Anticipating the impact of artificial intelligence to increase national vigilance against terrorism attacks in Indonesia
Keywords:
artificial intelligence, cyber terrorism, cyber security, kamikaze drones, national securityAbstract
Background: The rapid advancement of artificial intelligence (AI) poses significant challenges to national security, particularly in the context of cyber terrorism. Indonesia, as a country with a large Muslim population and a history of terrorist activities, faces unique threats that could exploit AI technologies for malicious purposes. The increasing frequency of cyber attacks, including botnet attacks and malware incidents, highlights the urgent need for comprehensive strategies to counter these threats. Methods: This study employs a literature review methodology, analyzing relevant academic articles, policy documents, and case studies on AI and cyber terrorism. The analysis focuses on the intersection of AI technologies and terrorism, exploring the vulnerabilities within Indonesia's cyber security landscape and examining international cooperation frameworks aimed at combating cyber threats. Data sources include scholarly journals, government reports, and publications from international organizations. Findings: The findings reveal that Indonesia's current cyber security infrastructure is inadequate to handle the evolving threats posed by AI-driven cyber terrorism. Notable vulnerabilities were identified in critical sectors, including government and financial institutions, exacerbated by previous cyber breaches. Furthermore, the study highlights the potential use of AI in advanced weaponry, such as kamikaze drones, which could significantly impact national security. Conclusion: To mitigate the risks associated with AI-based cyber terrorism, Indonesia must enhance its legal frameworks and foster international cooperation. Effective measures include harmonizing national laws with international standards and strengthening collaborative efforts with regional partners. Such initiatives are crucial for developing a robust defense against the multifaceted challenges of cyber threats. Novelty/Originality of this article: This study contributes to the existing literature by providing a comprehensive analysis of the implications of AI for cyber terrorism in Indonesia. It underscores the importance of integrating international legal instruments with national policies, offering a novel perspective on addressing the vulnerabilities within Indonesia's cyber security framework. The emphasis on regional cooperation and the exploration of innovative counter-terrorism strategies further enhance the originality of this research.
References
Azhar, Z. (2023). Kesiapan teknologi kamikaze drone untuk peperangan modern di Indonesia. Teknik Mesin dan Mekantronika, Vol. 8 , NO. 1, 1-8.
Bala, B., & Tar, U. (2021). Regional cooperation in west africa: counter-terrorism and counter-insurgency. African Security, Vol. 14, No 2, 186-207. https://doi.org/10.1080/19392206.2021.1929747
Bardwell, H., & Iqbal, M. (2020). The Economic Impact of Terrorism from 2000 to 2018. DE GRUYTER, 227-261. https://doi.org/10.1515/peps-2020-0031
Broeders, D., Cristiano, F., & Weggemans, D. (2023). Too close for comfort: cyber terrorism and information security across national policies and international diplomacy. Studies in conflict & terrorism, vol. 46, no 12, 2426-2453. https://doi.org/10.1080/1057610X.2021.1928887
Capuano, N. (2017). Explainable Artificial Intelligence In Cybersecurity: A Survey. IEEE Access, Vol. 4. https://doi.org/10.1109/ACCESS.2022.3204171
Chukwuma, K. H. (2022). Critical Terrorism studies and postcolonialism: constructing ungoverned spaces in counter-terrorism discourse in nigeria. Critical studies on terrorism, Vol. 15, NO 2, 399-416. https://doi.org/10.1080/17539153.2022.2048990
Does, R. V., Kantorowicz, J., Kuipers, S., & Liem, M. (2019). Does terrorism dominate citizens hearts or minds? the relationship between fear of terrorism and trust in government. Terrorism and political violence, Vol. 00, 1-18. https://doi.org/10.1080/09546553.2019.1608951
Galaz, V., Centeno, M., Callahan, P., Causevic, A., Patterson, T., & Brass, I. (2021). Artifical Intelligence, Systemic risks. Technology in society. https://doi.org/10.1016/j.techsoc.2021.101741
Hegghammer, T., & Ketchley, N. (2023). Plots, Attacks, And The Measurement of Terrorism. Journal of Conflict Resolution, Vol. 1-27. https://doi.org/10.1177/00220027231221536
Helbling, M., & Meierrieks, D. (2020). Terrorism and Migration, an Overview. British Journal of Political Science, 1-20. https://doi.org/10.1017/S0007123420000587
Hogetoorn, B. (2020). The Impact of terrorism on international mergers and acquisitions: evidence from firm-level decisions. Peace Research, 1-16. https://sagepub.com/journals-permissions
Husodo, A. Y., Jati, G., Octavian, A., & Jatmiko , W. (2020). Switching target communication strategy for optimizing multiple pursuer dronse performance in immobilizing kamikaze multiple evader drones. ICT Express, Vol. 6 , 76-82. https://doi.org/10.1016/j.icte.2020.03.007
Jore, S. h. (2023). Is Resilience a Good Concept In Terrorism Research? A Conceptual Adequacy Analysis of Terrorism Resilience. Studien In Conflict % Terrorism, Vol. 46. No 1-20. https://doi.org/10.1080/1057610X.2020.1738681
Kühl, N., Schemmer, M., Goutier, M., & Satzger, G. (2022). Artificial intelligence and machine learning. Electronic Markets, 32(4), 2235-2244. https://doi.org/10.1007/s12525-022-00598-0
Liden, K. (2023). A Better Foundation For National Security. Cooperation and Conflict, Vol. 58 . 3-22. https://doi.org/10.1177/00108367211068877
Nadjia, M. (2023). The Role Of Artifical Intelligence in Combating Cyber Terrorism. IUS ET SCIENTIA, Vol. 9 . http://doi.org/10.12795/IESTSCIENTIA.2023.i02.10
Noh, J., Kwon, Y., Son, Y., & Shin, H. (2019). Tractor Beam: safe-hijacking of consumer drones with adaptive GPS spoofing. ACM Transaction on privacy and security, Vol. 22. https://doi.org/10.1145/3309735
Prah, P. K., & Chanimbe, T. (2021). Ghana's readiness to combat terrorism: strategi of security institutions. the international journal of intelligence, security and public affairs, Vol. 23, NO, 3, 367-399. https://doi.org/10.1080/23800992.2021.1968582
Rosanti, D., Nurmandi Achmad, Muallidin, I., & Kurniawan, D. (2021). Meta-Analysis At The Root Terrorism From The Perspective of Islamic Movement In Indonesia. Jurnal Hukum dan Pranata Sosial, 393-420. https://doi.org/10.19105/al-lhkam.v16i2.4817
Saidi, F. (2022). A Hybrid Deep Learning-based framework for future terrorist activities modeling and prediction. Egytian Informatics Journal, 437-446. https://doi.org/10.1016/j.eij.2022.04.001
Schuurman, B. (2019). Topics in terrorism research: reviewing trends and gaps, 2007-2016. Critical studies on terrorism, Vol. 12, no 3, 463-480. https://doi.org/10.1080/17539153.2019.1579777
Shandler, R., Gross, M. L., Bachaus, S., & Canetti, D. (2021). Cyber Terrorism and Public Support For Retaliation - A Multi-Country Survey Experiment. British Journal Of Political Science, 1-19. https://doi.org/10.1017/S0007123420000812
Telford, A. (2020). A Climate Terrorism Assemblage ? Exploring The Politics Of Climate Change-Terrorism-Radicalisation Relations. Political Geography, 79. https://doi.org/10.1016/j.polgeo.2020.102150
Vega, R. P., Kaartemo, V., Lages, C. R., Razavi, N. B., & Mannisto, J. (2020). Reshaping the contexts of online customer engagement behavior via artificial intelligence: a conceptual framework. Journal of Business Research. https://doi.org/10.1016/j.jbusres.2020.11.002
Downloads
Published
Issue
Section
Citation Check
License
Copyright (c) 2024 Remote Sensing Technology in Defense and Environment
![Creative Commons License](http://i.creativecommons.org/l/by/4.0/88x31.png)
This work is licensed under a Creative Commons Attribution 4.0 International License.