Nowadays, most of the cyber-attacks are initiated by extremely malicious programs known as Malware. Malwares are very vigorous and can penetrate the security of information and communication systems. While there are different techniques available for malware analysis, it becomes challenging to select the most effective approach. In this context, the decision-making process may be an efficient means of empirically assessing the impact of different methods for securing the web applications. In this research study, we have used a methodology that includes the integration of Fuzzy AHP and Fuzzy TOPSIS technique for evaluating the impact of different malware analysis techniques in web application perspective. This study uses different versions of a university’s web application for evaluating the impact of several existing malware analysis techniques. The findings of the study show that the Reverse Engineering approach is the most efficient technique for analyzing complex malware. The outcome of this study would definitely aid the future researchers and developers in selecting the appropriate techniques for scanning the web application code and enhancing the security.

The contributions of the Internet of Medical Things (IoMT), cloud services, information systems, and smart devices are useful for the healthcare industry. With the help of digital healthcare, our lives have been made much more secure and effortless and provide more convenient and accessible treatment. In current, the modern healthcare sector has become more significant and convenient for the purpose of both external and internal threats. Big data breaches affect clients, stakeholders, organisations, and businesses, and they are a source of concern and complication for security professionals. This research examines the many types and categories of big data breaches that companies face. In addition, the study's main purpose is to investigate and draw conclusions from healthcare big data breaches, with the goal of improving healthcare big data confidentiality. From the beginning of 2020-21, both years, practically our entire world moved online due to the COVID-19 pandemic. The coronavirus pandemic dramatically increased the extent of use of technology. Hacking/IT incidents, followed by unauthorised internal disclosures, are the most typical attacks behind healthcare data breaches, according to the report. This has become a main enticement for healthcare data theft and misuse. The number of healthcare big data breaches, the number of records exposed, and the resulting significant commercial losses are increasing. In the report, they analyze and investigate the number of healthcare big data breaches, the number of records exposed during the COVID-19 pandemic. Also, the study assesses the correctness of the datasets in order to achieve a dynamic digital healthcare data breaches environment using fuzzy based computational technique.

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Software or web application security is the main objective in the era of Information Technology (IT) and Artificial Intelligence (AI). Distinguishing proof of security at the initial stage produces significant results to comprehend the administration of security relics for best potential outcomes. A security alternative gives several methods and algorithms to ensure the software security. Security estimation is the vital factor in assessing, administrating, controlling security to improve the nature of security. It is to be realized that assessment of security at early stage of development helps in identifying distinctive worms, dangers, weaknesses and threats. This paper will talk about the definition and characterization of quantum computing in software security. For software security, we use different cryptography (methods or algorithms to secure our financial organizations, medical devices, military weapons, planes, ships, automobiles, navigators, etc. However, many cryptosystems are likely to collapse when the large quantum computer is developed. Recently, Google developed the Sycamore Processor 53 qubits. Such innovations indicate the advent of large quantum computer in future. Since cryptographic algorithm can be solved by the quantum computers, the present cryptosystem would be rendered obsolete. Hence, it is imperative to focus more on intensive research in the context of the present quantum cyber security. The main challenges in quantum era would be cryptography methods that fulfill the demands of security usability and flexibility without sacrificing the users' confidence. This research study, in particular, focuses on 'Software durability' which is a quality of security that alludes to the capacity to execution of an item on schedule. In the context of software and web application, a thorough assessment of security factors will significantly influence the software's durability in the era of quantum computing.

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Abstract-In the fast growing information era utility of technology are more precise than completing the assignment manually. The digital information technology creates a knowledge-based society with high-tech global economy which spreads over and influence the corporate and service sector to operate in more efficient and convenient way. Here an attempt was made on Extract Technology based on research. In this technology data could be refined and sourced with certainty and relevance. The application of artificial intelligence matched with the theories of machine learning would prove to be very effective. Sometime summarization of paragraph required rather than page or pages. So, Auto Summarization Model is an agnostic content summarization technology that automatically parses news, information, documents and many more into relevant and contextually accurate abbreviated summaries. This is a concept to convert a whole paragraph into one third. The Auto summarization technology reads a document, much better way than manually prepared, where, keywords and key phrases accurately weighted as they are found in the document, text or web page.