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1.
AIP Conference Proceedings ; 2603, 2023.
Article in English | Scopus | ID: covidwho-20231855

ABSTRACT

The present global situation of COVID-19 pandemic has broke through regional, revolutionary, philosophical, spiritual, social, and educational barriers. By utilizing an interconnection of network, an Internet of Things enabled medical system is useful for regular monitoring of COVID-19 patients. It also aids in improving patient experience and reducing re-hospitalizations. The arrival of the IoT has effect on reducing healthcare costs and enhancing the treatment outcome of affected patients. As a result, the goal of this study is to analyze and emphasize the overall applicability of the well-established IoT concept by providing a conceptual outlay to combat the COVID-19 pandemic. © 2023 Author(s).

2.
Lecture Notes in Computational Vision and Biomechanics ; 37:267-274, 2023.
Article in English | Scopus | ID: covidwho-2244108

ABSTRACT

A quick user-friendly application of any pandemic situation can reduce the huge value of mortality with producing the graph of cases. Simple database application can make sense to the people about the pandemic and transmissions. This research aimed to develop a simple application which shows the real-time cases of COVID-19 and analyzes different states condition of India and a proper graphical prediction of cases. This application notifies people to get alert about the transmission and precautions to get rid of this pandemic. This application also helps clinical doctors, ministry and decision makers to improve the gap of any unfilled section. We have used the platform of APEX Oracle to develop this application and analyzed the dataset. The accuracy of the data is 78% rather than any other existing techniques. Combining the application and advance techniques, this study can create a vital framework for the prediction of any pandemics. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

3.
An Interdisciplinary Approach in the Post-COVID-19 Pandemic Era ; : 145-182, 2022.
Article in English | Scopus | ID: covidwho-2093021

ABSTRACT

Environmental monitoring and impact assessment reports are created by compiling and analyzing data. Ensuring that an organization's operations do not harm human health or the natural environment is the primary goal of environmental monitoring. To conserve the earth, safeguard public health, and minimize expenses, environmental monitoring systems are becoming increasingly important. When discussing IoT-enabled environmental monitoring, waste management, air pollution, and extreme weather typically come up. Infectious illness is induced by a newly discovered coronavirus (COVID-19). A mild to severe respiratory sickness is the most common symptom of infection with COVID-19 and does not necessitate any special treatment for most patients. An increased risk of serious sickness is seen in the elderly, as well as individuals who have pre-existing medical conditions. COVID-19, the virus that causes and transmits the disease, can be prevented and slowed down by being educated about it. Using an alcohol-based hand sanitizer or washing your hands often is a good way to keep yourself and others safe from infection. Different people are affected by COVID-19 in various ways. A viral infection usually results in mild to moderate symptoms, and the majority of individuals will be able to heal at home without the need for medical attention. Sensors are used to monitor and record every aspect of the environment in their respective settings. The most commonly utilized sensors include proximity sensors, temperature sensors, smoke sensors, etc. With an ever-increasing population, increasing industrial activity, and rising energy consumption, it is imperative that the environmental monitoring process be made more accurate and efficient by using cuttingedge, automated monitoring applications and devices. It will be a useful tool for monitoring climate change. People, energy, goods, and information will move more efficiently as a result. In addition, it will continue to adapt as scientists and leaders come to new agreements on the actions, we must take to safeguard ourselves from rising temperatures and hazardous climate circumstances. © 2022 Nova Science Publishers, Inc..

4.
Lecture Notes in Computational Vision and Biomechanics ; 37:267-274, 2023.
Article in English | Scopus | ID: covidwho-1971590

ABSTRACT

A quick user-friendly application of any pandemic situation can reduce the huge value of mortality with producing the graph of cases. Simple database application can make sense to the people about the pandemic and transmissions. This research aimed to develop a simple application which shows the real-time cases of COVID-19 and analyzes different states condition of India and a proper graphical prediction of cases. This application notifies people to get alert about the transmission and precautions to get rid of this pandemic. This application also helps clinical doctors, ministry and decision makers to improve the gap of any unfilled section. We have used the platform of APEX Oracle to develop this application and analyzed the dataset. The accuracy of the data is 78% rather than any other existing techniques. Combining the application and advance techniques, this study can create a vital framework for the prediction of any pandemics. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

5.
International Journal of Advanced Computer Science and Applications ; 13(2):525-530, 2022.
Article in English | Web of Science | ID: covidwho-1865826

ABSTRACT

The recent outbreak of COVID-19 pandemic realized the importance of patient monitoring environments, Mobile Healthcare Applications (MHA) plays very crucial role the successful implementation of patient monitoring environments. Existing MHA's in the realm of patient monitoring environments are prone to repackaging attacks;not ensure security, application security and communication security. This paper proposes a secure and robust architecture for mobile healthcare applications in patient monitoring environments ensuring end to end security ensuring all the security properties by overcoming repackaging attacks which are very vital for success of mobile healthcare applications. We implemented our proposed protocol in Android Studio, Kotlin designed to interoperate fully with Java. ECDH Key exchange algorithm is used for key exchange between MHA in patient's smart phone and MHA in the hospital TPM. We created an EC key pairs (NIST P-256 aka secp256r1) at patient's MHA and MHA of hospital TPM by using ECDH and we created a shared AES secret key. AES with GCM mode used for encryption and decryption of patient data.

6.
Connection Science ; 2020.
Article in English | Scopus | ID: covidwho-965107

ABSTRACT

Existing schemes in the realm of mobile healthcare (also, e-Healthcare) based on cloud and IoMT (Internet of Medical Things) do not ensure end-to-end security and are not compliant with HIPAA (Health Insurance Portability and Accountability Act). It is also very difficult often for these schemes to obtain evidence from the cloud in case of security breaches. In addition to these issues, mobile healthcare applications are prone to various types of attacks and formal proof is often unavailable. In this work, we propose our community cloud framework in an IoMT setting that ensures end-to-end security and circumvents many of the existing negative aspects using the Trusted Platform Module (TPM). We provide necessary proofs using BAN logic and Scyther tool. Also, we show that the energy consumption and the costs of communication and computation for our proposed protocol are far less than that of the existing protocols. We have implemented our protocol using Kotlin language in Android Studio ensuring all the required security properties. © 2020 Informa UK Limited, trading as Taylor & Francis Group.

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