Keamanan Siber Berbasis AI untuk Mitigasi Ancaman Komputasi Kuantum
DOI:
https://doi.org/10.36596/jitu.v9i2.2079Keywords:
Cyber Security, Artificial Intelligence , Quantum Computing, Cyber Threats, Security SystemsAbstract
Cybersecurity has become a major challenge in protecting data and information systems in the rapidly evolving digital era. One emerging threat is the potential impact of quantum computing on the cryptographic algorithms currently in use. Quantum computing has the potential to weaken the resilience of conventional encryption, thereby creating vulnerabilities that could be exploited by cyberattacks. Therefore, innovation in cybersecurity systems is urgently required to anticipate these threats. This study aims to develop and evaluate a cybersecurity prototype based on Artificial Intelligence (AI) designed to protect data from quantum computing threats. The research methodology includes the development of AI algorithms for anomaly detection, system resilience testing, and quantum computing threat simulation in real-world scenarios. The results indicate that the developed AI-based system is capable of identifying potential attacks and responding more quickly than traditional security systems. Moreover, the prototype demonstrates greater resilience against attacks leveraging quantum computing capabilities. The expected outcome of this research is the establishment of a cybersecurity framework that can be implemented across various sectors, along with strategic recommendations for adopting AI in addressing future cybersecurity challenges.
References
[1]. Abdullah, M. S., & Ikasari, I. H. (2023). Perkembangan Terbaru Dalam Keamanan Siber, Ancaman Yang Diidentifikasi Dan Upaya Pencegahan. JRIIN?: Jurnal Riset Informatika Dan Inovasi, 1(1).
[2]. Aditya Putra, F. (2022). Tata Kelola Ekosistem Berbagi Informasi Keamanan Siber pada Information Sharing and Analysis Center (ISAC) Sektor Pemerintah Daerah di Indonesia. Info Kripto, 16(1). https://doi.org/10.56706/ik.v16i1.39
[3]. 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
[4]. Badan Siber dan Sandi Negara. (2022). Lanskap Keamanan Siber Indonesia 2022. Badan Siber Dan Sandi Negara.
[5]. Diseria, R., & Fadhlain, S. (2024). Strategi Komunikasi DISKOMINSA Kabupaten Simeulue dalam Melaksanakan Sosialisasi Persandian dan Keamanan Siber. COMSERVA?: Jurnal Penelitian Dan Pengabdian Masyarakat, 3(09). https://doi.org/10.59141/comserva.v3i09.1161
[6]. Farid, I., Reksoprodjo, A. H., & Suhirwan. (2023). Pemanfaatan Artificial Intelligence Dalam Pertahanan Siber. NUSANTARA: Jurnal Ilmu Pengetahuan Sosial , 10(2).
[7]. Jose, H. S. (2021). Politisasi Agenda Keamanan Siber Pada Era Industri 4.0 di Forum Multilateral. POPULIKA, 9(2). https://doi.org/10.37631/populika.v9i2.390
[8]. Laksana, T. G., & Mulyani, S. (2024). PENGETAHUAN DASAR IDENTIFIKASI DINI DETEKSI SERANGAN KEJAHATAN SIBER UNTUK MENCEGAH PEMBOBOLAN DATA PERUSAHAAN. Jurnal Ilmiah Multidisiplin, 3(01). https://doi.org/10.56127/jukim.v3i01.1143
[9]. Mahendra, V., & Soewito, B. (2023). Penerapan Kerangka Kerja NIST Cybersecurity dan CIS Controls sebagai Manajemen Risiko Keamanan Siber. Techno.Com, 22(3). https://doi.org/10.33633/tc.v22i3.8491
[10]. Muhyidin, H. A. F., & Venica, L. (2023). Pengembangan Chatbot untuk Meningkatkan Pengetahuan dan Kesadaran Keamanan Siber Menggunakan Long Short-Term Memory. Jurnal Informatika Dan Rekayasa Perangkat Lunak, 5(2). https://doi.org/10.36499/jinrpl.v5i2.8818
[11]. Nugroho, I. I., Pratiwi, R., & Az Zahro, S. R. (2021). Optimalisasi Penanggulangan Kebocoran Data Melalui Regulatory Blockchain Guna Mewujudkan Keamanan Siber di Indonesia. Ikatan Penulis Mahasiswa Hukum Indonesia Law Journal, 1(2). https://doi.org/10.15294/ipmhi.v1i2.53698
[13]. Oktaviani, P. B., & Silvia, A. (2021). Strategi Keamanan Siber Malaysia. Jurnal Kajian Ilmiah, 21(1). https://doi.org/10.31599/jki.v21i1.447
[14]. RECORDED FUTURE INC. (2018). Machine Learning: Practical Applications for Cybersecurity. [Halaman Web]. Diakses Dari.
[15]. Satrio, J., Maryam, S., Ummah, A., & Tri Saputra Wahidin, D. (2022). Peningkatan Keterampilan Keamanan Siber bagi Pengelola Situs Desa Baros Kabupaten Serang. Jurnal Inovasi Pengabdian Dan Pemberdayaan Masyarakat, 2(2). https://doi.org/10.54082/jippm.35
[16]. Sigiro, F. H., Runturambi, A. J. S., & Widiawan, B. (2023). Collaborative Sharing Intelijen Ancaman Pada Komunitas Csirt Dalam Memperkuat Keamanan Siber Nasional. Syntax Literate?; Jurnal Ilmiah Indonesia, 7(9). https://doi.org/10.36418/syntax-literate.v7i9.14245
[17]. Siska, M., Siregar, I., Saputra, A., Juliana, M., & Afifudin, M. T. (2023). Kecerdasan Buatan dan Big Data dalam Industri Manufaktur: Sebuah Tinjauan Sistematis. Nusantara Technology and Engineering Review, 1(1). https://doi.org/10.55732/nter.v1i1.1119
[18]. Vania, C., Markoni, M., Saragih, H., & Widarto, J. (2023). Tinjauan Yuridis terhadap Perlindungan Data Pribadi dari Aspek Pengamanan Data dan Keamanan Siber. Jurnal Multidisiplin Indonesia, 2(3). https://doi.org/10.58344/jmi.v2i3.157
[19]. Waskita, A. S., & Sidik, H. (2023). Diplomasi Siber Indonesia dalam Penyelenggaraan Capacity Building on National Cybersecurity Strategy Workshop 2019. Padjadjaran Journal of International Relations, 5(2). https://doi.org/10.24198/padjir.v5i2.41337
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2025 JITU : Journal Informatic Technology And Communication
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.
1.png)
