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

Author(s):  
P. P. Joby

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.

2020 ◽  
Vol 17 (9) ◽  
pp. 4207-4212
Author(s):  
Padala Neeraja ◽  
Durgesh Nandan

The internet of things is nothing but the interconnection of a number of systems or objects in which the internal circuit consists of a number of sensors and connectors. The main aim of the internet of things is to transfer information and to make an interaction between the systems. Through IoT, all the systems can be sensed and all the home appliances will be controlled remotely through a mobile device. It creates an integration of more and more networks in the future. The IoT is a very important emerging technology nowadays in which the main applications of IoT are smart grids, smart homes, etc. As the number of devices was increasing nowadays IoT plays a very significant role in present society. So, the challenges were increasing and there will be a machine to machine communication and also with the user. It reduces human efforts as it is machine-dependent. It acts according to the instructions given by the user.


Constrained devices are commonly used in the Internet of Things systems. Since these devices have limited communication and computation resources, communication protocols which are lightweight are needed. A lightweight protocol called Message Queue Telemetry Transport, which is a publish/subscribe messaging protocol, is utilized with the constrained devices. Hence, this paper is aimed at monitoring data by using machine-to-machine communication protocol with the help of an IoT device, Raspberry Pi.


Author(s):  
Elaine Cubillas Hernández ◽  
Caridad Anías Calderón ◽  
Tatiana Delgado Fernández

In the Institute of Tropical Geography (IGT), and in the rest of the centers that develop the Environmental Information System of the country, environmental measurements are not obtained in real-time. This is because the technology used to communicate this information, from the sensors that capture it to the center where it is processed, is obsolete. The objective of this work is to provide a solution to the problems raised above using Machine to Machine communication (M2M), as part of the Internet of Things (IoT) technology. To achieve the above, the M2M architecture defined by the European Telecommunications Standards Institute was revised and, based on it, the one that should be used to obtain environmental data in real-time was specified. Then, a geographical area with special characteristics was selected, located in a difficult-to-access pre-mountain zone on the outskirts of the Consolación del Sur municipality, in the Pinar del Río province of Cuba, where environmental factors of interest for the country are currently monitored using archaic methods. In the M2M area of this scenario, several alternatives were analyzed to obtain the data, which allowed selecting the most appropriate one, which is the one explained in this work


2019 ◽  
Vol 15 (5) ◽  
pp. 155014771985197 ◽  
Author(s):  
Sabeen Tahir ◽  
Sheikh Tahir Bakhsh ◽  
Maysoon Abulkhair ◽  
Madini O Alassafi

In order to increase the reliability, accuracy, and efficiency in the eHealth, Internet of Medical Things is playing a vital role. Current development in telemedicine and the Internet of Things have delivered efficient and low-cost medical devices. The Internet of Medical Things architectures being developed do not completely recognize the potential of Internet of Things. The Internet of Medical Things sensor devices have limited computation power; in case if a patient is using implanted medical devices, it is not easy to recharge or replace the devices immediately. Biosensors are small devices with limited energy if these devices do not wisely utilize the energy may drain sharply and devices become inactive. The current medical solutions place the bulk of data on cloud-based systems that ultimately creates a bottleneck. In this article, an energy-efficient fog-to-cloud Internet of Medical Things architecture is proposed to optimize energy consumption. In the proposed architecture, Bluetooth enabled biosensors are used, because Bluetooth technology is an energy efficient and also helps to enable the sleep and awake modes. The proposed fog-to-cloud Internet of Medical Things works in three different modes periodic, sleep–awake, and continue to optimize the energy consumption. The proposed technique enabled the sensing modes that gathers the patients’ data efficiently based on their health conditions. The sensed data are transmitted to the relevant fog and cloud devices for further processing. The performance of fog-to-cloud Internet of Medical Things is evaluated through simulation; the results are compared with the results of existing techniques in terms of an end-to-end delay, throughput, and energy consumption. It is analyzed that the proposed technique reduces the energy consumption between 30% and 40%.


From Bluetooth enabled hearing aids to robotic caretakers, wearable and smart devices industries are immensely contributing to the development of the healthcare industry with the help of Internet of Things (IoT). Latest technologies like Artificial Intelligence, 3D Printing, Big data, Machine Learning, Advanced Sensors, Mobile Applications and other technologies will continue to generate lot of opportunities for Medtech organizations. Some of the latest healthcare innovations practiced at present might have been seen or read by some of us only in science fiction movies or science fiction stories a long ago. Presently, IoT and Artificial Intelligence is creating a revolution in healthcare industry when it comes to diagnosis and treatment of varied diseases. From smartphones to robots, artificial intelligence is already making its presence felt in healthcare industry and as such it is progressively recognizing the transformative nature of IoT technologies which drives innovation in the development of connected medical devices. Gradual increase in the number of connected medical devices with the advent of technology advancements helps to capture and transmit medical related data wherever and whenever required to the concerned people and thus, it gave birth to the Internet of Medical Things (IoMT), where the Internet of Things (IoT) and healthcare meet. The IoMT helps to constantly monitor and alter (if required) the behvaiour of the patient and his/her health status in real time and also supports healthcare organizations to effectively streamline clinical processes, patient information and related work flows to enhance its operational productivity. The IoMT has made and continues to make the delivery of P4 Medicine (Predictive, Preventive, Personalized and Participatory) even for remote locations with the help of connected sensors and devices helping in real-time patient care. IoMT helps doctors and caregivers to provide patient care and support by constantly monitoring data related to patients through mobile apps and connected medical devices even when patient(s) or doctor(s) are located at remote locations. This research paper discusses about six use cases explaining how IoMT is applied in healthcare industry.


Author(s):  
O. S. Galinina ◽  
S. D. Andreev ◽  
A. M. Tyurlikov

Introduction: Machine-to-machine communication assumes data transmission from various wireless devices and attracts attention of cellular operators. In this regard, it is crucial to recognize and control overload situations when a large number of such devices access the network over a short time interval.Purpose:Analysis of the radio network overload at the initial network entry stage in a machine-to-machine communication system.Results: A system is considered that features multiple smart meters, which may report alarms and autonomously collect energy consumption information. An analytical approach is proposed to study the operation of a large number of devices in such a system as well as model the settings of the random-access protocol in a cellular network and overload control mechanisms with respect to the access success probability, network access latency, and device power consumption. A comparison between the obtained analytical results and simulation data is also offered. 


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