Articles
| Open Access | Integrative Approaches to Cyber Threat Intelligence and Intrusion Analysis: Advancing Organizational Cybersecurity Resilience
Abstract
The rapidly evolving cyber threat landscape has necessitated the development of sophisticated frameworks and methodologies to protect organizational information assets. This research explores integrative approaches to cyber threat intelligence (CTI) and intrusion analysis, emphasizing the functional deployment of cybersecurity situation centers, the diamond model of intrusion analysis, and the cyber kill chain framework. The study synthesizes contemporary literature and empirical insights to provide a comprehensive understanding of how intelligence-driven strategies enhance organizational cybersecurity resilience. A detailed examination of threat intelligence gathering, contextualization, and application is conducted, highlighting cognitive, technical, and operational considerations in detecting, analyzing, and mitigating cyber attacks. Furthermore, the research explores unified approaches to kill chain modeling, emphasizing how such integration can inform real-time threat detection, prioritization, and response. The findings underscore the importance of combining structured analytical models with dynamic, context-aware intelligence to counter increasingly sophisticated cyber adversaries. The study concludes with recommendations for operationalizing these frameworks in organizational contexts, highlighting limitations and future research directions for enhancing proactive cybersecurity postures.
Keywords
Cyber Threat Intelligence, Intrusion Analysis, Diamond Model, Kill Chain
References
Zhylin, A., Hudyncev, M., & Litvinov, M. (2018). Functional model of cybersecurity situation center. Collect. Inf. Technol. Secur., 6(2), 51–67. doi: 10.20535/2411-1031.2018.6.2.153490
Hearts, A. (2024). Diamond Model of Intrusion Analysis. Retrieved from https://medium.com/@agapehearts/diamond-model-of-intrusion-analysis- 81af3ee1baeb
Strategies for Gathering and Contextualizing Cyber Threat Intelligence. Retrieved from https://www.netskope.com/blog/strategies-for-gathering-and-contextualizing-cyber-threat- intelligence
Caltagirone, S., Pendergast, A., & Betz, C. (2013). The diamond model of intrusion analysis. Threat Connect, 298(0704), 1–61
Hutchins, E. M., Cloppert, M. J., & Amin, R. M. (2011). Intelligence-driven computer network defense informed by analysis of adversary campaigns and intrusion kill chains. Leading Issues in Information Warfare & Security Research, 1(1), 80
Means, C. D., Darling, E., & Perron, J. (2004). Applying Cognitive Work Analysis to Time Critical Targeting Functionality. Center For Air Force C2 Systems, Bedford, MA
Tarnowski, I. (2017). How to use cyber kill chain model to build cybersecurity? European Journal of Higher Education IT. Retrieved from https://www.eunis.org/download/TNC2017/TNC17-IreneuszTarnowski- cybersecurity.pdf
Yadav, T., & Rao, A. M. (2015). Technical aspects of cyber kill chain. In J. Abawajy, S. Mukherjea, S. Thampi, & A. Ruiz-Martínez (Eds.), Security in Computing and Communications. SSCC 2015 (Vol. 536, pp. 438–452). Springer, Cham. doi: 10.1007/978-3-319-22915-7_40
van den Berg, J. (2017). The unified kill chain. Retrieved from https://www.unifiedkillchain.com/asse ts/TheUnified-Kill-Chain-Thesis.pdf
Pols, P., & van den Berg, J. (2017). The unified kill chain. CSA Thesis, Hague, 1–104
Davis, M., et al. (2019). Phishing Attacks: Techniques and Countermeasures. IEEE Transactions on Cybersecurity, 15(4), 210–225
Davis, M., & Brown, K. (2020). SIEM Systems: Enhancing Threat Detection and Response. Journal of Cybersecurity Research, 12(3), 145–158
Davis, M., & Jones, A. (2022). Technological Defenses against Cyber Threats. Journal of Information Security, 20(4), 200–215
Demirbas, M., & Haas, M. (2009). Inter-vehicle communication and coordination for the deployment of intelligent transportation systems. IEEE Transactions on Intelligent Transportation Systems, 10(4), 477–485
Eberle, W., & Holder, L. (2009). Insider threat detection using graph-based approaches. Proceedings of the 2009 Cybersecurity Applications & Technology Conference for Homeland Security, 237–241
Shukla, O. Enhancing Threat Intelligence and Detection with Real-Time Data Integration
Saeed, S., Suayyid, S. A., Al-Ghamdi, M. S., AlMuhaisen, H., & Almuhaideb, A. M. (2023). A Systematic Literature Review on Cyber Threat Intelligence for Organizational Cybersecurity Resilience. Sensors, 23(16), 7273. https://doi.org/10.3390/s23167273
Security, M. (2024, April 24). What will cyber threats look like in 2024? CSO Online. https://www.csoonline.com/article/2095115/what-will-cyber-threats-look-like-in-2024.html
Patsavellas, J., Kaur, R., & Salonitis, K. (2021). Supply chain control towers: Technology push or market pull—An assessment tool. IET Collaborative Intelligent Manufacturing, 3(3), 290–302. https://doi.org/10.1049/cim2.12040.
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