AI in Motion: Securing the Future of Healthcare and Mobility through Cybersecurity

The development of artificial intelligence (AI) is bringing significant transformation to the healthcare and mobility sectors, although it is creating new cybersecurity challenges. This research aims to analyze the cyber threats arising from the application of AI in health and mobility systems, and explore security measures to mitigate these risks. The qualitative research method included literature analysis and data collection from various relevant case studies. The results show that AI improves efficiency in the healthcare sector, such as more accurate diagnosis and personalization of patient care, but also presents threats such as patient data breaches and algorithm manipulation. In the mobility sector, AI plays a role in the development of autonomous vehicles and intelligent transportation systems that face the risk of hacking and data manipulation. Various solutions, such as blockchain, federated learning, and homomorphic encryption, have been identified as effective approaches to improve AI security. The implication of this research is the importance of cross-sector collaboration between policymakers, technologists, and cybersecurity experts to ensure the safe, ethical, and reliable use of AI. With strengthened security measures, AI can continue to provide significant benefits to society and industry sectors.

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Publication Details

Journal
Asian Journal of Engineering Social and Health
Published
2025-01-29
DOI
https://doi.org/10.46799/ajesh.v4i1.525
Citations
1
Primary Topic
Blockchain Technology Applications and Security
Type
article
Field-Weighted Citation Impact
3.25
Controls
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article

AI in Motion: Securing the Future of Healthcare and Mobility through Cybersecurity

Murad Khan, Abdul Mannan Khan Sherani, M. H. S. Amin, H Shah et al.
1 citations
Asian Journal of Engineering Social and Health
Blockchain Technology Applications and Security
3.25
article

AI in Motion: Securing the Future of Healthcare and Mobility through Cybersecurity

Murad Khan, Abdul Mannan Khan Sherani, M. H. S. Amin, H Shah, Nahid Neoaz, Ahmad Bacha, Noman Abid
article en
1 citations

Abstract

The development of artificial intelligence (AI) is bringing significant transformation to the healthcare and mobility sectors, although it is creating new cybersecurity challenges. This research aims to analyze the cyber threats arising from the application of AI in health and mobility systems, and explore security measures to mitigate these risks. The qualitative research method included literature analysis and data collection from various relevant case studies. The results show that AI improves efficiency in the healthcare sector, such as more accurate diagnosis and personalization of patient care, but also presents threats such as patient data breaches and algorithm manipulation. In the mobility sector, AI plays a role in the development of autonomous vehicles and intelligent transportation systems that face the risk of hacking and data manipulation. Various solutions, such as blockchain, federated learning, and homomorphic encryption, have been identified as effective approaches to improve AI security. The implication of this research is the importance of cross-sector collaboration between policymakers, technologists, and cybersecurity experts to ensure the safe, ethical, and reliable use of AI. With strengthened security measures, AI can continue to provide significant benefits to society and industry sectors.

Asian Journal of Engineering Social and HealthVol. 4(1)
Wilmington University (US), Kettering University (US), National American University (US)
Openalex Percentile: Top 11%
Blockchain Technology Applications and Security
3.25
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AI in Motion: Securing the Future of Healthcare and Mobility through Cybersecurity — Murad Khan, Abdul Mannan Khan Sherani, et al. · Asian Journal of Engineering Social and Health (2025) | TGRS Research Map | TGRS