Cyber security challenges for software vendors through a fuzzy-TOPSIS approach

Cyber security has become a critical part of computer systems and recent technological developments have focused on making production and distribution processes more fluid and efficient. The introduction of Industry 4.0 and its significant impact on life and the economy highlights the importance of technological progress. However, modern technology faces several challenges. Cyber security is a major obstacle to software companies’ full adoption of automation and connectivity to transform production, logistics, and distribution. The proposed article is a systematic literature review to identify and document these difficulties systematically. The SLR identified 13 major cyber security threats, which are less than or equal to 25 percent. Through a questionnaire exercise, industry experts were consulted on the substance of the report. The identified cyber security challenges span a broad spectrum, encompassing issues like security issues/access of cyberattacks, lack of right knowledge, framework, lack of technical support, disaster issues, cost security issues, lack of confidentiality and trust, lack of management, unauthorized access issues, lack of resources, lack of metrics, administrative mistakes during development, and lack of quality, liability, and reliability. We prioritized and evaluated the severity of each cyber security problem using the Fuzzy-Technique for Order of Preference by Similarity to Ideal Solution (TOPSIS) technique to highlight the importance of our work further. Based on our recommended methodology, the most common issues were security issues and access to cyber-attacks, with a score of 0.768. Our work incorporates the cutting-edge Fuzzy-TOPSIS method, a powerful computational technique that has proven effective in handling fuzziness and ambiguity in many areas when applied to decision-making problems. The study should provide valuable information for software development companies facing cybersecurity threats. In addition, it provides vendors with tools to prioritize and assess risks associated with different security priorities. Considering all aspects, this work contributes significantly to the topic of cybersecurity and is a useful tool for companies trying to understand and address cybersecurity issues in developing software for fuzzy logic systems.