽  
Celio Marcio Soares Ferreira ◽  
Ailton Junior ◽  
Carlos Frederico Cavalcanti ◽  
Ricardo R. Oliveira

Through the Industrial Internet of Things (IIoT), a smart factory has entered the boom period expecting significant investments. In this new environment, Machine-to-Machine (M2M) communication has shown immediate potential in IIoT applications. However, most M2M communication implementations use the centralized model in which it requires a reliable intermediary for transactions between machines. Using smart contracts in M2M communication would allow a decentralized network to be used without the need for a trusted intermediary. In order to provide security, privacy, and decentralization in M2M communication and IIoT processes, a middleware based on a smart contract is proposed. Such a proposal is analyzed at the industrial level and evaluated for impacts against the stringent communication requirements that industrial applications require. Experimental results show that the application of smart contracts offers greater security and privacy than traditional proposals, but time requirements of real-time systems must still be optimized for smart contracts to be applied at the industrial field.


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