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  • Open Access

    ARTICLE

    Analysis of the Desynchronization Attack Impact on the E2EA Scheme

    Shadi Nashwan*

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 625-644, 2022, DOI:10.32604/csse.2022.020799 - 25 October 2021

    Abstract The healthcare IoT system is considered to be a significant and modern medical system. There is broad consensus that these systems will play a vital role in the achievement of economic growth in numerous growth countries. Among the major challenges preventing the fast and widespread adoption of such systems is the failure to maintain the data privacy of patients and the integrity of remote clinical diagnostics. Recently, the author proposed an end-to-end authentication scheme for healthcare IoT systems (E2EA), to provide a mutual authentication with a high data rate between the communication nodes of the… More >

  • Open Access

    ARTICLE

    Healthcare Device Security Assessment through Computational Methodology

    Masood Ahmad1, Jehad F. Al-Amri2, Ahmad F. Subahi3, Sabita Khatri2, Adil Hussain Seh1, Mohd Nadeem1, Alka Agrawal1,*

    Computer Systems Science and Engineering, Vol.41, No.2, pp. 811-828, 2022, DOI:10.32604/csse.2022.020097 - 25 October 2021

    Abstract The current study discusses the different methods used to secure healthcare devices and proposes a quantitative framework to list them in order of significances. The study uses the Hesitant Fuzzy (HF), Analytic Hierarchy Process (AHP) integrated with Fuzzy Technical for Order Preference by Similarities to Ideal Solution (TOPSIS) to classify the best alternatives to security techniques for healthcare devices to securing the devices. The technique is enlisted to rate the alternatives based on the degree of satisfaction of their weights. The ranks of the alternatives consequently decide the order of priority for the techniques. A1… More >

  • Open Access

    ARTICLE

    Disease Diagnosis System Using IoT Empowered with Fuzzy Inference System

    Talha Mahboob Alam1,*, Kamran Shaukat2,6, Adel Khelifi3, Wasim Ahmad Khan4, Hafiz Muhammad Ehtisham Raza5, Muhammad Idrees6, Suhuai Luo2, Ibrahim A. Hameed7

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 5305-5319, 2022, DOI:10.32604/cmc.2022.020344 - 11 October 2021

    Abstract Disease diagnosis is a challenging task due to a large number of associated factors. Uncertainty in the diagnosis process arises from inaccuracy in patient attributes, missing data, and limitation in the medical expert's ability to define cause and effect relationships when there are multiple interrelated variables. This paper aims to demonstrate an integrated view of deploying smart disease diagnosis using the Internet of Things (IoT) empowered by the fuzzy inference system (FIS) to diagnose various diseases. The Fuzzy System is one of the best systems to diagnose medical conditions because every disease diagnosis involves many… More >

  • Open Access

    ARTICLE

    Optimal Confidential Mechanisms in Smart City Healthcare

    R. Gopi1,*, P. Muthusamy2, P. Suresh3, C. G. Gabriel Santhosh Kumar4, Irina V. Pustokhina5, Denis A. Pustokhin6, K. Shankar7

    CMC-Computers, Materials & Continua, Vol.70, No.3, pp. 4883-4896, 2022, DOI:10.32604/cmc.2022.019442 - 11 October 2021

    Abstract Smart City Healthcare (SHC2) system is applied in monitoring the patient at home while it is also expected to react to their needs in a timely manner. The system also concedes the freedom of a patient. IoT is a part of this system and it helps in providing care to the patients. IoT-based healthcare devices are trustworthy since it almost certainly recognizes the potential intensifications at very early stage and alerts the patients and medical experts to such an extent that they are provided with immediate care. Existing methodologies exhibit few shortcomings in terms of computational… More >

  • Open Access

    ARTICLE

    Classification Framework for COVID-19 Diagnosis Based on Deep CNN Models

    Walid El-Shafai1, Abeer D. Algarni2,*, Ghada M. El Banby3, Fathi E. Abd El-Samie1,2, Naglaa F. Soliman2,4

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1561-1575, 2022, DOI:10.32604/iasc.2022.020386 - 09 October 2021

    Abstract Automated diagnosis based on medical images is a very promising trend in modern healthcare services. For the task of automated diagnosis, there should be flexibility to deal with an enormous amount of data represented in the form of medical images. In addition, efficient algorithms that could be adapted according to the nature of images should be used. The importance of automated medical diagnosis has been maximized with the evolution of COVID-19 pandemic. COVID-19 first appeared in China, Wuhan, and then it has exploded in the whole world with a very bad impact on our daily… More >

  • Open Access

    ARTICLE

    Developing Secure Healthcare Video Consultations for Corona Virus (COVID-19) Pandemic

    Mohammed A. AlZain1,*, Jehad F. Al-Amri1, Ahmed I. Sallam2, Emad Sami Jaha3, Sultan S. Alshamrani1, Hala S. El-Sayed4, Osama S. Faragallah1

    Intelligent Automation & Soft Computing, Vol.31, No.3, pp. 1627-1640, 2022, DOI:10.32604/iasc.2022.020137 - 09 October 2021

    Abstract Many health networks became increasingly interactive in implementing a consulting approach to telemedicine before the COVID-19 pandemic. To mitigate patient trafficking and reduce the virus exposure in health centers, several GPs, physicians and people in the video were consulted during the pandemic at the start. Video and smartphone consultations will allow well-insulated and high-risk medical practitioners to maintain their patient care security. Video appointments include diabetes, obesity, hypertension, stroke, mental health, chemotherapy and chronic pain. Many urgent diseases, including an emergency triage for the eye, may also be used for online consultations and triages. The… More >

  • Open Access

    ARTICLE

    RFID Positioning and Physiological Signals for Remote Medical Care

    Wen-Tsai Sung1, Sung-Jung Hsiao2,*

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 289-304, 2022, DOI:10.32604/csse.2022.020453 - 08 October 2021

    Abstract The safety of patients and the quality of medical care provided to them are vital for their wellbeing. This study establishes a set of RFID (Radio Frequency Identification)-based systems of patient care based on physiological signals in the pursuit of a remote medical care system. The RFID-based positioning system allows medical staff to continuously observe the patient's health and location. The staff can thus respond to medical emergencies in time and appropriately care for the patient. When the COVID-19 pandemic broke out, the proposed system was used to provide timely information on the location and… More >

  • Open Access

    ARTICLE

    A Secure IoT-Cloud Based Healthcare System for Disease Classification Using Neural Network

    M. Vedaraj*, P. Ezhumalai

    Computer Systems Science and Engineering, Vol.41, No.1, pp. 95-108, 2022, DOI:10.32604/csse.2022.019976 - 08 October 2021

    Abstract The integration of the Internet of Things (IoT) and cloud computing is the most popular growing technology in the IT world. IoT integrated cloud computing technology can be used in smart cities, health care, smart homes, environmental monitoring, etc. In recent days, IoT integrated cloud can be used in the health care system for remote patient care, emergency care, disease prediction, pharmacy management, etc. but, still, security of patient data and disease prediction accuracy is a major concern. Numerous machine learning approaches were used for effective early disease prediction. However, machine learning takes more time… More >

  • Open Access

    ARTICLE

    An IoT Based Secure Patient Health Monitoring System

    Kusum Yadav1, Ali Alharbi1, Anurag Jain2,*, Rabie A. Ramadan1

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 3637-3652, 2022, DOI:10.32604/cmc.2022.020614 - 27 September 2021

    Abstract Internet of things (IoT) field has emerged due to the rapid growth of artificial intelligence and communication technologies. The use of IoT technology in modern healthcare environments is convenient for doctors and patients as it can be used in real-time monitoring of patients, proper administration of patient information, and healthcare management. However, the usage of IoT in the healthcare domain will become a nightmare if patient information is not securely maintained while transferring over an insecure network or storing at the administrator end. In this manuscript, the authors have developed a secure IoT healthcare monitoring system… More >

  • Open Access

    ARTICLE

    Integrating Blockchain Technology into Healthcare Through an Intelligent Computing Technique

    Asif Irshad Khan1,*, Abdullah Saad Al-Malaise ALGhamdi2, Fawaz Jaber Alsolami1, Yoosef B. Abushark1, Abdulmohsen Almalawi1, Abdullah Marish Ali1, Alka Agrawal3, Rajeev Kumar4, Raees Ahmad Khan3

    CMC-Computers, Materials & Continua, Vol.70, No.2, pp. 2835-2860, 2022, DOI:10.32604/cmc.2022.020342 - 27 September 2021

    Abstract The blockchain technology plays a significant role in the present era of information technology. In the last few years, this technology has been used effectively in several domains. It has already made significant differences in human life, as well as is intended to have noticeable impact in many other domains in the forthcoming years. The rapid growth in blockchain technology has created numerous new possibilities for use, especially for healthcare applications. The digital healthcare services require highly effective security methodologies that can integrate data security with the available management strategies. To test and understand this… More >

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