EWPS: Emergency data communication in the Internet of Medical Things

2021 ◽  
pp. 1-1
Author(s):  
S. Gopikrishnan ◽  
P. Priakanth ◽  
Gautam Srivastava ◽  
Giancarlo Fortino
Keyword(s):  
Data Communication ◽  
The Internet ◽  
Internet Of Medical Things

scholarly journals Improving the Security and Confidentiality in the Internet of Medical Things Based on Edge Computing Using Clustering

2021 ◽  
Vol 2021 ◽  
pp. 1-10
Author(s):  
Anita Hatamian ◽  
Mohammad Bagher Tavakoli ◽  
Masoud Moradkhani
Keyword(s):  
Data Storage ◽  
Large Scale ◽  
Data Communication ◽  
User Interaction ◽  
Medical Data ◽  
Edge Computing ◽  
Remote Access ◽  
Physiological Data ◽  
The Internet ◽  
Internet Of Medical Things

Families, physicians, and hospital environments use remote patient monitoring (RPM) technologies to remotely monitor a patient’s vital signs, reduce visit time, reduce hospital costs, and improve the quality of care. The Internet of Medical Things (IoMT) is provided by applications that provide remote access to patient’s physiological data. The Internet of Medical Things (IoMT) tools basically have a user interface, biosensor, and Internet connectivity. Accordingly, it is possible to record, transfer, store, and process medical data in a short time by integrating IoMT with the data communication infrastructure in edge computing. (Edge computing is a distributed computing paradigm that brings computation and data storage closer to the sources of data. This is expected to improve response times and save bandwidth. A common misconception is that edge and IoT are synonymous.) But, this approach faces problems with security and intrusion into users’ medical data that are confidential. Accordingly, this study presents a secure solution in order to be used in the IoT infrastructure in edge computing. In the proposed method, first the clustering process is performed effectively using information about the characteristics and interests of users. Then, the people in each cluster evaluated by using edge computing and people with higher scores are considered as influential people in their cluster, and since users with high user interaction can publish information on a large scale, it can be concluded that, by increasing user interaction, information can be disseminated on a larger scale without any intrusion and thus in a safe way in the network. In the proposed method, the average of user interactions and user scores are used as a criterion for identifying influential people in each cluster. If there is a desired number of people who are considered to start disseminating information, it is possible to select people in each cluster with a higher degree of influence to start disseminating information. According to the research results, the accuracy has increased by 0.2 and more information is published in the proposed method than the previous methods.

Mutual Authentication Scheme for the Device-to-Server Communication in the Internet of Medical Things

2021 ◽  
pp. 1-1
Author(s):  
Jiangfeng Sun ◽  
Fazlullah Khan ◽  
Junxia Li ◽  
Mohammad Dahman Alshehri ◽  
Ryan Alturki ◽  
...  
Keyword(s):  
Mutual Authentication ◽  
Authentication Scheme ◽  
The Internet ◽  
Internet Of Medical Things

scholarly journals On the internet of medical things

2020 ◽  
Vol 63 (8) ◽  
pp. 5-5
Author(s):  
Vinton G. Cerf
Keyword(s):  
The Internet ◽  
Internet Of Medical Things

Deep Deterministic Learning for Pattern Recognition of Different Cardiac Diseases through the Internet of Medical Things

2018 ◽  
Vol 42 (12) ◽  
Author(s):  
Uzair Iqbal ◽  
Teh Ying Wah ◽  
Muhammad Habib ur Rehman ◽  
Ghulam Mujtaba ◽  
Muhammad Imran ◽  
...  
Keyword(s):  
Pattern Recognition ◽  
The Internet ◽  
Cardiac Diseases ◽  
Deterministic Learning ◽  
Internet Of Medical Things

scholarly journals COMPARATIVE ANALYSIS OF XML AND JSON USING PHP APPLICATION PLATFORM WITH REPRESENTATIONAL STATE TRANSFER ( REST ) ARCHITECTURAL

Compiler ◽  
2013 ◽  
Vol 2 (2) ◽  
Author(s):  
Saryanto Saryanto ◽  
Sumarsono Sumarsono ◽  
Nurcahyani Dewi Retnowati
Keyword(s):  
Comparative Analysis ◽  
Web Service ◽  
Measurement Method ◽  
Data Communication ◽  
The Internet ◽  
Time Data ◽  
Xml Data ◽  
Data Measurement ◽  
The Difference ◽  
The Web

Data communication in the internet today is so complex as an example of the speed factor becomes very important in communicating, everyone wants fast data communication services provided in order to maximum. In relation to the application as a communication liaison with client server applications, web service using a data serialization format to transmit the data. Before the data is sent, either fromthe client to the server or vice versa, should be modified in a specific data format beforehand according to the web service is used. Types of data serialization format used in the web service such as XML and JSON. The method used for testing include data serialization method, data measurement method and data parsing method. Data serialization method is used to calculate the time serialization of data from the database to the form of XML and JSON in applications with PHP platform. Data measurement method used to measure the size of the XML and JSON data which based on many fields of data serialization process. Data parsing method is used to calculate the processing time and JSON parsing XML data. Results o f comparative analysis o f XML and JSON in PHP applications using thearchitecture Rest can be concluded that the test result o f the difference in time and time serialization and JSON parsing XML data is influenced by the number o f records, if the number of records the greater the difference in eating time data serialization and parsing the data the greater the time also itcan be concluded that the faster the process JSON serialization and parsing XML data is compared. Testing results o f the JSON data size is smaller than the size of XML. Data exchange using XML format has a size limit of up to 31456.31 KB while JSON XML exceeds the size limit. Testing results on the Internet when the number o f records up to 50,000 data when the data serialization and parsing time data can not be detected in the database.

scholarly journals A Review on Data Securing Techniques using Internet of Medical Things

2021 ◽  
Vol 3 (3) ◽  
pp. 150-163
Author(s):  
P. P. Joby
Keyword(s):  
Older People ◽  
Basic Principle ◽  
Medical Devices ◽  
Data Security ◽  
Critical Factor ◽  
The Internet ◽  
Major Goal ◽  
Internet Of Medical Things ◽  
Machine To Machine Communication ◽  
Machine Communication

At present, the traditional healthcare system is completely replaced by the revolutionary technique, the Internet of Medical Things (IoMT). Internet of Medical Things is the IoT hub that comprises of medical devices and applications which are interconnected through online computer networks. The basic principle of IoMT is machine-to-machine communication that takes place online. The major goal of IoMT is to reduce frequent or unwanted visits to the hospitals which makes it comfortable and is also highly preferred by the older people. Another advantage of this methodology is that the interpreted or collected data is stored in cloud modules unlike amazon and Mhealth, making it accessible remotely. Although there are countless advantages in IoMT, the critical factor lies in data security or encryption. A surplus number of threat related to devices, connectivity, and cloud might occur under unforeseen or threatening circumstances which makes the person in the situation helpless. Yet, with the help of data security techniques designed especially for Internet of Medical Things, it is possible to address these challenges. In this paper, a review on data securing techniques for the internet of medical things is made along with a discussion on related concepts.

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