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  • 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

    Unified Computational Modelling for Healthcare Device Security Assessment

    Shakeel Ahmed*, Abdulaziz Alhumam

    Computer Systems Science and Engineering, Vol.37, No.1, pp. 1-18, 2021, DOI:10.32604/csse.2021.015775 - 05 February 2021

    Abstract This article evaluates the security techniques that are used to maintain the healthcare devices, and proposes a mathematical model to list these in the order of priority and preference. To accomplish the stated objective, the article uses the Fuzzy Analytic Network Process (ANP) integrated with Technical for Order Preference by Similarities to Ideal Solution (TOPSIS) to find the suitable alternatives of the security techniques for securing the healthcare devices from trespassing. The methodology is enlisted to rank the alternatives/ techniques based on their weights’ satisfaction degree. Thereafter, the ranks of the alternatives determine the order More >

  • Open Access

    ARTICLE

    Healthcare Device Security: Insights and Implications

    Wajdi Alhakami1, Abdullah Baz2, Hosam Alhakami3, Masood Ahmad4, Raees Ahmad Khan4,*

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 409-424, 2021, DOI:10.32604/iasc.2021.015351 - 18 January 2021

    Abstract Healthcare devices play an essential role in tracking and managing patient’s safety. However, the complexities of healthcare devices often remain ambiguous due to hardware, software, or the interoperable healthcare system problems. There are essentially two critical factors for targeting healthcare: First, healthcare data is the most valuable entity on the dark web; and the second, it is the easiest to hack. Data pilferage has become a major hazard for healthcare organizations as the hackers now demand ransom and threaten to disclose the sensitive data if not paid within the stipulated timeline. The present study enlists More >

  • Open Access

    ARTICLE

    Device Security Assessment of Internet of Healthcare Things

    Abdulaziz Attaallah1, Masood Ahmad2, Md Tarique Jamal Ansari2, Abhishek Kumar Pandey2, Rajeev Kumar2,3,*, Raees Ahmad Khan2

    Intelligent Automation & Soft Computing, Vol.27, No.2, pp. 593-603, 2021, DOI:10.32604/iasc.2021.015092 - 18 January 2021

    Abstract Security of the Internet of Healthcare Things (IoHT) devices plays a vital role in e-healthcare today and there has been a rapid increase in the use of networked devices of IoHT in the present healthcare services. However, these networked devices are also highly vulnerable to attackers who constantly target the security of devices and their components to gain access to the patients’ data. Infringement of patients’ data is not only a violation of privacy but can also jeopardize patients’ health if the health records are tampered with. Once the device has been intruded upon, attackers… More >

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