SUSTAINABLE MARITIME DEFENSE MODELLING: AN ARCHIPELAGIC APPROACH TO ADAPTABILITY AND FLEXIBILITY
Abstract
Abstract
Maritime security in archipelagic regions presents unique challenges due to the complex geographical, environmental, and socio-political factors at play. This study aims to explore key factors influencing maritime security in archipelagic regions and propose a sustainable maritime defense model that prioritizes adaptability and flexibility. Using qualitative research methods, secondary data from government reports, academic publications, and archival records is analyzed to identify these factors and design the defense model. Findings reveal that factors such as geopolitical tensions, transnational crime, and environmental vulnerabilities significantly impact maritime security. The proposed defense model integrates adaptive technologies, flexible operational procedures, and enhanced interagency collaboration to address these challenges effectively. The empirical outcomes of testing the model in diverse archipelagic environments demonstrate its effectiveness in enhancing situational awareness, response capabilities, and adaptability to emerging threats. Lessons learned from case studies inform future improvements to the defense model, emphasizing the importance of technology integration, operational flexibility, collaborative efforts, capacity building, and continuous evaluation. In conclusion, the study contributes insights into sustainable maritime defense modeling in archipelagic regions, providing valuable guidance for policymakers, defense strategists, and maritime security agencies.
Keywords: adaptability, archipelagic regions, flexibility, maritime security, sustainable defense model
Full Text:
PDFReferences
Agastia, I. G. B. D. (2021). Maritime security cooperation within the ASEAN institutional framework: A gradual shift towards practical cooperation. JAS (Journal of ASEAN Studies), 9(1).
Akoul, K. (2023, August 16). Op-Ed: How maritime can help the defense sector be sustainable. Marine Log. https://www.marinelog.com/views/op-eds/op-ed-how-maritime-can-help-the-defense-sector-be-sustainable/
Ali, A. L., & Zafar, N. (2022). Maritime Security Dynamics of Archipelagic States: The Case of Maldives. P-JMR, 3(1), 193–228.
Anani, O. A., Adetunji, C. O., Olugbemi, O. T., Hefft, D. I., Wilson, N., & Olayinka, A. S. (2022). IoT-based monitoring system for freshwater fish farming: Analysis and design. In AI, Edge and IoT-based Smart Agriculture (pp. 505-515). Academic Press.
Benson, J. (2020, February 3). Maritime Security in the Asia-Pacific: Measuring Challenges and Progress. The Dip;Omat. https://thediplomat.com/2020/02/maritime-security-in-the-asia-pacific-measuring-challenges-and-progress/
Brennan, J., & Germond, B. (2024). A methodology for analysing the impacts of climate change on maritime security. Climatic Change, 177(1), 15.
Brouwer, A. S., van den Broek, M., Seebregts, A., & Faaij, A. (2015). Operational flexibility and economics of power plants in future low-carbon power systems. Applied Energy, 156, 107–128.
Burnett, M. J., Süßle, V., Saayman, T., Jewitt, G., O’Brien, G. C., & Downs, C. T. (2024). Detecting changes in fish behaviour in real time to alert managers to thresholds of potential concern. River Research and Applications, 40(1), 129–147.
Canepa, M., Ballini, F., Dalaklis, D., & Vakili, S. (2021). Assessing the effectiveness of cybersecurity training and raising awareness within the maritime domain. NTED2021 Proceedings (Pp. 3489-3499).
Chintoan-Uta, M., & Silva, J. R. (2017). Global maritime domain awareness: A sustainable development perspective. WMU Journal of Maritime Affairs, 16, 37–52.
Cooke, S. J., Venturelli, P., Twardek, W. M., Lennox, R. J., Brownscombe, J. W., Skov, C., Hyder, K., Suski, C. D., Diggles, B. K., & Arlinghaus, R. (2021). Technological innovations in the recreational fishing sector: implications for fisheries management and policy. Reviews in Fish Biology and Fisheries, 31, 253–288.
Creswell, J. W. (2014). Research Design: Qualitative, Quantitative, and Mixed Methods Approaches. SAGE Publications.
Danh, L. V. Q., Dung, D. V. M., Danh, T. H., & Ngon, N. C. (2020). Design and deployment of an IoT-based water quality monitoring system for aquaculture in Mekong Delta. International Journal of Mechanical Engineering and Robotics Research, 9(8), 1170–1175.
Das, S. (2023, September 1). Harnessing the Power of Artificial Intelligence in Marine Defense. Aranca. https://www.aranca.com/knowledge-library/articles/ip-research/harnessing-the-power-of-artificial-intelligence-in-marine-defense
DHS. (2024, February 13). Feature Article: Using a ‘Roadmap’ to Chart the Future of Maritime Security. Science and Technology. https://www.dhs.gov/science-and-technology/news/2024/02/13/feature-article-using-roadmap-chart-future-maritime-security
Dwicahyono, T., Bura, R. O., Hendrantoro, G., & Widodo, P. (2021). Maritime Asymmetric Warfare in Archipelagic States; The Indonesian Phenomena. Journal of Strategic and Global Studies, 4(1). https://doi.org/10.7454/jsgs.v4i2.1045
Edmunds, T. (2014). Maritime security sector reform: Lessons from the mainstream. Third World Quarterly, 31(8), 1381–1383.
Eisenhut. Mario. (2024, January 10). “Curse or Blessing” Innovation in Maritime Security - Technological Advances in Focus. Linkedin. https://www.linkedin.com/pulse/curse-blessing-innovation-maritime-security-focus-mario-eisenhut-xtlfe?trk=article-ssr-frontend-pulse_more-articles_related-content-card
Encinas, C., Ruiz, E., Cortez, J., & Espinoza, A. (2017). Design and implementation of a distributed IoT system for the monitoring of water quality in aquaculture. In 2017 Wireless telecommunications symposium (WTS) (pp. 1-7). IEEE.
Ferrero, G., Setty, K., Rickert, B., George, S., Rinehold, A., DeFrance, J., & Bartram, J. (2019). Capacity building and training approaches for water safety plans: A comprehensive literature review. International Journal of Hygiene and Environmental Health, 222(4), 615–627.
Germond, B., & Mazaris, A. D. (2019). Climate change and maritime security. Marine Policy, 99, 262–266.
Graffy, C. (2022, June 24). Who will own the oceans? GIS. https://www.gisreportsonline.com/r/maritime-law/
Habib, C., Makhoul, A., Darazi, R., & Couturier, R. (2017, October). Real-time sampling rate adaptation based on continuous risk level evaluation in wireless body sensor networks. 2017 IEEE 13th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob) (Pp. 1-8).
Hong, N. (2021). Unfolding Black and White of China’s BRI in the Indian Ocean: Narratives, Perceptions and Public Diplomacy. Polaris – Journal of Maritime Research, 3(1), 1–1. https://doi.org/10.53963/pjmr.2021.001.3
Huda, M., Hashim, A., Teh, K. S. M., Shankar, K., Ayshwarya, B., Nguyen, P. T., Hashim, W., & Maseleno, A. (2019). Learning quality innovation through integration of pedagogical skill and adaptive technology. International Journal of Innovative Technology and Exploring Engineering, 8(9), 1538–1541.
Jane, V., & Cay, E. (2010). Archipelagic sea lanes passage and maritime security in Archipelagic sea lanes passage and maritime security in archipelagic Southeast Asia archipelagic Southeast Asia. https://commons.wmu.se/all_dissertations
John. (2023, April 20). Role of Technology in Maritime Security . Critical Maritime Routes. https://criticalmaritimeroutes.eu/role-of-technology-in-maritime-security.html
Johnson, B., & Treadway, W. A. (2019). Artificial intelligence—an enabler of naval tactical decision superiority. AI Magazine, 40(1), 63–78.
Kuyoro, S. O., Ibikunle, F., & Awodele, O. (2011). Cloud computing security issues and challenges. International Journal of Computer Networks (IJCN), 3(5), 247–255.
Li, L. (2023). Building Up a Sustainable Path to Maritime Security: An Analytical Framework and Its Policy Applications. Sustainability, 15(8), 6757.
Lin, J., Shen, Z., Zhang, A., & Chai, Y. (2018, July). Blockchain and IoT based food traceability for smart agriculture. Proceedings of the 3rd International Conference on Crowd Science and Engineering (Pp. 1-6).
Marusich, L. R., Bakdash, J. Z., Onal, E., Yu, M. S., Schaffer, J., O’Donovan, J., Höllerer, T., Buchler, N., & Gonzalez, C. (2016). Effects of information availability on command-and-control decision making: performance, trust, and situation awareness. Human Factors, 58(2), 301–321.
Masnila, N., Isa, I. G. T., Hendradinata, H. , & Mayasari, R. (2022). IoT-Based Technological Innovation in Improving the Productivity of Macan Kumbang Fish Cultivator. In 5th FIRST T1 T2 2021 International Conference (FIRST-T1-T2 2021) (pp. 271-281). Atlantis Press.
Nosair, H., & Bouffard, F. (2015). Flexibility envelopes for power system operational planning. IEEE Transactions on Sustainable Energy, 6(3), 800–809.
Palma, L. M., & Alano, M. G. (2023, October 4). A Step in the Right Direction: Advancing the Philippines’ Maritime Priorities. AMTI . https://amti.csis.org/a-step-in-the-right-direction-advancing-the-philippines-maritime-priorities/
Pandey, S. (2023). Advancements in Maritime Security: Exploring Emerging Technologies. https://doi.org/10.5281/zenodo.8319904
Prapti, D. R., Mohamed Shariff, A. R., Che Man, H., Ramli, N. M., Perumal, T., & Shariff, M. (2022). Internet of Things (IoT)‐based aquaculture: An overview of IoT application on water quality monitoring. Reviews in Aquaculture, 14(2), 979–992.
President Bush. (2005). National Plan to Achieve Maritime Domain Awareness.
Qin, R., Nembhard, D. A., & Barnes II, W. L. (2015). Workforce flexibility in operations management. Surveys in Operations Research and Management Science, 20(1), 19–33.
Rahman, A. R. (2023). Defense as an Economic Problem from an Archipelagic Perspective: The Indonesian Case (pp. 151–166). https://doi.org/10.2991/978-94-6463-362-7_12
Raišienė, A. G., Bilan, S., Smalskys, V., & Gečienė, J. (2019). Emerging changes in attitudes to inter-institutional collaboration: the case of organizations providing social services in communities. Administratie Si Management Public. Bucharest: Academy of Economic Studies from Bucharest, 2019, No. 33.
Rastegari, H., Nadi, F., Lam, S. S., Ikhwanuddin, M., Kasan, N. A., Rahmat, R. F., & Mahari, W. A. W. (2023). Internet of Things in aquaculture: A review of the challenges and potential solutions based on current and future trends. Smart Agricultural Technology, 4, 100187.
Raup, S. A., Mashar, A., Patmiarsih, S., & Juniar, R. D. (2023, August). Integration of tuna fishery data collection in the Southern Waters of Java (FMA-573). IOP Conference Series: Earth and Environmental Science (Vol. 1221, No. 1, p. 012007).
Sarjito, A. (2023). Challenges and Opportunities Facing Public Administration in the 21st Century. JUSS (Jurnal Sosial Soedirman), 6(2), 64–82.
Sarjito, A., Thamrin, S., & Saragih, H. J. R. (2020). Rental Policy of Military Combat Equipment for National Defense: A Trial. Asian Research Journal of Arts & Social Sciences, 12(4), 1–13.
Shah, V. (2021). Machine Learning Algorithms for Cybersecurity: Detecting and Preventing Threats. Revista Espanola de Documentacion Cientifica, 15(4), 42–66.
Skopik, F., Settanni, G., & Fiedler, R. (2016). A problem shared is a problem halved: A survey on the dimensions of collective cyber defense through security information sharing. Computers & Security, 60, 154–176.
Systematic. (2023, May 30). Advantages of AI in the Maritime Battlespace: Enhancing Naval Operations. Systematic. https://systematic.com/en-gb/industries/defence/news-knowledge/blog/advantages-of-ai-in-the-maritime-battlespace-enhancing-naval-operations/
Tam, K., Moara-Nkwe, K., & Jones, K. D. (2021). The use of cyber ranges in the maritime context: Assessing maritime-cyber risks, raising awareness, and providing training. Maritime Technology and Research, 3(1), 16–30.
Tillson, J. C. F., Freeman, W. D., Burns, W. R., Michel, J., LeCuyer, J. A., Scales, R. H., & Worley, D. R. (2005). Learning to adapt to asymmetric threats. Washington, DC: Institute for Defense Analysis, 30, 24.
Webb, J., Ahmad, A., Maynard, S. B., & Shanks, G. (2014). A situation awareness model for information security risk management. Computers & Security, 44, 1–15.
Yang, X., Shu, L., Chen, J., Ferrag, M. A., Wu, J. , Nurellari, E., & Huang, K. (2021). A survey on smart agriculture: Development modes, technologies, and security and privacy challenges. IEEE/CAA Journal of Automatica Sinica, 8(2), 273–302.
DOI: https://doi.org/10.26418/jpasdev.v5i1.79849
Refbacks
- There are currently no refbacks.
This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.