Cyber Security Risk Assessment on Industry 4.0 using ICS testbed with AI and Cloud

Matsuda, Wataru; Fujimoto, Mariko; Aoyama, Tomomi; Mitsunaga, Takuho

doi:10.1109/ains47559.2019.8968698

Cited by 26 publications

(11 citation statements)

References 12 publications

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“…The Risk of Lack of Cybersecurity and Data Protection is characterized by the absence of security systems and programs for computers, networks, and software, which can result in a lack of protection of information and data in the company, facilitating access by malicious individuals [2,12,19,22,[29][30][31]35,42,58,69,71,72,77,84,85,110,112,117,122,127].…”

Section: Technological Risksmentioning

confidence: 99%

Development of a Theoretical Model for Digital Risks Arising from the Implementation of Industry 4.0 (TMR-I4.0)

dos Santos Filho,

de Resende,

Pontes

2024

Future Internet

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This study aims to develop a theoretical model for digital risks arising from implementing Industry 4.0 (represented by the acronym TMR-I4.0). A systematic literature review was initially conducted using the Methodi Ordinatio methodology to map the principal dimensions and digital risks associated with Industry 4.0 in order to achieve this objective. After completing the nine steps of Methodi, a bibliographic portfolio with 118 articles was obtained. These articles were then subjected to content analysis using QSR Nvivo® version 10 software to categorize digital risks. The analysis resulted in the identification of 9 dimensions and 43 digital risks. The categorization of these risks allowed the construction of maps showing the digital risks and their impacts resulting from the implementation of Industry 4.0. This study advances the literature by proposing a comprehensive categorization of digital risks associated with Industry 4.0, which resulted from an exhaustive literature review. At the conclusion of the study, based on the proposed Theoretical Risk Model for Digital Risks arising from the implementation of Industry 4.0, a research agenda for future studies will be proposed, enabling other researchers to further explore the landscape of digital risks in Industry 4.0.

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Section: Technological Risksmentioning

confidence: 99%

Development of a Theoretical Model for Digital Risks Arising from the Implementation of Industry 4.0 (TMR-I4.0)

dos Santos Filho,

de Resende,

Pontes

2024

Future Internet

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“…While Industry 4.0 provides a framework for integrating CPS for smart, flexible, and adaptive manufacturing, it carries with it concerns about cyber security. Indeed, the growth of IoT devices and CPS in networked production increases the surface of attacks on critical systems and infrastructures with damaging impacts on production processes [7,48]. In this research, different types of cyber-attacks presented by the authors of the selected studies are analyzed with their respective references:…”

Section: Steps Of the Search Processmentioning

confidence: 99%

“…Attackers exploit the attack intelligence to enhance the reach of their actions. They eliminate the geographic boundaries of their targets and minimize the evidence of their malicious activities [7].…”

Section: Introductionmentioning

confidence: 99%

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

et al. 2023

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The increase in cyber-attacks impacts the performance of organizations in the industrial sector, exploiting the vulnerabilities of networked machines. The increasing digitization and technologies present in the context of Industry 4.0 have led to a rise in investments in innovation and automation. However, there are risks associated with this digital transformation, particularly regarding cyber security. Targeted cyber-attacks are constantly changing and improving their attack strategies, with a focus on applying artificial intelligence in the execution process. Artificial Intelligence-based cyber-attacks can be used in conjunction with conventional technologies, generating exponential damage in organizations in Industry 4.0. The increasing reliance on networked information technology has increased the cyber-attack surface. In this sense, studies aiming at understanding the actions of cyber criminals, to develop knowledge for cyber security measures, are essential. This paper presents a systematic literature research to identify publications of artificial intelligence-based cyber-attacks and to analyze them for deriving cyber security measures. The goal of this study is to make use of literature analysis to explore the impact of this new threat, aiming to provide the research community with insights to develop defenses against potential future threats. The results can be used to guide the analysis of cyber-attacks supported by artificial intelligence.

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“…The initial attack vectors could include the attacker's ability to compromise a device on the corporate network or an internet-exposed ICS component leveraging unpatched or a zero-day vulnerability [12]. Exploiting legitimate account credentials coupled with poorly designed or bypassed security controls, could enable the attacker to gain access to the ICS operational infrastructure [25]. We assume an attack vector where the attacker gains access to the logic control and the physical control layers.…”

Section: B Threat Modellingmentioning

confidence: 99%

Super Learner Ensemble for Anomaly Detection and Cyber-Risk Quantification in Industrial Control Systems

Ahmadi-Assalemi

Al-Khateeb

Epiphaniou

et al. 2022

IEEE Internet Things J.

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Cyber Security Risk Assessment on Industry 4.0 using ICS testbed with AI and Cloud

Cited by 26 publications

References 12 publications

Development of a Theoretical Model for Digital Risks Arising from the Implementation of Industry 4.0 (TMR-I4.0)

Development of a Theoretical Model for Digital Risks Arising from the Implementation of Industry 4.0 (TMR-I4.0)

Artificial Intelligence-Based Cyber Security in the Context of Industry 4.0—A Survey

Super Learner Ensemble for Anomaly Detection and Cyber-Risk Quantification in Industrial Control Systems

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