Systematic Literature Review: Permasalahan Ransomware pada Aplikasi Berbasis Cloud
Abstract
Ransomware has created questions on the security aspects of a cloud architcture, especially with cloud services being adopted by more enterprises. Ransomware encrypts data and makes it inaccessible. Victims are given instructions to pay the attacker a fee in exchange for having their data accessible again. Ransomware has organizations and is increasingly targeting applications running on databases. To prevent this problem, this study uses the Systematic Literature Review method to provide information about ransomware problems in cloud-based applications, as well as ransomware prevention in cloud-based applications and its challenges including the differences in effectiveness for each type of ransomware and the strategies that do not apply to server-side attacks. The research review shows that backup and recovery is a key defense strategy against ransomware. Ransomware protection, applications, and databases require the right strategy, including reliable recovery. This research is useful to ensure that the cloud-based is protected from ransomware attacks.
References
C. Hagen, A. Dmitrienko, L. Iffländer, M. Jobst, and S. Kounev, “Efficient and effective ransomware detection in databases,” Annu. Comput. Secur. Appl. Conf.(ACSAC), no. April 2019, 2018.
L. Iffländer, A. Dmitrienko, C. Hagen, M. Jobst, and S. Kounev, “Hands Off my Database: Ransomware Detection in Databases through Dynamic Analysis of Query Sequences,” 2019, [Online]. Available: http://arxiv.org/abs/1907.06775.
F. Kwarto and M. Angsito, “Pengaruh Cyber Crime Terhadap Cyber Security Compliance Di Sektor Keuangan,” J. Akunt. Bisnis, vol. 11, no. 2, pp. 99–110, 2018, doi: 10.30813/jab.v11i2.1382.
I. Dan, T. Intech, I. Sulistiani, E. Mufida, P. M. Yasser, and L. Alamsyah, “Systematic Literature Review : Bankruptcy Prediction Menggunakan Teknik Machine Learning dan Deep Learning,” vol. 2, no. 1, pp. 13–18, 2021.
F. Rozi, “Systematic Literature Review pada Analisis Prediktif dengan IoT: Tren Riset, Metode, dan Arsitektur,” J. Sist. Cerdas, vol. 3, no. 1, pp. 43–53, 2020, doi: 10.37396/jsc.v3i1.53.
E. Triandini, S. Jayanatha, A. Indrawan, G. Werla Putra, and B. Iswara, “Metode Systematic Literature Review untuk Identifikasi Platform dan Metode Pengembangan Sistem Informasi di Indonesia,” Indones. J. Inf. Syst., vol. 1, no. 2, p. 63, 2019, doi: 10.24002/ijis.v1i2.1916.
I. Larasati, A. N. Yusril, and P. Al Zukri, “Systematic Literature Review Analisis Metode Agile Dalam Pengembangan Aplikasi Mobile,” Sistemasi, vol. 10, no. 2, p. 369, 2021, doi: 10.32520/stmsi.v10i2.1237.
R. S. Sajjan and V. R. Ghorpade, “Ransomware attacks: Radical menace for cloud computing,” Proc. 2017 Int. Conf. Wirel. Commun. Signal Process. Networking, WiSPNET 2017, vol. 2018-January, no. May 2005, pp. 1640–1646, 2018, doi: 10.1109/WiSPNET.2017.8300039.
A. Murray, G. Begna, E. Nwafor, J. Blackstone, and W. Patterson, “Cloud Service Security & application vulnerability,” Conf. Proc. - IEEE SOUTHEASTCON, vol. 2015-June, no. June, 2015, doi: 10.1109/SECON.2015.7132979.
S. Bhattacharya and C. R. S. Kumar, “Ransomware: The CryptoVirus subverting cloud security,” 2017 Int. Conf. Algorithms, Methodol. Model. Appl. Emerg. Technol. ICAMMAET 2017, vol. 2017-January, pp. 1–6, 2017, doi: 10.1109/ICAMMAET.2017.8186691.
E. Suhartono, “Systematic Literatur Review ( SLR ): Metode , Manfaat , Dan Tantangan Learning Analytics Dengan Metode Data Mining di Dunia Pendidikan Tinggi,” J. Ilm. INFOKAM, vol. 13, no. 1, pp. 73–86, 2017.
A. Rahman and A. Qosim, “SISTEM CERDAS PENGELOMPOKAN MAHASISWA BERDASARKAN PREDIKSI PERFORMA BELAJAR DENGAN METODE CASE BASED REASONING,” J. Edik Inform. J. Edik Inform., vol. 8, no. 1, pp. 13–25, 2021.
J. Yun, J. Hur, Y. Shin, and D. Koo, “CLDSafe: An efficient file backup system in cloud storage against ransomware,” IEICE Trans. Inf. Syst., vol. E100D, no. 9, pp. 2228–2231, 2017, doi: 10.1587/transinf.2017EDL8052.
J. K. Lee, S. Y. Moon, and J. H. Park, “CloudRPS: a cloud analysis based enhanced ransomware prevention system,” J. Supercomput., vol. 73, no. 7, pp. 3065–3084, 2017, doi: 10.1007/s11227-016-1825-5.
