Adaptive Cybersecurity Frameworks and the Evolution of Threat Intelligence in Next-Generation Information Security Infrastructures

Y. S. Czerwinski

Authors

Y. S. Czerwinski Spain Author

Keywords:

Adaptive cybersecurity, threat intelligence, information security, cyber resilience, security frameworks

Abstract

The rapid evolution of cyber threats necessitates adaptive cybersecurity frameworks that can respond dynamically to emerging risks. This paper explores the development of such frameworks and the progression of threat intelligence within modern information security infrastructures. By analyzing existing literature and presenting current data, we aim to provide a comprehensive overview of adaptive strategies and their effectiveness in enhancing organizational resilience against cyber threats.

References

National Institute of Standards and Technology (NIST). (2024). The NIST Cybersecurity Framework (CSF) 2.0. NIST CSWP 29.

Vinay, S. B. (2024). Identifying research trends using text mining techniques: A systematic review. International Journal of Data Mining and Knowledge Discovery (IJDMKD), 1(1), 1–11.

Cybersecurity and Infrastructure Security Agency (CISA). (2020). Cybersecurity Framework Implementation Guidance. U.S. Department of Homeland Security.

Bitdefender. (2024). Principles of Adaptive Cybersecurity in a Dynamic Threat Landscape. Retrieved from

Ramachandran, K. K. (2024). The role of artificial intelligence in enhancing financial data security. International Journal of Artificial Intelligence & Applications (IJAIAP), 3(1), 1–11.

Global Cybersecurity Network. (2024). The Evolution of Cyber Threats: From Viruses to AI Attacks. Retrieved from

National Institute of Standards and Technology (NIST). (2024). Integrating Cybersecurity Frameworks into IT Security. arXiv:2502.00651.

Cybersecurity and Infrastructure Security Agency (CISA). (2023). Enabling Threat-Informed Cybersecurity: Evolving CISA's Approach to Cyber Threat Information Sharing. Retrieved from

Nivedhaa, N. (2024). Software architecture evolution: Patterns, trends, and best practices. International Journal of Computer Sciences and Engineering (IJCSE), 1(2), 1–14.

Center for Internet Security (CIS). (2021). Multi-State Information Sharing and Analysis Center (MS-ISAC). Retrieved from

Anomali. (2022). Anomali Joins MITRE Engenuity’s Center for Threat-Informed Defense. Retrieved from

MITRE Corporation. (2023). MITRE ATT&CK Framework. Retrieved from

National Institute of Standards and Technology (NIST). (2024). NIST AAL Adaptive Security Framework. ResearchGate.

Juan R. Trocoso-Pastoriza et al. (2022). Orchestrating Collaborative Cybersecurity: A Secure Framework for Distributed Privacy-Preserving Threat Intelligence Sharing. arXiv:2209.02676.

Martijn Dekker & Lampis Alevizos. (2023). A Threat-Intelligence Driven Methodology to Incorporate Uncertainty in Cyber Risk Analysis and Enhance Decision Making. arXiv:2302.13082.

Elijah Pelofske et al. (2023). Cybersecurity Threat Hunting and Vulnerability Analysis Using a Neo4j Graph Database of Open-Source Intelligence. arXiv:2301.12013.

Kealan Dunnett et al. (2022). A Trusted, Verifiable and Differential Cyber Threat Intelligence Sharing Framework using Blockchain. arXiv:2208.12031.

National Institute of Standards and Technology (NIST). (2024). Integrating Cybersecurity Frameworks into IT Security. arXiv:2502.00651

Adaptive Cybersecurity Frameworks and the Evolution of Threat Intelligence in Next-Generation Information Security Infrastructures

Authors

Keywords:

Abstract

References

Downloads

Published

Issue

Section

License