Digital Forensics and Internet of Things. Группа авторов
Читать онлайн книгу.the temperature increments. This transducer is developed by sintering of semiconductor type materials like pottery or polymers to furnish greater changes in the obstruction with only a little change in temperature. After this, the following steps needs to be followed [34–36].
2.13.1 Transferring the Information to the Cloud
After we have effectively followed the above data, it should be sent to cloud where it very well may be put away and showed and moved to the application. Raspberry Pi utilizes internet to pass on information to the cloud and create data from concomitant databases.
2.13.2 Application Controls
From the cloud, when the application has the imperative information, it speaks and classifies to the body vitals of every patient. It, at that point, shows the important organization in an intuitive user interface where specialists can undoubtedly find the state of alluding patients. It has isolated login certifications for specialists and victims. Specialists can screen the well-being status of the considerable number of patients appointed to them while patients can just see their well-being status by signing in utilizing their particular login qualifications, while dampness status is available to the two specialists just as patients.
2.14 Conclusion and Future Perspectives
IoT has revolutionized the way of utilizing work premises conveying to human care services. These advances improve the item, causing a bigger impact by uniting minor changes. Headways in IoT are for the most part utilized for associating the various gadgets like as sensors, apparatuses, vehicles, and different items. Every one of these gadgets may furnish with “radio-recurrence ID (RFID) tag, sensors, actuators, cell phones, and numerous other”. By utilizing loT, every one of these gadgets is associated with building up the correspondence among them and proficiently gets to the data. With health IoT, medicinal service experts might have the option to receive persistent data, store it, and investigate it in a continuous way to test and track the patient. In any case, interconnected wearable patient devices and therapeutic administrations data (for instance, ECG signals) are reliant upon security breaks. To this end, this paper portrays a cloud-consolidated health IoT checking structure, where before sending to the cloud for “secure, safe, and first class prosperity watching”, human administrations data are being watermarked. Future work will incorporate testing the proposed health IoT checking framework for data security and notice limits, similarly as completing a test primer with real-world healthcare seekers and prosperity specialists.
References
1. Kortuem, G., Kawsar, F., Sundramoorthy, V., Fitton, D., “Smart objects as building blocks for the internet of things”. IEEE Internet Comput., 14, 1, 44–51, Jan–Feb. 2010.
2. Zanella, A., Bui, N., Castellani, A., Vangelista, L., Zorzi, M., “Internet of things for smart cities”. IEEE Internet Things J., 1, 1, 22–32, Feb. 2014.
3. Kamilaris, A. and Pitsillides, A., “Mobile phone computing and internet of things: A survey“. IEEE Internet Things J., 3, 6, 885–898, Dec. 2016.
4. Laplante, P.A. and Laplante, N., “The internet of things in healthcare: Potential applications and challenges“. IT Prof., 18, 3, 2–4, May-June 2016.
5. Laplante, P.A. and Laplante, N., “A structured approach for describing healthcare applications for the internet of things“. 2015 IEEE 2nd World Forum on internet of things (WF -IOT), Milan, pp. 621–625, 2015.
6. Niranjana, S. and Balamurugan, A., “Intelligent E-Health Gateway Based Ubiquitous Healthcare Systems in Internet of Things“. Int. J. Sci. Eng. Appl. Sci. (IJSEAS), 1, 9, December 2015.
7. Ullah, K., Shah, M.A., Zhang, S., “Effective ways to use Internet of Things in the field of medical and smart healthcare“. 2016 International Conference on Intelligent systems Engineering (ICISE), 2016.
8. Catarinucci, L. et al., “An IOT- aware Architecture for smart healthcare systems.“. IEEE Internet Things J., 2, 6, 515–526, Dec. 2015.
9. Dohr, A., Modre-opsrian, R., Drobies, M., Hayn, D., Schreier, G., “The internet of things for Ambient Assisted Living“. 2010 seventh International Conference on Information Technology: New Generation, Las vegas, NV, pp. 804–809, 2010.
10. Corno, F., De Rubbis, L., Rofarello, A.M., “A Healthcare support system for assisted Living facilities: An IOT solution“, in: Proceedings of 2016 IEEE 40th Annual Computer Software and Applications Conference (COMPSAC), Atlanta, GA, pp. 344–352, 2016.
11. Ali, N.A. and Abu-Elkheir, M., “Internet of nano-things healthcare applications: Requirements, opportunities and challenges“. 2015 IEEE 11th International conference on wireless and mobile computing, Networking and Communications (WiMob), Abu Dhabi, pp. 9–14, 2015.
12. Ma, Y., Wang, Y., Yang, J., Miao, Y., Li, W., “Big Health Application system based on health internet of things and Big data“. IEEE Access, 99, 1–1, 2017.
13. https://ieeexplore.ieee.org/abstract/document/7207365
14. Evans, D., The Internet of Things.How the Next Evolution of the Internet Is Changing Everything, Cisco, USA, April 2011.
15. Kortuem, G., Kawsar, F., Fitton, D., Sundramoorthy, V., “Smart objects as building blocks for the internet of things“. Internet Comput., 14, 44–51, 2010.
16. Simonov, M., Zich, R., Mazzitelli, F., Personalised Healthcare Communication in Internet of Things, In Proc. of URSI GA08, 2008.
17. Niewolny, D., How the Internet of Things Is Revolutionizing Healthcare, Freescale Semiconductors, USA, 18 Oct 2013.
18. Vermesan, O. and Friess, P., “Internet of Things Strategic Research and Innovation Agenda”, in: Internet of Things- Converging technologies for smart environment and Integrated Ecosystems, p. 54, River Publishers, Denmark, 2013.
19. Pang, Z., “Technologies and Architectures of the Internet-of-Things (IoT) for Health and Well-being”, in: Doctoral Thesis, KTH Royal Institute of Technology Stockholm, Sweden, January 2013.
20. Christin, D. et al., “Wireless sensor networks and the internet of things: selected challenges”. Proceedings of the 8th GI/ITG KuVSFachgesprächDrahtlosesensornetze, pp. 31–34, 2009.
21. Chen, M. et al., “EMC: Emotion-aware mobile cloud computing in 5G”. IEEE Netw., 29, 2, 32–38, 2015.
22. Chen, M. et al., “AIWAC: Affective interaction through wearable computing and cloud technology”. IEEE Wirel. Commun., 22, 1, 20–27, 2015.
23. Chen, M., “NDNC-BAN: Supporting Rich Media Healthcare Services via Named Data Networking in Cloud-assisted Wireless Body Area Networks”. Inf. Sci., 284, 10, 142–156, Nov. 2014.
24. Chen, M. et al., “A survey of recent developments in home M2M networks”. IEEE Commun. Surv. Tut., 16, 1, 98–114, 2013.
25. Niewolny, D., “How the Internet of Things Is Revolutionizing Healthcare”, White paper, Available: cache.freescale.com/files/corporate/doc/../IOTREV HEALCARWP.pdf, Accessed 31st July, Freescale semiconductor, US, 2013.
26. Pandeya, S., Voorsluys, W., Niua, S., Khandoker, A., Buyyaa, R., “An autonomic cloud environment for hosting ECG Ecosystem analysis in the design of open platform-based in-home healthcare terminals towards the Internet-of-Things data analysis services”. Future Gener. Comp. Sy., 28, 147–154, 2012.
27. Jin, J., Gubbi, J., Marusic, S., Palaniswami, M., “An information framework for creating a smart city through Internet of Things”. IEEE Internet Things J., 1, 1l2–12l, 2014.
28.