Avoiding the internet of insecure industrial things

Urquhart, Lachlan; McAuley, Derek

doi:10.1016/j.clsr.2017.12.004

Cited by 73 publications

(59 citation statements)

References 26 publications

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“…Also, ICPS are vulnerable to external attacks due to the tight integration of cyber and physical parts. In fact, security incidents such as targeted distributed denial of service (DDoS) attacks on power grids and hacking of factory NCS are on the increase [359]. Data management in such systems is crucial, as the increased scalability of the deployments can frustrate effective management of security risks, partly due to the complexity of managing the large volumes of data and risks manifesting across interdependent systems.…”

Section: Computation and Data Analytics Articlesmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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Information and communication technologies are permeating all aspects of industrial and manufacturing systems, expediting the generation of large volumes of industrial data. This article surveys the recent literature on data management as it applies to networked industrial environments and identifies several open research challenges for the future. As a first step, we extract important data properties (volume, variety, traffic, criticality) and identify the corresponding data enabling technologies of diverse fundamental industrial use cases, based on practical applications. Secondly, we provide a detailed outline of recent industrial architectural designs with respect to their data management philosophy (data presence, data coordination, data computation) and the extent of their distributiveness. Then, we conduct a holistic survey of the recent literature from which we derive a taxonomy of the latest advances on industrial data enabling technologies and data centric services, spanning all the way from the field level deep in the physical deployments, up to the cloud and applications level. Finally, motivated by the rich conclusions of this critical analysis, we identify interesting open challenges for future research. The concepts presented in this article thematically cover the largest part of the industrial automation pyramid layers. Our approach is multidisciplinary, as the selected publications were drawn from two fields; the communications, networking and computation field as well as the industrial, manufacturing and automation field. The article can help the readers to deeply understand how data management is currently applied in networked industrial environments, and select interesting open research opportunities to pursue.

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Section: Computation and Data Analytics Articlesmentioning

confidence: 99%

Data Management in Industry 4.0: State of the Art and Open Challenges

2019

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“…In the evolving IIoT ecosystem, security incidents and vulnerabilities are on the increase [46]. The sheer scale and inextricable interconnectedness of IIoT significantly expanded the security attack surfaces and there is much to be done from device authentication to the formal verification of new generation of smart contracts.…”

Section: Security and Privacy In Blockchain Enabled Iiotmentioning

confidence: 99%

Blockchain Enabled Industrial Internet of Things Technology

Zhao

Yao

2019

IEEE Trans. Comput. Soc. Syst.

128

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The emerging blockchain technology shows promising potential to enhance industrial systems and the Internet of things (IoT) by providing applications with redundancy, immutable storage, and encryption. In the past a few years, many more applications in industrial IoT (IIoT) have emerged and the blockchain technologies have attracted huge amounts of attention from both industrial and academic researchers. In this paper we address the integration of blockchain and IIoT from the industrial prospective. A blockchain enabled IIoT framework is introduced and involved fundamental techniques are presented. Moreover, main applications and key challenges are addressed. A comprehensive analysis for the most recent research trends and open issues is provided associated with the blockchain enabled IIoT.

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“…In the past, the SCADA systems in ICS are ‗air-gapped' to safeguard the systems. However, with the progress of Industrial IoT (IIOT) and networked integration across SCADA systems [23], the systems are often controlled by operating systems such as Windows and Linux, thus exposing the systems to mainstream malware.…”

Section: A Geopolitical Risk and Threatsmentioning

confidence: 99%

“…Currently, there are at least two main regulatory frameworks that apply to the geopolitical risk of IoT, including data protection regulations and security of essential service [23]. Due to geopolitical uncertainty, many countries have imposed laws and regulations that tighten cross-border data flow and technology equipment.…”

Section: B Laws and Regulationsmentioning

confidence: 99%

IoT Technological Development: Prospect and Implication for Cyberstability

Anawar¹,

Zakaria²,

Masu’d³

et al. 2019

ijacsa

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Failure to address the risk poses by future technological development could cause devastating damage to public trust in the technologies. Therefore, ascendant technologies such as artificial intelligence are the key components to provide solutions for new cybersecurity threats and strengthen the capabilities of the future technological developments. In effect, ability of the technologies to prevent and withstand a cyber-attack could become the new deterrence. This paper will provide gaps to guide the government, industry, and the research community in pursuing Internet of Things (IoT) technological development that may be in need of improvement. The contribution of this paper is as follows: First, a roadmap that outline security requirements and concerns of future technology and the significant of IoT technology in addressing the concerns. Second, an assessment that illustrates the expected and unexpected impact of future technology adoption and its significant geopolitical implication on potential impacted areas such as regulatory, legal, political, military, and intelligence.

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Avoiding the internet of insecure industrial things

Cited by 73 publications

References 26 publications

Data Management in Industry 4.0: State of the Art and Open Challenges

Data Management in Industry 4.0: State of the Art and Open Challenges

Blockchain Enabled Industrial Internet of Things Technology

IoT Technological Development: Prospect and Implication for Cyberstability

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