Abstract
Cyber security is a basic need for every digital device such as computers, mobiles, networks, servers and electronic items. It protects digital devices from various malicious cyber-attacks or threats created over the Internet. In the digitized world, cyber security threats have been an emerging problem. In the current scenario the growth of digital devices is very high, and the risks of cyber security technologies (CST) are serious issues. These types of threats should be considered when choosing the best among cyber security technologies. For this purpose, we approach mathematically to determine the safest CST. In this paper, first we study CST and their risk factors. Then, Fermatean fuzzy sets (FFSs) are used to develop Fermatean fuzzy multi attribute border approximation area comparison (FF-MABAC) method. This method handles more uncertain decision-making problems by computing distance between each alternative and bordered approximation area (BAA). At the end of the paper, an application has been given to CST and their computing approaches are demonstrated numerically. Finally, a sensitivity analysis of results is conducted and direction for future research is provided.
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Aldring, J., Ajay, D. (2022). MABAC Method for Assessment of Cyber Security Technologies Under Fermatean Fuzzy Sets. In: Bhateja, V., Tang, J., Satapathy, S.C., Peer, P., Das, R. (eds) Evolution in Computational Intelligence. Smart Innovation, Systems and Technologies, vol 267. Springer, Singapore. https://doi.org/10.1007/978-981-16-6616-2_43
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DOI: https://doi.org/10.1007/978-981-16-6616-2_43
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