Cybersecurity in Construction: Where Do We Stand and How Do We Get Better Prepared

Mantha, Bharadwaj R. K.; Soto, Borja García de

doi:10.3389/fbuil.2021.612668

Cited by 11 publications

(6 citation statements)

References 37 publications

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“…As noted in Section 1, the construction industry has experienced significant cyber incidents. By looking at the literature that focuses on the general discussions of cybersecurity in construction [2,10,16,28], coupled with official cyber incident analysis reports from two renowned organizations including Deloitte [31], which is a global professional services network known for its expertise in consulting, financial advisory, risk management and Engineering News-Record [32], a magazine and website that provides news, analysis, data, and opinion for the construction industry, five cyber risks can be identified as the risk types that are most interesting to stakeholders.…”

Section: Identifying the Cyber Risksmentioning

confidence: 99%

“…In addition to general IT vulnerabilities, the construction industry has unique vulnerabilities due to the complex nature of its projects. Several studies [2,16,26,28,44] that discussed these vulnerabilities were reviewed, leading to the identification of five key aspects listed in Table 3. These aspects were presented to the industry experts during the interviews for feedback.…”

Section: Software Flawsmentioning

confidence: 99%

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Cyber Risk Assessment Framework for the Construction Industry Using Machine Learning Techniques

Yao,

García de Soto

2024

Buildings

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Construction 4.0 integrates digital technologies that increase vulnerability to cyber threats. A dedicated cyber risk assessment framework is essential for proactive risk mitigation. However, existing studies on this subject within the construction sector are scarce, with most discussions still in the preliminary stages. This study introduces a cyber risk assessment framework that integrates machine learning techniques, pioneering a data-driven approach to quantitatively assess cyber risks while considering industry-specific vulnerabilities. The framework builds on over 20 literature reviews related to construction cybersecurity and semi-structured interviews with two industry experts, ensuring both rigor and alignment with practical industrial needs. This study also addresses the challenges of data collection and proposes potential solutions, such as a standardized data collection format with preset fields that computers can automatically populate using data from construction companies. Additionally, the framework proposes dynamic machine learning models that adjust based on new data, facilitating continuous risk monitoring tailored to industry needs. Furthermore, this study explores the potential of advanced language models in cybersecurity management, positioning them as intelligent cybersecurity consultants that provide answers to security inquiries. Overall, this study develops a conceptual machine learning framework aimed at creating a robust, off-the-shelf cyber risk management system for industry practitioners.

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Section: Identifying the Cyber Risksmentioning

confidence: 99%

Section: Software Flawsmentioning

confidence: 99%

Cyber Risk Assessment Framework for the Construction Industry Using Machine Learning Techniques

Yao,

García de Soto

2024

Buildings

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“…Ensuring the privacy and security of this data is crucial to prevent data breaches, cyberattacks, and unauthorized access. Adopting data encryption, access control, and audit trails can help mitigate these risks (Mantha et al 2021). The integration challenges identified are summarized below; Ozturk 2020…”

Section: Integration Challengesmentioning

confidence: 99%

“…Ensuring the confidentiality, integrity, and availability of this data is essential to prevent unauthorized access or data breaches. Mantha et al 2021 4.…”

Section: Cybersecuritymentioning

confidence: 99%

Smart and Resilient Infrastructure For Emerging Economies: Perspectives on Building Better

Musonda,

Mwanaumo,

Onososen

et al. 2023

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Smart and Resilient Infrastructure For Emerging Economies: Perspectives on Building Better is about pressing and multidimensional challenges faced in constructing resilient, sustainable, and smart infrastructure in developing countries. The 32 case studies, literature reviews, comparative analyses and systematic reviews, cover a wide range of topics, including: l sustainable and resilient infrastructure development l smart cities l digital innovation in construction l infrastructure investment l construction ergonomics l socio-environmental sustainability l gender equity, and l climate change responsesThe contributions present innovative solutions, impactful insights, and substantive contributions to the discourse on sustainable infrastructure development, and illuminate the interplay between infrastructure development, social justice, environmental sustainability, and technological advancement.Smart and Resilient Infrastructure For Emerging Economies: Perspectives on Building Better is essential reading for academics, researchers, practitioners, policymakers, and students involved in the built environment, infrastructure delivery, investment in infrastructure, civil engineering, architecture, urban planning, environmental science, and other related disciplines.

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“…Although cybersecurity in the construction sector has not received the attention it deserves (Mantha and García de Soto 2021), there have been several recent events focusing on that. For example, a group of experts had a panel about "Big Data Issues in Construction: Security, Integrity and Ownership" during the Construction Technology Festival-Online on October 21, 2020.…”

Section: Introductionmentioning

confidence: 99%

Understanding the Significance of Cybersecurity in the Construction Industry: Survey Findings

Soto

Turk

Maciel

et al. 2022

J. Constr. Eng. Manage.

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Analogous to Industry 4.0, we have the advent of Construction 4.0, a transformative process wherein digital technology and digitalization affect every phase of the life cycle of construction projects, from the design and contracting phase to the construction, operation, maintenance, upgrade, and decommissioning ones. The progress of digitalization has been uneven, as has been the recognition of the new security environment in which the architecture, engineering, construction, and operation (AECO) industry operates. Hackers for profit, disloyal competitors, disgruntled insiders, or even state agents employing hybrid warfare all utilize cyber means to achieve goals that can disrupt processes, corrupt information, interrupt operations, and cause significant material damage or even loss of human life. Starting from recognizing the paucity of studies in this field, this paper analyzes the results from a survey on cybersecurity awareness in the AECO industry. The analyses employed statistical methods such as t-test, Spearman's rank correlation test, and ANOVA to test the hypotheses formulated to answer the research questions of the study. The resulting data are commented upon and placed in the context of an evolving industry confronted with the shock of the new security environment, while also moving forward on Construction 4.0 as a creator of added value, new efficiencies, and new capabilities.

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Cybersecurity in Construction: Where Do We Stand and How Do We Get Better Prepared

Cited by 11 publications

References 37 publications

Cyber Risk Assessment Framework for the Construction Industry Using Machine Learning Techniques

Cyber Risk Assessment Framework for the Construction Industry Using Machine Learning Techniques

Smart and Resilient Infrastructure For Emerging Economies: Perspectives on Building Better

Understanding the Significance of Cybersecurity in the Construction Industry: Survey Findings

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