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SMRD: a novel cyber warfare modeling framework for Social Engineering, Malware, Ransomware, and Distributed Denial-of-Service based on a system of nonlinear differential equations


Citation

Bouke, Mohamed Aly and Abdullah, Azizol (2024) SMRD: a novel cyber warfare modeling framework for Social Engineering, Malware, Ransomware, and Distributed Denial-of-Service based on a system of nonlinear differential equations. Journal of Applied Artificial Intelligence, 5 (1). pp. 54-68. ISSN 2709-5908

Abstract

Cyber warfare has emerged as a critical aspect of modern conflict, as state and non-state actors increasingly leverage cyber capabilities to achieve strategic objectives. The rapidly evolving cyber threat landscape demands robust and adaptive approaches to protect against advanced cyberattacks and mitigate their impact on national security. Traditional cyber defense strategies often struggle to keep pace with the rapidly changing threat landscape, resulting in the need for more robust and adaptive approaches to protect against advanced cyberattacks. This paper presents a novel cyber warfare modeling framework, Social Engineering, Malware, Ransomware, and Distributed Denial-of-Service (SMRD), capturing the interactions and interdependencies between these core components. The SMRD framework offers insights for enhancing cyber defense, threat prediction, and proactive measures. A mathematical model consisting of a system of nonlinear differential equations is proposed to quantify the relationships and dynamics between the components.


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Additional Metadata

Item Type: Article
Divisions: Faculty of Computer Science and Information Technology
DOI Number: https://doi.org/10.48185/jaai.v5i1.972
Publisher: SABA Publishing
Keywords: Cyber warfare; Modeling's framework; Cyber defense strategies; Cyber security; Interdependencies and dynamics
Depositing User: Ms. Nur Faseha Mohd Kadim
Date Deposited: 19 Sep 2025 08:48
Last Modified: 19 Sep 2025 08:48
Altmetrics: http://www.altmetric.com/details.php?domain=psasir.upm.edu.my&doi=10.48185/jaai.v5i1.972
URI: http://psasir.upm.edu.my/id/eprint/119970
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