The majority of medical equipment in use today does not have built-in security features. As a result, whether linked to a hospital system or the cloud, these devices’ built-in weaknesses make them vulnerable to a variety of cyberattacks. In hospitals and clinics, hackers can breach equipment, manipulate data, and disrupt facilities, putting patients’ health as well as their lives in jeopardy. A professional can manage cybersecurity threats by lowering the attack surface of the system. Security analysis, whether as a means to detect possible vulnerabilities that can be exploited by attackers or as a means to prevent cyberattacks, plays an important role in risk mitigation. In addition, throughout the pre-market and post-market phases, security checks are required. This study presents a paradigm for incorporating security check concepts into medical device design and development and healthcare big data security. The security of devices and healthcare data is tested by the integrated fuzzy AHP-TOPSIS method. After the security check of devices, with the parameters security-checked for data, the algorithm is designed and implemented. As a result, the appropriate customized security controls are prompted in order to impede the attack.

In the age of computing, there is a vast assortment of medical equipment and software available. Software and medical equipment that can be online connected to healthcare Information Technology (IT) systems are referred to as Internet of Medical Things (IoMT). This research study elaborates healthcare connectivity and its security issues to the different dimension of IoMT. During the pandemic situation in 2020-21 Covid, importance of virtualization and its dependencies have got the momentum. The security challenge of IoMT needs to be addressed. The research analysis is evaluating the impact of security factors in IoMT. By systematically evaluating research studies based on the keywords IoMT, security of IoMT, and security in healthcare sector, security attributes and factors were discovered from the different digital library. This evaluation uses soft computing and Artificial Intelligence (AI) techniques, quantitatively elaborates the factors of IoMT and their impact based on security. The results provide guidance for the development of IoMT with security attributes that can help to ensure the security of the device and software based applications on networks or in the cloud. To assess the importance of the criteria and the ranking of the alternatives, the AI technique of Analytic Hierarchy Process (AHP) and Technique for Order of Preferences by Similarity to Ideal Solution (TOPSIS) were applied. The hybrid Fuzzy AHP, Fuzzy TOPSIS techniques are utilizing the concept of decision making in security of IoMT. The items were evaluated using a multi rules choice investigation with several standards. In this research study, eight factors and ten alternatives of IoMT were selected to determine their impact on security. The creating new funding, operating and business model factor of IoMT got the top weight and successfully navigating regulatory change got the least. The AI research on IoMT security determination helps the developer, medical practitioner, and medical device operator to consider the impact of security in IoMT.

The development of quantum computers seeks software developers' attention regarding security in the era of Information Technology, software security is the primary goal for our quantitative assessment of software security in the development cycle of software. Security assessment of software is identifying the key security factors of the software. A security elective provides ex-tensive strategies and calculations to ensure product safety. The security assessment is the key factor in surveying, administering, and controlling security to further enhance the nature of safety. It should be acknowledged that assessing security early on in the development process is beneficial in identifying worms, hazards, flaws, and threats. The definition and portrayal of Quantum Computing (QC) in software security will be discussed in this study. Researchers use cryptography calculations to secure our financial institutions, medical devices, military weaponry, planes, ships, vehicles, and pilots. Here authors of this study use the Fuzzy Technique for Order Preference by Similarity to Ideal Situation (FTOPSIS) to quantitatively assess the weight/rank of the quantum enable security alternatives like (Diffie-Hellman key-exchange algorithm, Quantum key distribution algorithm, Deutsch-Jozsa Algorithm, Special Deutsch-Jozsa Algorithm, Grover’s Algorithm and Quantum key distribution algorithm in GHZ state) with security factors like (Confidentiality, Integrity, Authenti-cation, Privacy, Reliability, Maintainability, Authorization, Integrity, Possessions, and Availability). Additionally, they critically analyze and select the six alternatives of quantum-based security algorithms. The nature of safety infers the ability to execute a thing on time in this exploration study, specifically 'software security'.