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
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 m...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
SABA Publishing
2024
|
| Online Access: | http://psasir.upm.edu.my/id/eprint/119970/ http://psasir.upm.edu.my/id/eprint/119970/1/119970.pdf |
| _version_ | 1848868089578389504 |
|---|---|
| author | Bouke, Mohamed Aly Abdullah, Azizol |
| author_facet | Bouke, Mohamed Aly Abdullah, Azizol |
| author_sort | Bouke, Mohamed Aly |
| building | UPM Institutional Repository |
| collection | Online Access |
| description | 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. |
| first_indexed | 2025-11-15T14:46:51Z |
| format | Article |
| id | upm-119970 |
| institution | Universiti Putra Malaysia |
| institution_category | Local University |
| language | English |
| last_indexed | 2025-11-15T14:46:51Z |
| publishDate | 2024 |
| publisher | SABA Publishing |
| recordtype | eprints |
| repository_type | Digital Repository |
| spelling | upm-1199702025-09-19T08:48:29Z http://psasir.upm.edu.my/id/eprint/119970/ 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 Bouke, Mohamed Aly Abdullah, Azizol 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. SABA Publishing 2024-03-20 Article PeerReviewed text en cc_by_4 http://psasir.upm.edu.my/id/eprint/119970/1/119970.pdf 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 https://sabapub.com/index.php/jaai/article/view/972 10.48185/jaai.v5i1.972 |
| spellingShingle | Bouke, Mohamed Aly Abdullah, Azizol 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 |
| title | 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 |
| title_full | 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 |
| title_fullStr | 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 |
| title_full_unstemmed | 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 |
| title_short | 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 |
| title_sort | 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 |
| url | http://psasir.upm.edu.my/id/eprint/119970/ http://psasir.upm.edu.my/id/eprint/119970/ http://psasir.upm.edu.my/id/eprint/119970/ http://psasir.upm.edu.my/id/eprint/119970/1/119970.pdf |