Mathematical Modeling for Exploring the Spread of Cyberattacks Through IoT Devices

The domain of cybersecurity has significant significance in the contemporary era characterized by widespread digitalization. The increasing occurrence of cyber dangers necessitates the modeling and analysis of cybersecurity assaults to formulate efficacious defense methods Kim et al. [1]. The use of mathematical modeling has become a significant asset in this field, enabling academics and professionals to comprehend the dynamics of cyber assaults and evaluate their possible ramifications on the security of communication networks and applications. The objective of this article is to examine the use of mathematical modeling in the analysis of cybersecurity assaults. The purpose of this introductory section is to provide an overview of the topic at hand and set the advent of the Internet of Things (IoT) in recent times has resulted in a significant surge in its utilization, hence giving rise to apprehensions about cybersecurity and the safeguarding of confidential data. Consequently, scholars are consistently investigating novel methodologies to augment measures of cybersecurity. A strategy that has been used involves the utilization of mathematical modeling to examine the characteristics and patterns shown by cybersecurity threats. According to Balarezo et al. [2], communication networks and apps face substantial risks from cybersecurity assaults, including Denial of Service and Distributed Denial of Service. Mathematical modeling provides a systematic and quantitative framework for comprehending the fundamental principles of these assaults and forecasting their probable ramifications. This study presents a mathematical modeling methodology for the analysis of cybersecurity threats, including variables such as operational efficiency, operational risk, and investment in cybersecurity solutions.