Secure Integration of IoT-Enabled Sensors and Technologies: Engineering Applications for Humanitarian Impact

Usmani, Usman Ahmad; Happonen, Ari; Watada, Junzo

doi:10.1109/hora58378.2023.10156740

Cited by 16 publications

(7 citation statements)

References 75 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Several attacks, including unauthorized access, device spoofing, and Man-in-the-Middle attacks, are intrinsic to IoT environments. Engineering applications and humanitarian context were explored in [30], integrating IoT-enabled sensors and technologies. The authors discussed ways to ensure the reliability and integrity of IoT systems by implementing robust security measures.…”

Section: Inclusionmentioning

confidence: 99%

“…[29] The IoT ecosystem is examined in depth, focusing primarily on cybersecurity, privacy, and connectivity. [30] Ways that IoT-enabled technologies and sensors can be integrated securely into humanitarian applications are investigated. [31] Managing access control in IoT environments in a decentralized, fine-grained, and dynamic way to help distributed systems reach consensus faster.…”

Section: Inclusionmentioning

confidence: 99%

See 1 more Smart Citation

IoT Security Model for Smart Cities based on a Metamodeling Approach

Alotaibe

2024

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

Security solutions for the Internet of Things (IoT) in smart cities are complex and require a comprehensive approach to success. Several models and frameworks have been developed focusing on IoT security. Some deal with access controls and security and some with authentication and authorization in various forms. Literature still lacks a comprehensive IoT security model for smart cities, which can support the implementation of IoT. Accordingly, this study has set two objectives: to explore the present studies in IoT security for smart cities and to develop an IoT security model for smart cities based on the metamodeling approach. According to the findings of the study, the existing IoT security models for smart cities consider seven security aspects: authentication and authorization, device management, intrusion detection and prevention, device integrity, secure communication, secure data storage, and response to security incidents. The model developed in this study, called IoT Security Metamodel (IoTSM), combines these aspects. IoTSM captures the main qualities of IoT security practices in smart cities through domain security processes.

show abstract

Section: Inclusionmentioning

confidence: 99%

Section: Inclusionmentioning

confidence: 99%

IoT Security Model for Smart Cities based on a Metamodeling Approach

Alotaibe

2024

Eng. Technol. Appl. Sci. Res.

View full text Add to dashboard Cite

show abstract

“…Establishing industry standards and protocols is essential for seamless integration and data exchange, and thorough network assessments, capacity planning, and performance testing help identify and resolve any limitations or bottlenecks in the network infrastructure [57].…”

Section: B Scalability and Network Infrastructure Challengesmentioning

confidence: 99%

Advancing Medical Device Manufacturing: The Convergence of Edge Computing and Industry 5.0

kumar Dave

2023

IJEAST

View full text Add to dashboard Cite

The integration of edge computing and Industry 5.0 has the potential to revolutionize medical device manufacturing, enhancing the effectiveness, functionality, and safety of medical devices. This research article explores the opportunities and challenges associated with this convergence in the medical device sector. The paper highlights how edge computing enables real-time data processing and analysis at the production site, leading to enhanced real-time monitoring, diagnostics, and predictive maintenance for medical devices. Additionally, Industry 5.0 principles promote human-robot collaboration, personalized healthcare, and intelligent decision-making through data analytics and AI. The paper also addresses the challenges of cybersecurity, privacy concerns, scalability, network infrastructure, and interoperability issues in the implementation of edge computing and Industry 5.0. The article emphasizes the importance of standardized communication protocols and data formats to ensure seamless interoperability. Lastly, it outlines potential areas of research and development, such as realtime analytics, cybersecurity, and human-robot collaboration, to further enhance the integration of edge computing and Industry 5.0 in medical device manufacturing. Researchers, manufacturers, and policymakers stand to benefit from a comprehensive understanding of the opportunities and challenges, enabling the development of strategies to drive positive industry-wide outcomes in medical device manufacturing.

show abstract

“…This constitutes a breakthrough in promoting conservation, especially in reducing carbon dioxide emissions and improving resource efficiency. As highlighted in Usmani, Happonen, and Watada (2023), however, such integration of IoT-enabled sensors/technologies should be done with caution. Carelessness in planning or implementation should not cause undesirable consequences to the environment, among other unplanned negative effects.…”

Section: Ethical and Environmental Aspects Of Ai In Infrastructurementioning

confidence: 99%

Advancing Infrastructure in Developing Nations: A Synthesis of Ai Integration Strategies for Smart Pavement Engineering

Eche Samuel Okem,

Emmanuel Adikwu Ukpoju,

Abayomi B. David

et al. 2023

Eng. sci. technol. j.

View full text Add to dashboard Cite

This research focuses on the transformational potential of artificial intelligence (AI) towards the field of pavement engineering, particularly considering underdeveloped nations. This exploratory study aims to shed light on the complex effects AI has on pavement engineering and management processes, as well as various strategic, policy, and ethical perspectives underpinning its implementation. By using a systematic process, the study builds on information from academic papers, case studies, and industry research to create more enriching knowledge on this topic. Through a robust study, it is shown that AI helps improve the composition of pavement materials building and maintenance routines. Such a study shows that AI can improve the level of economic benefits in the pavement infrastructure of underdeveloped countries. These key findings emphasize how AI reduces the costs of design, predictive maintenance models, and sustainable materials use. In addition, the study traverses through the difficult routes of policy and institutional frameworks, stating that the policies ought to be responsive while collaboration is required in promoting AI uptake. The discussion integrates ethics and the environment very carefully, as required by sustainability and equity. Lastly, the research presents an excellent argument for AI as an agent for constructing new and eco-friendly transportation infrastructure in poor countries. These countries’ recommended policies should be flexible, as they promote capacity building and ethics in AI with regard to infrastructure development as part of their developmental paths, which are simultaneously technical and social. Keywords: Artificial Intelligence, Pavement Engineering, Developing Nations, Sustainable Infrastructure, Ethical AI, Transportation

show abstract

Secure Integration of IoT-Enabled Sensors and Technologies: Engineering Applications for Humanitarian Impact

Cited by 16 publications

References 75 publications

IoT Security Model for Smart Cities based on a Metamodeling Approach

IoT Security Model for Smart Cities based on a Metamodeling Approach

Advancing Medical Device Manufacturing: The Convergence of Edge Computing and Industry 5.0

Advancing Infrastructure in Developing Nations: A Synthesis of Ai Integration Strategies for Smart Pavement Engineering

Contact Info

Product

Resources

About