Cyber-Security and Social Media Risks Assessment by Using the Novel Concepts of Complex Cubic T-Spherical Fuzzy Information

Author:

Akram Bushra1,Jan Naeem1,Nasir Abdul1ORCID,Alabrah Amerah2ORCID,Alhilal Mohsin S.2,Al-Aidroos Naziha3ORCID

Affiliation:

1. Department of Mathematics, Institute of Numerical Science, Gomal University, Dera Ismail Khan 29050, KPK, Pakistan

2. STC’s Artificial Intelligence Chair, Department of Information Systems, College of Computer and Information Sciences, King Saud University, Riyadh 11543, Saudi Arabia

3. Department of Computer Science, College of Computers and Information Technology, Hadhramout University, Al Mukalla, Hadhramout, Yemen

Abstract

Over the past 20 years, the emergence of social media and its developments have rapidly changed communication and information technology. Social media plays a necessary part in accessing information and communication. In spite of its many advantages, users have also been facing many threats on social media platforms. This research aims to analyze and resolve these threats by using the new concepts of complex cubic T spherical fuzzy sets (CCuTSFS) that have a broad structure including degrees of membership, neutral-membership, and non-membership. It does a better job of modeling uncertainty than any other preexisting structure. Furthermore, we defined the concepts of the Cartesian product (CP) between CCuTSFSs, complex cubic T spherical fuzzy relation (CCuTSFR) and the types of CCuTSFRs with appropriate examples. This study looked at the relationship between different types of security and threats on social media for the first time in fuzzy set theory. The proposed methods demonstrate how to control the effects of threats by using valid security methods. Finally, the benefits of the presented strategies are explained in the comparative study.

Funder

King Saud University

Publisher

Hindawi Limited

Subject

Computer Science Applications,Software

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