Approaches to global sustainability, markets, and governance, Год журнала: 2024, Номер unknown, С. 149 - 164
Опубликована: Янв. 1, 2024
Язык: Английский
Sensors, Год журнала: 2025, Номер 25(3), С. 624 - 624
Опубликована: Янв. 22, 2025
The Internet of Medical Things (IoMT) is revolutionizing healthcare by enabling advanced patient care through interconnected medical devices and systems. However, its critical role sensitive data make it a prime target for cyber threats, requiring the implementation effective security solutions. This paper presents novel intrusion detection system (IDS) specifically designed IoMT networks. proposed IDS leverages machine learning (ML) deep (DL) techniques, employing stacking ensemble method to enhance accuracy integrating strengths multiple classifiers. To ensure real-time performance, implemented within Kappa Architecture framework, continuous processing streams. effectively detects classifies wide range cyberattacks, including ARP spoofing, DoS, Smurf, Port Scan, achieving an outstanding 0.991 in binary classification 0.993 multi-class classification. research highlights potential combining ML DL methods with address unique cybersecurity challenges systems, providing reliable scalable solution safeguarding services.
Язык: Английский
Процитировано
2
Vaccines, Год журнала: 2024, Номер 12(8), С. 847 - 847
Опубликована: Июль 28, 2024
The COVID-19 pandemic underscored the critical importance of vaccination to global health security and highlighted potential digital solutions improve immunization strategies. This article explores integrating technologies with programs coverage, monitoring, public outcomes. It examines current landscape tools used in initiatives, such as mobile apps, electronic records, data analytics platforms. Case studies from different regions demonstrate effectiveness these addressing challenges vaccine hesitancy, logistics, real-time monitoring distribution adverse events. paper also ethical considerations, privacy issues, need for a robust infrastructure support innovations. By analyzing successes limitations interventions campaigns during after pandemic, we provide recommendations future integration strategies ensure resilient responsive systems. research aims guide policymakers, professionals, technologists leveraging strengthen efforts prepare emergencies.
Язык: Английский
Процитировано
6
Sensors, Год журнала: 2024, Номер 24(18), С. 5937 - 5937
Опубликована: Сен. 13, 2024
This study investigates the efficacy of machine learning models for intrusion detection in Internet Medical Things, aiming to enhance cybersecurity defenses and protect sensitive healthcare data. The analysis focuses on evaluating performance ensemble algorithms, specifically Stacking, Bagging, Boosting, using Random Forest Support Vector Machines as base WUSTL-EHMS-2020 dataset. Through a comprehensive examination metrics such accuracy, precision, recall, F1-score, Stacking demonstrates exceptional accuracy reliability detecting classifying cyber attack incidents with an rate 98.88%. Bagging is ranked second, 97.83%, while Boosting yielded lowest 88.68%.
Язык: Английский
Процитировано
5
International Journal of Information Technology, Год журнала: 2025, Номер unknown
Опубликована: Янв. 15, 2025
Язык: Английский
Процитировано
0
International Journal of Engineering Business Management, Год журнала: 2025, Номер 17
Опубликована: Янв. 22, 2025
Internet of Things (IoT) enabled wireless body area network (WBAN) is a novel technology that combines medical, wireless, and non-medical devices for healthcare management applications. Indoor institutions, such as hospitals, may employ IoT to manage medical equipment, maintain inventory, monitor patients. In addition monitoring temperature, humidity, air quality, sensors help prevent the spread sickness. The data generated by small sensor need strong security methods secure transmission over public network. Security sent from source destination handled transport layer (TLS) protocol message loss or reordering. most difficult component TLS determining how handle reliability. Low-power networks Datagram Transport Layer (DTLS) solve this problem. But if Server exposed malicious attack (i.e., flooded with ClientHello messages, DTLS no longer serve purpose) it lead Denial-of-Service (DoS). paper proposes an intelligent gateway-based verification approval system protect health wearable devices, key worldwide risk. Paper used Contiki Network Simulator designing advanced smart constrained application Improved (CoAP I-DTLS) protocol. To assess effectiveness proposed work, packet ratio computed CoAP, CoAP-DTLS, CoAP I-DTLS protocols. improved I-DTLS, calculations are also made transfer handshake time. will look at ways increase integrating Secure Hash Algorithm (SHA-256) utilizing Certificate Authority (CA) improvements. Evaluation parameters Packet ratio, Data time, Energy consumption average considered detailed simulation results have been presented.
Язык: Английский
Процитировано
0
Telecommunication Systems, Год журнала: 2025, Номер 88(1)
Опубликована: Фев. 18, 2025
Язык: Английский
Процитировано
0
International Journal of Intelligent Systems, Год журнала: 2025, Номер 2025(1)
Опубликована: Янв. 1, 2025
The Internet of Things (IoT) has become a transformative force across various sectors, including healthcare, offering new opportunities for automation and enhanced service delivery. evolving architecture the IoT presents significant challenges in establishing comprehensive cyber‐physical framework. This paper reviews recent advancements IoT‐driven healthcare automation, focussing on integrating technologies such as cloud computing, augmented reality wearable devices. work examines network architectures platforms that support applications while addressing critical security privacy issues, specific threat models, attack classifications prerequisites relevant to sector. study highlights how emerging like distributed intelligence, big data analytics devices are incorporated into improve patient care streamline medical operations. findings reveal potential transform practices, particularly in‐patient monitoring, clinical decision‐making. However, concerns continue be substantial barrier. also explores implications global ehealth strategies their influence sustainable economic community growth. It proposes an innovative cooperative model mitigate risks IoT‐enabled systems. Finally, it identifies key unresolved future research IoT‐based healthcare.
Язык: Английский
Процитировано
0
Discover Internet of Things, Год журнала: 2025, Номер 5(1)
Опубликована: Апрель 10, 2025
Язык: Английский
Процитировано
0
Studies in big data, Год журнала: 2025, Номер unknown, С. 135 - 160
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
International Journal of Online and Biomedical Engineering (iJOE), Год журнала: 2024, Номер 20(11), С. 46 - 65
Опубликована: Авг. 8, 2024
This paper introduces the intelligent interconnected healthcare system (IIHS), an innovative fusion of Internet Things (IoT) and big data analytics technologies designed to revolutionize proactive personalized healthcare. IIHS facilitates integration real-time from various devices, ambient sensors, hospital equipment, creating a continuous stream comprehensive data. Leveraging advanced analysis, offers actionable insights for ongoing patient health monitoring, trend prediction through machine learning, rapid information access via user-friendly interface. The architecture features combination centralized cloud storage edge at facilities, enhancing both efficiency security in management. effectiveness has been demonstrated two which reported significant reductions length stay readmission rates. indicates system’s potential improve care while seamlessly integrating with existing infrastructures. represents future digital medicine, offering scalable, patient-centric solution that supports transformation towards data-driven
Язык: Английский
Процитировано
3