Masood Ahmad¹, Jehad F. Al-Amri², Ahmad F. Subahi³, Sabita Khatri², Adil Hussain Seh¹, Mohd Nadeem¹, Alka Agrawal^1,*

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

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 was the most probable alternative… More >

Wajdi Alhakami¹, Abdullah Baz², Hosam Alhakami³, Masood Ahmad⁴, Raees Ahmad Khan^4,*

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

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 a thorough research on the… More >