The Internet of Things adoption in healthcare applications

2018 International Conference on Computing, Electronics &Amp; Communications Engineering (iCCECE)

et al. 2018

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Internet of Things (IoT) is one of the emerging technologies of this century and its various aspects, such as the Infrastructure, Security, Architecture and Privacy, play an important role in shaping the future of the digitalised world. Internet of Things devices are connected through sensors which have significant impacts on the data and its security. In this research, we used IoT five layered architecture of the Internet of Things to address the security and private issues of IoT enabled services and applications. Furthermore, a detailed survey on Internet of Things infrastructure, architecture, security, and privacy of the heterogeneous objects were presented. The paper identifies the major challenge in the field of IoT; one of them is to secure the data while accessing the objects through sensing machines. This research advocates the importance of securing the IoT ecosystem at each layer resulting in an enhanced overall security of the connected devices as well as the data generated. Thus, this paper put forwards a security model to be utilised by the researchers, manufacturers and developers of IoT devices, applications and services.

Section: Internet Of Things Security and Privacymentioning

confidence: 99%

Section: Internet Of Things Architecturementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Internet of Things: Infrastructure, Architecture, Security and Privacy

2018 International Conference on Computing, Electronics &Amp; Communications Engineering (iCCECE)

et al. 2018

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“…These data are generated and processed in a multi-stage model and ultimately reached a decision-making stage. These steps are data production, data collection, data integration, data categorization, data processing and decision making [16].…”

Section: Benefits Of Iot Based On Big Datamentioning

confidence: 99%

Challenges of Internet of Things and Big Data Integration

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

et al. 2018

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The Internet of Things anticipates the conjunction of physical gadgets to the Internet and their access to wireless sensor data which makes it expedient to restrain the physical world. Big Data convergence has put multifarious new opportunities ahead of business ventures to get into a new market or enhance their operations in the current market. considering the existing techniques and technologies, it is probably safe to say that the best solution is to use big data tools to provide an analytical solution to the Internet of Things. Based on the current technology deployment and adoption trends, it is envisioned that the Internet of Things is the technology of the future; while to-day's real-world devices can provide real and valuable analytics, and people in the real world use many IoT devices. Despite all the advertisements that companies offer in connection with the Internet of Things, you as a liable consumer, have the right to be suspicious about IoT advertisements. The primary question is: What is the promise of the Internet of things concerning reality and what are the prospects for the future.

“…Today, the technology and knowledge of genetic engineering and molecular biotechnology seem almost unlimited [13]. In recent years, development of tools for DNA sequencing provided recombinant revolutions in the treatment of many human diseases including all kind of cancers and most of the autoimmune diseases such as diabetes and the detection, prevention and treatment of many congenital diseases [14].…”

Section: Literature Reviewmentioning

confidence: 99%

Evaluation of IoT-Based Computational Intelligence Tools for DNA Sequence Analysis in Bioinformatics

Advances in Intelligent Systems and Computing

et al. 2018

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In contemporary age, Computational Intelligence (CI) performs an essential role in the interpretation of big biological data considering that it could provide all of the molecular biology and DNA sequencing computations. For this purpose, many researchers have attempted to implement different tools in this field and have competed aggressively. Hence, determining the best of them among the enormous number of available tools is not an easy task, selecting the one which accomplishes big data in the concise time and with no error can significantly improve the scientist's contribution in the bioinformatics field. This study uses different analysis and methods such as Fuzzy, Dempster-Shafer, Murphy and Entropy Shannon to provide the most significant and reliable evaluation of IoT-based computational intelligence tools for DNA sequence analysis. The outcomes of this study can be advantageous to the bioinformatics community, researchers and experts in big biological data.