DAMPAK PENGGUNAAN ARTIFICIAL INTELLIGENCE PADA KEAMANAN SIBER: SEBUAH KAJIAN TERHADAP POTENSI KEUNTUNGAN DAN ANCAMAN

Authors

  • Rasya Rafika Widalala UPN "Veteran" Jawa Timur
  • Amanda Novalina Khairunissa UPN “Veteran” Jawa Timur
  • Juhar Ananda Dika UPN “Veteran” Jawa Timur
  • Allyssa Az Zahra Wijanarko UPN “Veteran” Jawa Timur

DOI:

https://doi.org/10.47353/bj.v4i8.458

Keywords:

Artificial Intelligence, Cyber Security, Technology

Abstract

Artificial Intelligence (AI) is now widely used in cybersecurity to detect threats while maximizing its benefits. The rapid transformation of technology makes cybersecurity a critical issue that needs to be anticipated in today's digital era. In this research, a comprehensive study is conducted on the impact of using AI in cybersecurity, especially on the potential benefits and threats that may arise. The purpose of this research is to explore the benefits resulting from the use of AI in detecting cyber threats and identify the most significant types of cyber attacks. The method used is Systematic Literature Review (SLR), by reviewing 39 papers published between 2020 and 2024. The originality of this research lies in the in-depth analysis of the potential benefits and risks of AI threats in cybersecurity. The results of this study confirm that AI can improve the efficiency and effectiveness of cyber threat detection. This research is expected to provide new insights into the dynamics of cybersecurity and open up opportunities for further research development.

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References

Abdulganiyu, O. H., Ait Tchakoucht, T., & Saheed, Y. K. (2023). A systematic literature review for network intrusion detection system (IDS). International Journal of Information Security, 22(5). https://doi.org/10.1007/s10207-023-00682-2

Anastasya Zalsabilla Hermawan, M. Novianto Anggoro, Ditha Lozera, & Asif Faroqi. (2023). STUDI LITERATUR: ANCAMAN SERANGAN SIBER ARTIFICIAL INTELLIGENCE (AI) TERHADAP KEAMANAN DATA DI INDONESIA. Prosiding Seminar Nasional Teknologi Dan Sistem Informasi, 3(1). https://doi.org/10.33005/sitasi.v3i1.363

Aslam, M. (2024). AI and Cybersecurity: An Ever-Evolving Landscape. In International Journal of Advanced Engineering Technologies and Innovations (Vol. 01).

Azhar, I., & Sr, M. (2020). Artificial Intelligence for Cybersecurity: a Systematic Mapping of Literature. International Journal of Innovations in Engineering Research and Technology [Ijiert], 7(9), 172–176.

Binhammad, M., Alqaydi, S., Othman, A., & Abuljadayel, L. H. (2024). The Role of AI in Cyber Security: Safeguarding Digital Identity. Journal of Information Security, 15(02), 245–278. https://doi.org/10.4236/jis.2024.152015

Dash, B., Ansari, M. F., Sharma, P., & Ali, A. (2022). Threats and Opportunities with AI-based Cyber Security Intrusion Detection: A Review. International Journal of Software Engineering & Applications, 13(5). https://doi.org/10.5121/ijsea.2022.13502

Dan, T., Masa, P., Simanjuntak, E. N., Irmayani, D., & Nasution, F. A. (2024). Tinjauan Penerapan Kecerdasan Buatan Dalam Keamanan Jaringan. 7(September), 370–375.

de Azambuja, A. J. G., Giese, T., Schützer, K., Anderl, R., Schleich, B., & Rosa Almeida, V. (2024). Digital Twins in Industry 4.0 – Opportunities and challenges related to Cyber Security. Procedia CIRP, 121. https://doi.org/10.1016/j.procir.2023.09.225

Fitria, E. Y., & Mutijarsa, K. (2023). Survei Penelitian Metode Kecerdasan Buatan untuk Mendeteksi Ancaman Teknologi Serangan Siber. Jurnal Teknologi Informasi Dan Ilmu Komputer, 10(6). https://doi.org/10.25126/jtiik.1067341

Gustina DM, V., & Ananda, A. (2024). Kecerdasan Buatan untuk Security Orchestration, Automation and Response: Tinjauan Cakupan. Jurnal Komputer Terapan, 10(1), 36–47. https://doi.org/10.35143/jkt.v10i1.6247

Hansen, J., & Sutabri, T. (2023). Mendesain Cyber Security Untuk Mencegah Serangan DDoS Pada Website Menggunakan Metode Captcha. Digital Transformation Technology, 3(1), 289–298.

Jonas, D., Aprila Yusuf, N., & Rahmania Az Zahra, A. (2023). Enhancing Security Frameworks with Artificial Intelligence in Cybersecurity. International Transactions on Education Technology (ITEE), 2(1). https://doi.org/10.33050/itee.v2i1.428

Kaur, R., Gabrijelčič, D., & Klobučar, T. (2023). Artificial intelligence for cybersecurity: Literature review and future research directions. Information Fusion, 97. https://doi.org/10.1016/j.inffus.2023.101804

Keamanan, A., & Sosial, J. (2024). Technology Sciences Insights Journal. d, 0–3.

Laato, S., Farooq, A., Tenhunen, H., Pitkamaki, T., Hakkala, A., & Airola, A. (2020). AI in cybersecurity education-a systematic literature review of studies on cybersecurity moocs. Proceedings - IEEE 20th International Conference on Advanced Learning Technologies, ICALT 2020. https://doi.org/10.1109/ICALT49669.2020.00009

Lazic, L. (2019). Benefit From AI in Cybersecurity. The 11th International Conference on Business Information Security, Belgrade, Serbia, October.

Naik, B., Mehta, A., Yagnik, H., & Shah, M. (2022). The impacts of artificial intelligence techniques in augmentation of cybersecurity: a comprehensive review. Complex and Intelligent Systems, 8(2). https://doi.org/10.1007/s40747-021-00494-8

Nyale, D., & Angolo, S. M. (2022). A Survey of Artificial Intelligence in Cyber Security. International Journal of Computer Applications Technology and Research. https://doi.org/10.7753/ijcatr1112.1014

Phillips, K., Davidson, J. C., Farr, R. R., Burkhardt, C., Caneppele, S., & Aiken, M. P. (2022). Conceptualizing Cybercrime: Definitions, Typologies and Taxonomies. Forensic Sciences, 2(2), 379–398. https://doi.org/10.3390/forensicsci2020028

Raimundo, R., & Rosário, A. (2021). The impact of artificial intelligence on data system security: A literature review. In Sensors (Vol. 21, Issue 21). https://doi.org/10.3390/s21217029

Rawat, D. B., Doku, R., & Garuba, M. (2021). Cybersecurity in Big Data Era: From Securing Big Data to Data-Driven Security. IEEE Transactions on Services Computing, 14(6), 2055–2072. https://doi.org/10.1109/TSC.2019.2907247

Rjoub, G., Bentahar, J., Abdel Wahab, O., Mizouni, R., Song, A., Cohen, R., Otrok, H., & Mourad, A. (2023). A Survey on Explainable Artificial Intelligence for Cybersecurity. IEEE Transactions on Network and Service Management, 20(4). https://doi.org/10.1109/TNSM.2023.3282740

Sarker, I. H. (2021). Deep Cybersecurity: A Comprehensive Overview from Neural Network and Deep Learning Perspective. SN Computer Science, 2(3). https://doi.org/10.1007/s42979-021-00535-6

Sarker, I. H., Kayes, A. S. M., Badsha, S., Alqahtani, H., Watters, P., & Ng, A. (2020). Cybersecurity data science: an overview from machine learning perspective. Journal of Big Data, 7(1). https://doi.org/10.1186/s40537-020-00318-5

Sarker, I. H., Furhad, M. H., & Nowrozy, R. (2021). AI-Driven Cybersecurity: An Overview, Security Intelligence Modeling and Research Directions. In SN Computer Science (Vol. 2, Issue 3). https://doi.org/10.1007/s42979-021-00557-0

Sai, S., Yashvardhan, U., Chamola, V., & Sikdar, B. (2024). Generative AI for Cyber Security: Analyzing the Potential of ChatGPT, DALL-E, and Other Models for Enhancing the Security Space. IEEE Access, 12(April), 53497–53516. https://doi.org/10.1109/ACCESS.2024.3385107

Salem, A. H., Azzam, S. M., Emam, O. E., & Abohany, A. A. (2024). Advancing cybersecurity: a comprehensive review of AI-driven detection techniques. In Journal of Big Data (Vol. 11, Issue 1). Springer International Publishing. https://doi.org/10.1186/s40537-024-00957-y

Shaukat, K., Luo, S., Varadharajan, V., Hameed, I. A., & Xu, M. (2020). A Survey on Machine Learning Techniques for Cyber Security in the Last Decade. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.3041951

Sinaga, N. H., Irmayani, D., Nirmala, M., & Hasibuan, S. (2024). Mengoptimalkan Keamanan Jaringan: Memanfaatkan Kecerdasan Buatan Untuk Meningkatkan Deteksi Dan Respon Ancaman. 7(September), 364–369.

Sutarti, & Khairunnisa. (2017). Perancangan Dan Analisis Keamanan Jaringan Nirkabel Dari Serangan Ddos (Distributed Denial of Service) Berbasis Honeypot. Jurnal PROSISKO, 4(2), 8.

Sutabri, T., & Hansen, J. (2023). Mendesain Cyber Security Untuk Mencegah Serangan DDoS Pada Website Menggunakan Metode Captcha. Digital Transformation Technology, 3(1), 289–298.

Weng, Y., & Wu, J. (2024). Journal of Artificial Intelligence General Science (JAIGS) Leveraging Artificial Intelligence to Enhance Data Security and Combat Cyber Attacks Keywords: Artificial Intelligence, National Security, Data Security, Data Privacy, Cybersecurity, 5(1).

Wiafe, I., Koranteng, F. N., Obeng, E. N., Assyne, N., Wiafe, A., & Gulliver, S. R. (2020). Artificial Intelligence for Cybersecurity: A Systematic Mapping of Literature. IEEE Access, 8. https://doi.org/10.1109/ACCESS.2020.3013145

Zhang, Z., Ning, H., Shi, F., Farha, F., Xu, Y., Xu, J., Zhang, F., & Choo, K. K. R. (2022). Artificial intelligence in cyber security: research advances, challenges, and opportunities. Artificial Intelligence Review, 55(2). https://doi.org/10.1007/s10462-021-09976-0

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Published

2024-11-30

How to Cite

Rafika Widalala, R. ., Novalina Khairunissa, A. ., Ananda Dika, J. ., & Az Zahra Wijanarko, A. . (2024). DAMPAK PENGGUNAAN ARTIFICIAL INTELLIGENCE PADA KEAMANAN SIBER: SEBUAH KAJIAN TERHADAP POTENSI KEUNTUNGAN DAN ANCAMAN. Berajah Journal, 4(8), 1541–1552. https://doi.org/10.47353/bj.v4i8.458