The Need for Cybersecurity in Industrial Revolution and Smart Cities

Clim, Antonio; Toma, Andrei; Zota, Răzvan Daniel; Constantinescu, Radu

doi:10.3390/s23010120

Cited by 14 publications

(10 citation statements)

References 107 publications

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“…This innovative data governance model emphasizes the ethical and responsible use of data in smart city applications (Habibzadeh et al, 2019). Successful implementations of cybersecurity strategies in smart cities require a combination of technical measures, regulatory frameworks, and collaborative initiatives (Clim et al, 2022). By learning from past cyber incidents, adopting innovative approaches, and prioritizing the protection of citizen data and privacy rights, smart cities can enhance cybersecurity resilience and safeguard critical infrastructure against evolving cyber threats (Deibert, 2018).…”

Section: Case Studies and Examplesmentioning

confidence: 99%

“…However, along with these benefits come significant challenges. Challenges of smart city technologies include the complexity of integrating diverse systems and technologies, ensuring interoperability and scalability, addressing privacy concerns related to data collection and usage, and managing cybersecurity risks (Clim et al, 2022). As smart cities become increasingly reliant on digital infrastructure and interconnected systems, cybersecurity emerges as a critical consideration in their development and operation (Kim et al, 2023).…”

Section: Introductionmentioning

confidence: 99%

“…Therefore, ensuring the cybersecurity of smart city systems is paramount to safeguarding the integrity, availability, and confidentiality of critical infrastructure and citizen information (Ahmadi-Assalemi et al, 2020). In addressing the cybersecurity challenges, it is essential to consider the specific threats associated with data exchange in smart cities and their potential consequences (Clim et al, 2022). Additionally, a comprehensive understanding of the smart city threat landscape, challenges related to data acquisition and storage, and the importance of cyber resilience and incident response is crucial (Alfouzan, 2022;Ahmadi-Assalemi et al, 2020).…”

Section: Introductionmentioning

confidence: 99%

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Securing the Smart City: A Review of Cybersecurity Challenges and Strategies

Johnson Sunday Oliha,

Preye Winston Biu,

Ogagua Chimezie Obi

2024

Eng. sci. technol. j.

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In the era of rapid urbanization and technological advancement, the emergence of smart cities promises innovative solutions to urban challenges. However, the integration of various technologies into urban infrastructures also exposes cities to unprecedented cybersecurity threats. This review presents a comprehensive review of the cybersecurity challenges faced by smart cities and explores the strategies to mitigate these risks. Smart cities leverage interconnected networks of sensors, devices, and systems to enhance efficiency, sustainability, and citizen services. Yet, this interconnectedness creates a complex attack surface vulnerable to cyber threats. One of the primary challenges is the diverse range of IoT devices deployed across smart city infrastructures, often lacking robust security mechanisms. These devices are susceptible to exploitation by cybercriminals for malicious activities, such as data breaches, sabotage, and surveillance. Moreover, the interconnected nature of smart city systems amplifies the potential impact of cyberattacks, posing significant risks to critical infrastructure, public safety, and privacy. Threat actors can exploit vulnerabilities in interconnected systems to disrupt essential services, manipulate data, or even cause physical harm. As smart cities rely on data-driven decision-making, the integrity and confidentiality of data become paramount concerns. To address these challenges, various cybersecurity strategies have been proposed and implemented. These strategies encompass a multi-layered approach, integrating technical solutions, regulatory frameworks, and collaboration among stakeholders. Technical measures include encryption, authentication mechanisms, intrusion detection systems, and secure software development practices. Additionally, implementing robust access controls and network segmentation can limit the scope of potential attacks. Furthermore, regulatory initiatives play a crucial role in enhancing cybersecurity standards and promoting compliance among smart city stakeholders. Establishing clear guidelines for data protection, privacy rights, and incident response protocols is essential to safeguarding citizens' interests. Collaboration among government agencies, private sector partners, academia, and cybersecurity experts fosters information sharing and collective defense against emerging threats. Securing smart cities against cybersecurity threats requires a concerted effort to address the multifaceted challenges posed by interconnected technologies. By implementing comprehensive strategies encompassing technical measures, regulatory frameworks, and collaborative approaches, smart cities can mitigate risks and foster a resilient and secure urban environment for all citizens. Keywords: Smart City, Cybersecurity, AI, Technology, Security, Review.

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Section: Case Studies and Examplesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Securing the Smart City: A Review of Cybersecurity Challenges and Strategies

Johnson Sunday Oliha,

Preye Winston Biu,

Ogagua Chimezie Obi

2024

Eng. sci. technol. j.

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“…This way, creating new smart infrastructures becomes essential in our society. These infrastructures and related applications help cities improve governance and the quality of life of resident citizens, which is included in this transformation [1]. For instance, it is possible to create voting applications [2], auctions [3], multi-signature wallets [4], and so on.…”

Section: Introductionmentioning

confidence: 99%

Smart Contracts for Managing the Chain-of-Custody of Digital Evidence: A Practical Case of Study

et al. 2023

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The digital revolution is renewing many aspects of our lives, which is also a challenge in judicial processes, such as the Chain-of-Custody (CoC) process of any electronic evidence. A CoC management system must be designed to guarantee them to maintain its integrity in court. This issue is essential for digital evidence’s admissibility and probative value. This work has built and validated a real prototype to manage the CoC process of any digital evidence. Our technological solution follows a process model that separates the evidence registry and any evidence itself for scalability purposes. It includes the development of an open-source smart contract under Quorum, a version of Ethereum oriented to private business environments. The significant findings of our analysis have been: (1) Blockchain networks can become a solution, where integrity, privacy and traceability must be guaranteed between untrustworthy parties; and (2) the necessity of promoting the standardization of CoC smart contracts with a secure, simple process logic. Consequently, these contracts should be deployed in consortium environments, where reliable, independent third parties validate the transactions without having to know their content.

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“…This interconnectivity, through the integration of smart devices into large-scale networks, has enabled the transformation of virtually every aspect of society, from industry and healthcare to people's daily lives. With this technological revolution have come cybersecurity challenges [4]. New attacks and vulnerabilities have emerged due to the breadth and diversity of IoT devices and their ability to exchange data and communicate with each other.…”

Section: Introductionmentioning

confidence: 99%

A Comparison of Monte Carlo-Based and PINN Parameter Estimation Methods for Malware Identification in IoT Networks

Severt,

Casado-Vara,

Martín del Rey

2023

Technologies

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Malware propagation is a growing concern due to its potential impact on the security and integrity of connected devices in Internet of Things (IoT) network environments. This study investigates parameter estimation for Susceptible-Infectious-Recovered (SIR) and Susceptible–Infectious–Recovered–Susceptible (SIRS) models modeling malware propagation in an IoT network. Synthetic data of malware propagation in the IoT network is generated and a comprehensive comparison is made between two approaches: algorithms based on Monte Carlo methods and Physics-Informed Neural Networks (PINNs). The results show that, based on the infection curve measured in the IoT network, both methods are able to provide accurate estimates of the parameters of the malware propagation model. Furthermore, the results show that the choice of the appropriate method depends on the dynamics of the spreading malware and computational constraints. This work highlights the importance of considering both classical and AI-based approaches and provides a basis for future research on parameter estimation in epidemiological models applied to malware propagation in IoT networks.

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The Need for Cybersecurity in Industrial Revolution and Smart Cities

Cited by 14 publications

References 107 publications

Securing the Smart City: A Review of Cybersecurity Challenges and Strategies

Securing the Smart City: A Review of Cybersecurity Challenges and Strategies

Smart Contracts for Managing the Chain-of-Custody of Digital Evidence: A Practical Case of Study

A Comparison of Monte Carlo-Based and PINN Parameter Estimation Methods for Malware Identification in IoT Networks

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