Revisiting the internet of things: New trends, opportunities and grand challenges

Elgazzar, Khalid; Khalil, Haytham; Alghamdi, Taghreed; Badr, A.; Abdelkader, Ghadeer; Elewah, Abdelrahman; Buyya, Rajkumar

doi:10.3389/friot.2022.1073780

Cited by 21 publications

(10 citation statements)

References 54 publications

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“…IoT has expanded to encompass various industries, including smart factories, healthcare, smart cities, and transportation [17]. Recent forecasts indicated that IoT-connected devices exceeded 10 billion in 2021, and are expected to reach 41 billion by 2027, with smart home and factory devices driving the market [18]. Sensors and actuators are vital to the Internet of Things as they gather data and manipulate actual environments.…”

Section: Exploring Evolving Opportunities Trends and Striking Demands...mentioning

confidence: 99%

“…The proliferation of IoT devices, the diverse nature of these devices, and the evolution of communication protocols have led to a surge in enabling technologies from an engineering standpoint [19]. AI and ML techniques have further enhanced the potential of IoT by extracting insights from heterogeneous sensor data, thereby reshaping business operations [18,20]. The modular design of IoT systems, which abstracts these systems into separate components, enhances their adaptability and clarifies their architecture [20].…”

Section: Exploring Evolving Opportunities Trends and Striking Demands...mentioning

confidence: 99%

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Tides of Blockchain in IoT Cybersecurity

Ahakonye,

Nwakanma,

Kim

2024

Sensors

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This paper surveys the implementation of blockchain technology in cybersecurity in Internet of Things (IoT) networks, presenting a comprehensive framework that integrates blockchain technology with intrusion detection systems (IDS) to enhance IDS performance. This paper reviews articles from various domains, including AI, blockchain, IDS, IoT, and Industrial IoT (IIoT), to identify emerging trends and challenges in this field. An analysis of various approaches incorporating AI and blockchain demonstrates the potentiality of integrating AI and blockchain to transform IDS. This paper’s structure establishes the foundation for further investigation and provides a blueprint for the development of IDS that is accessible, scalable, transparent, immutable, and decentralized. A demonstration from case studies integrating AI and blockchain shows the viability of combining the duo to enhance performance. Despite the challenges posed by resource constraints and privacy concerns, it is notable that blockchain is the key to securing IoT networks and that continued innovation in this area is necessary. Further research into lightweight cryptography, efficient consensus mechanisms, and privacy-preserving techniques is needed to realize all of the potential of blockchain-powered cybersecurity in IoT.

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Section: Exploring Evolving Opportunities Trends and Striking Demands...mentioning

confidence: 99%

Section: Exploring Evolving Opportunities Trends and Striking Demands...mentioning

confidence: 99%

Tides of Blockchain in IoT Cybersecurity

Ahakonye,

Nwakanma,

Kim

2024

Sensors

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“…Meanwhile, the advent of mobility and smart devices introduced mobile computing as an evolution of pervasive computing. The development of smart, inexpensive, and universally accessible devices led to the dawn of the fourth industrial revolution commonly known as Internet of things (IoT;World Economic Forum, 2021;Elgazzar et al, 2022). The increase in computing power of small devices has now evolved IoT to Internet of everything (IoE; Vaya and Hadpawat, 2019;da Costa et al, 2021).…”

Section: Introductionmentioning

confidence: 99%

Augmenting context with power information for green context-awareness in smart environments

Mahmud,

Hussain

2024

Front. Comput. Sci.

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The increase in the use of smart devices has led to the realization of the Internet of Everything (IoE). The heart of an IoE environment is a Context-Aware System that facilitates service discovery, delivery, and adaptation based on context classification. The context has been defined in a domain-dependent way, traditionally. The classical models of context have been focused on rich context and lack Cost of Context (CoC) that can be used for decision support. The authors present a philosophy-inspired mathematical model of context that includes confidence in activity classification of context, the actions performed, and the power information. Since a single recurring activity can lead to distinct actions performed at different times, it is better to record the actions. The power information includes the power consumed in the complete context processing and is a quality attribute of the context. Power consumption is a useful metric as CoC and is suitable for power-constrained context awareness. To demonstrate the effectiveness of the proposed work, example contexts are described, and the context model is presented mathematically in this study. The context is aggregated with power information, and actions and confidence on the classification outcome lead to the concept of situational context. The results show that the context gathered through sensor data and deduced through remote services can be made more rich with CoC parameters.

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“…The key focus within the field of artificial intelligence (AI) is to create intelligent agents capable of interacting with humans in a natural and intuitive way (Weiss, 1999; Shabbir and Anwer, 2018) [ 7 , 8 ]. The widespread adoption of smart devices and the Internet of Things (IoT) has sparked a growing interest (Elgazzar, Khalil, Alghamdi, Badr, Abdelkader, Elewah and Buyya, 2022; Madakam, Lake, Lake, and Lake, 2015) [ 9 , 10 ] in the concept of smart spaces—physical environments that are enriched with intelligent technologies to augment and improve human activities [ 1 ]. The potential of smart spaces to revolutionize sectors, such as healthcare, education, entertainment, and transportation, is significant.…”

Section: Introductionmentioning

confidence: 99%

Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience

Ndaguba

Cilliers

Ghosh

et al. 2023

Sensors

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This literature review highlights the emergence of the Internet of Things (IoT) and the proliferation of connected devices as the driving force behind the adoption of smart spaces. This review also discusses the various applications of smart spaces, including smart homes, smart cities, and smart healthcare: (1) Background: the aim of this research is to provide a comprehensive overview of the concept of smart spaces, including their key features, technologies, and applications in built environments and urban areas; (2) Methods: The study adopts a qualitative approach, drawing on secondary sources, such as academic journals, reports, and online sources; (3) Results: The findings suggest that smart spaces have the potential to transform the way people interact with their environment and each other. They could improve efficiency, safety, and quality of life. However, there are also concerns about privacy and security in relation to the collection and use of personal data; (4) Conclusions: The study concludes that smart spaces have significant theoretical and practical implications for various fields, including architecture, urban planning, and healthcare. The theoretical implications include the need for new models and frameworks to understand the complex relationships between technology, space, and society. The practical implications involve the development of new standards and regulations to ensure the responsible and ethical use of smart spaces.

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Revisiting the internet of things: New trends, opportunities and grand challenges

Cited by 21 publications

References 54 publications

Tides of Blockchain in IoT Cybersecurity

Tides of Blockchain in IoT Cybersecurity

Augmenting context with power information for green context-awareness in smart environments

Operability of Smart Spaces in Urban Environments: A Systematic Review on Enhancing Functionality and User Experience

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