Security for Internet-of-Things Enabled E-Health using Blockchain and Artificial Intelligence: A Novel Integration Framework

Ikharo, Braimoh A.; Obiagwu, Adaorah; Obasi, Chukwuemeka; Hussein, Suleiman U.; Akah, Precious

doi:10.1109/icmeas52683.2021.9692368

Cited by 5 publications

(7 citation statements)

References 22 publications

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“…Security interfaces became a focal point with novel proposals for integrated technologies, such as a framework ensuring secure e-health services, mitigating security setbacks inherent in independent systems [19]. Simultaneously, advancements in secure smart wearable computing through AI-enabled IoT and cyber-physical systems showed promising results, especially in health monitoring applications [20].…”

Section: Early Developmentsmentioning

confidence: 99%

“…Security, a paramount concern in integrated IoT technologies, is addressed by Ikharo, Obiagwu [19], who propose a novel framework for ensuring robust security in the AI, IoT, and Blockchain ecosystem. This work emphasizes that advancements in data analytics must go hand-in-hand with robust security measures to instill trust in integrated IoT systems.…”

Section: Advancements In Data Analyticsmentioning

confidence: 99%

“…Their work offers valuable insights into the potential impact of the hybrid platform of IoT and cloud computing on healthcare systems. Furthermore, Ikharo, Obiagwu [19] proposed a novel framework for securing e-health data in the AI, IoT, and blockchain ecosystem, emphasizing the robustness and security of integrated technologies for e-health services. This work sheds light on the critical aspect of security in AI-IoT integration, particularly in the context of healthcare applications.…”

Section: Healthcare Applicationsmentioning

confidence: 99%

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Future of AI-Driven IoT: Identifying Emerging Trends in Intelligent Data Analysis and Privacy Protection

Marengo

2024

Preprint

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The integration of Artificial Intelligence (AI) with the Internet of Things (IoT) has propelled technological innovation across various industries. This systematic literature review explores the current state and future trajectories of AI in IoT, with a particular focus on emerging trends in intelligent data analysis and privacy protection. The proliferation of IoT devices, marked by voluminous data generation, has reshaped data processing methods, providing actionable insights for informed decision-making. While previous reviews have offered valuable insights, they often fall short of comprehensively addressing the multifaceted dimensions within the AI-driven IoT landscape. This review aims to bridge this gap by systematically examining existing literature and acknowledging the limitations of past studies. To achieve this aim, the study uses a meticulous approach guided by established methodologies. The chosen methodology ensures the rigor and validity of the review, aligning with PRISMA guidelines for systematic reviews. This systematic literature review serves as a comprehensive guide for researchers, practitioners, and policymakers, offering insights into the current landscape and paving the way for future research directions. The identified trends and challenges provide a valuable resource for navigating the evolving domain of AI in IoT, fostering a balanced, secure, and sustainable advancement in this dynamic field.

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Section: Early Developmentsmentioning

confidence: 99%

Section: Advancements In Data Analyticsmentioning

confidence: 99%

Section: Healthcare Applicationsmentioning

confidence: 99%

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Future of AI-Driven IoT: Identifying Emerging Trends in Intelligent Data Analysis and Privacy Protection

Marengo

2024

Preprint

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“…Recent developments in the field have also explored the integration of cloud computing, big data, AI, and IoT, leading to new challenges and research issues [61]. Moreover, there have been novel proposals for integrated technologyʹs security interfaces, such as a framework for secure e-health services that lessens security setbacks in independent ones [26]. Additionally, secure smart wearable computing through AI-enabled IoT and cyber-physical systems has shown promising results for health monitoring [58].…”

Section: Early Developmentsmentioning

confidence: 99%

The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

Marengo

2023

Preprint

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This paper explores the dynamic intersection of Artificial Intelligence (AI) and the Internet of Things (IoT), focusing on emerging trends in intelligent data analysis and privacy protection. Employing a systematic literature review, we analyze recent advancements and challenges in AI-IoT integration. The paper highlights key developments in sensor data anomaly detection, AI-driven big-data analytics, and IoT-based communication techniques. It delves into the complexities of privacy protection in IoT, examining innovative solutions like federated learning and blockchain technologies. The study also addresses the challenges in AI for IoT, prioritizing the most pressing issues such as data security, ethical implementation, and compliance with regulations like GDPR. The research underscores the need for adaptable solutions that balance technological advancements with privacy and security considerations, setting a path for future exploration in AI-empowered IoT applications.

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“…Recent developments in the field have also explored the integration of cloud computing, big data, AI, and IoT, leading to new challenges and research issues [61]. Moreover, there have been novel proposals for integrated technology's security interfaces, such as a framework for secure e-health services that lessens security setbacks in independent ones [26]. Additionally, secure smart wearable computing through AI-enabled IoT and cyber-physical systems has shown promising results for health monitoring [58].…”

Section: Early Developmentsmentioning

confidence: 99%

The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

Marengo

2023

Preprint

View full text Add to dashboard Cite

show abstract

Security for Internet-of-Things Enabled E-Health using Blockchain and Artificial Intelligence: A Novel Integration Framework

Cited by 5 publications

References 22 publications

Future of AI-Driven IoT: Identifying Emerging Trends in Intelligent Data Analysis and Privacy Protection

Future of AI-Driven IoT: Identifying Emerging Trends in Intelligent Data Analysis and Privacy Protection

The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

The Future of AI in IoT: Emerging Trends in Intelligent Data Analysis and Privacy Protection

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