Опубликована: Янв. 1, 2024
Язык: Английский
Safety Science, Год журнала: 2025, Номер 184, С. 106770 - 106770
Опубликована: Янв. 5, 2025
Язык: Английский
Процитировано
2
Deleted Journal, Год журнала: 2024, Номер 4(2), С. 20 - 62
Опубликована: Май 23, 2024
Cutting-edge technologies have been widely employed in healthcare delivery, resulting transformative advances and promising enhanced patient care, operational efficiency, resource usage. However, the proliferation of networked devices data-driven systems has created new cybersecurity threats that jeopardize integrity, confidentiality, availability critical data. This review paper offers a comprehensive evaluation current state context smart healthcare, presenting structured taxonomy its existing cyber threats, mechanisms essential roles. study explored (SHSs). It identified discussed most pressing attacks SHSs face, including fake base stations, medjacking, Sybil attacks. examined security measures deployed to combat SHSs. These include cryptographic-based techniques, digital watermarking, steganography, many others. Patient data protection, prevention breaches, maintenance SHS integrity are some roles ensuring sustainable healthcare. The long-term viability depends on constant assessment risks harm providers, patients, professionals. aims inform policymakers, practitioners, technology stakeholders about imperatives best practices for fostering secure resilient ecosystem by synthesizing insights from multidisciplinary perspectives, such as cybersecurity, management, sustainability research. Understanding recent is controlling escalating networks encouraging intelligent delivery.
Язык: Английский
Процитировано
8
Mesopotamian Journal of Artificial Intelligence in Healthcare, Год журнала: 2024, Номер 2024, С. 28 - 34
Опубликована: Фев. 2, 2024
Growing global awareness that attention to health care is the basis for maintaining citizens' quality of life. Health institutions seek increase interest in electronic services and enhance patient results by integrating artificial intelligence techniques. Artificial tools are indispensable diagnosis, treatment, care. Integrating techniques into development healthcare environment works public disease prevention provide free all citizens. Designing platforms raises society, provides programs initiatives, reaches homes, gardens, schools, universities through applications based on intelligence. The primary purpose this article challenge extent which related medicine its contribution positive negative effects revolutionizing services.
Язык: Английский
Процитировано
7
Journal of Health Organization and Management, Год журнала: 2025, Номер unknown
Опубликована: Янв. 13, 2025
Purpose The healthcare ecosystem continues to evolve with new technological developments the support of its stakeholders. technology-driven and patient-centric Healthcare 5.0 (H5.0) is undergoing a transformation promising enormous benefits. However, need identify understand inherent challenges barriers faced in journey H5.0 implementation relevant countermeasures for accelerated has become critical. Design/methodology/approach current research paper utilised Delphi approach collection information applied well-proven quality function deployment (QFD) methodology analysis. Findings house (HOQ) tool from QFD highlighted critical which contribute to, approximately, 60% total weight. identified top five process descriptors developed HOQ also contribute, approximately among overall countermeasures. A useful progress (HIP) index been recommended tracking made journey. Originality/value This first that provided application domain H5.0. It insights Furthermore, development simple practical HIP another value addition.
Язык: Английский
Процитировано
0
Elsevier eBooks, Год журнала: 2025, Номер unknown, С. 151 - 169
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Research Square (Research Square), Год журнала: 2023, Номер unknown
Опубликована: Дек. 15, 2023
Abstract This study introduces an advanced decoy file strategy utilizing Generative Adversarial Networks (GANs) to combat data exfiltration ransomware threats. Focused on creating highly realistic documents, the system embeds these across enterprise networks, engaging threats effectively. It includes real-time monitoring for abnormal interactions and proactive response mechanisms threat containment. Rigorous testing against various samples demonstrated high engagement rates rapid times, confirming system's effectiveness. Integration diverse network types was achieved with minimal operational overhead. highlights adaptability in face of evolving tactics underscores balance between realism deployability.
Язык: Английский
Процитировано
11
IntechOpen eBooks, Год журнала: 2024, Номер unknown
Опубликована: Май 10, 2024
Biotechnology Industry 5.0 is advancing with the integration of cutting-edge technologies such as Machine Learning (ML), Internet Things (IoT), and cloud computing. It no surprise that an industry utilizes data from customers can alter their lives a target variety attacks. This chapter provides perspective on how Security Operations (MLSecOps) help secure biotechnology 5.0. The analysis threats in ML algorithms best practices. explores scope MLSecOps 5.0, highlighting crucial it to comply current regulatory frameworks. With developing innovative solutions healthcare, supply chain management, biomanufacturing, pharmaceutical sectors, more, also discusses practices enterprises should follow while considering ethical responsibilities. Overall, discussion integrate into design, deployment, regulation processes
Язык: Английский
Процитировано
2
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
1
Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 132 - 147
Опубликована: Июль 23, 2024
This chapter reviews the healthcare prospects that include obsolete infrastructure, disparate ecosystems, human mistakes, and data privacy issues then assesses ability of Industry 5.0 technologies to strengthen resilience while pointing out security risks smart devices, AI, blockchain, IoT applications operating on medical care efficacy. The suggests a multi-faceted approach centering cybersecurity by design, advanced threat detection, governance, joint efforts. To solve these issues, innovations made specifically for in healthcare, overcoming its threats, institutions will be able build more resilient secure digital tomorrow patients providers.
Язык: Английский
Процитировано
0
Advances in healthcare information systems and administration book series, Год журнала: 2024, Номер unknown, С. 59 - 76
Опубликована: Ноя. 22, 2024
The primary object of this chapter is to focus on deep learning and how it useful for healthcare risk assessment. A potential risk, mitigate weaknesses assessment important early detection through the analysis guarantee patient staff safety. approach tackling everyday problems has radically changed in age artificial intelligence (AI), machine learning, learning. We are now concentrating developing technology that specific fields. Deep techniques offer a wide range applications health care, even though still its phases. From keeping an individual's universal record emerging technologies enabled by we will see many upgrades fundamentally change industry scenario coming years. can evaluate organized or unstructured data at high rate.
Язык: Английский
Процитировано
0