Comparative Study of Data Security: Cloud Storage and Local Storage in Technology Companies
DOI:
https://doi.org/10.56861/inheriten.v1i1.10Keywords:
Cloud Storage; Local Storage; Data Security; Hybrid Model; Local-First Architecture; Cybersecurity; Access Control; Scalability; PerformanceAbstract
In the era of digital transformation, data security has become a top priority for technology companies. This study presents a comparative analysis of cloud storage and local storage, emphasizing their respective security implications. Cloud storage offers scalability, remote accessibility, and cost-efficiency but raises concerns related to data control and vulnerability to cyber threats. Conversely, local storage provides direct data governance and enhanced access speed, albeit at the cost of limited scalability and higher infrastructure investment. Through literature analysis and synthesis of current research, the study identifies hybrid and local-first storage models as viable alternatives to balance security, performance, and scalability. The findings highlight that the best strategy for technology enterprises lies in adopting a risk-based approach to storage architecture that integrates strong security protocols, real-time control mechanisms, and infrastructure optimization.
References
Aguru, A., Mahadevan, R., Babu, E., Kaluri, R., Bashir, A., & Gadekallu, T. (2024). Scs: a secure cloud storage framework with enhanced integrity and auditability using consortium blockchain system.. https://doi.org/10.21203/rs.3.rs-3926696/v1
Alizadeh, H. and Karimpour, J. (2014). Analysis of quality of service in cloud storage systems. International Journal in Foundations of Computer Science & Technology, 4(6), 71-77. https://doi.org/10.5121/ijfcst.2014.4607
Alotaibi, S., Alomair, H., & Elhussein, M. (2019). Comparing Performance of Commercial Cloud Storage Systems: The Case of Dropbox and One Drive. International Conference on Computer and Information Sciences, 1–5. https://doi.org/10.1109/ICCISCI.2019.8716385
Anggraeni, SF (2018). POLEMIC OF PERSONAL DATA OWNERSHIP REGULATION: URGENCY FOR HARMONIZATION AND LEGAL REFORM IN INDONESIA. Journal of Law & Development, 48(4), 814. https://doi.org/10.21143/jhp.vol48.no4.1804
Asaad, R.R., & Saeed, V.A. (2022). A Cyber Security Threats, Vulnerabilities, Challenges and Proposed Solutions. Applied Computing Journal, 227. https://doi.org/10.52098/acj.202260
Asniar, A., & Sari, SK (2015). Utilization of Cloud Computing for Enterprise Resources Planning in Indonesia. INFOTEL JOURNAL, 7(1), 75. https://doi.org/10.20895/infotel.v7i1.33
Assyakurrohim, D., Ikhram, D., Sirodj, RA, & Afgani, MW (2022). Case Study Method in Qualitative Research. Journal of Science and Computer Education, 3(1), 1. https://doi.org/10.47709/jpsk.v3i01.1951
Author1, & Author2. (20 CE). Article Title.
Aziz, K. and Mahmood, B. (2022). Assured data deletion in cloud computing: security analysis and requirements. Indonesian Journal of Electrical Engineering and Computer Science, 28(2), 1174. https://doi.org/10.11591/ijeecs.v28.i2.pp1174-1183
Brilliana, FW (2022). Analysis of the Implementation of the Judicial Commission's Authority in Wiretapping Reviewed from the Concept of Al-Ḍararu Yuzālu Biqodri Al-Imkān. Journal of Indonesian Comparative of Syari Ah Law, 5(2), 187. https://doi.org/10.21111/jicl.v5i2.7684
Building a Fast and Efficient LSM-tree Store by Integrating Local Storage with Cloud Storage. (2022). ACM Transactions on Architecture and Code Optimization, 19(3), 1–26. https://doi.org/10.1145/3527452
Chintia, E., Nadiah, R., Ramadhani, HN, Haedar, ZF, Febriansyah, A., & Kom, M. (2019). The Most Common Cybercrime Cases in Indonesia and Their Handling. Journal of Information Engineering and Educational Technology, 2(2), 65. https://doi.org/10.26740/jieet.v2n2.p65-69
Commey, D., Griffith, S., & Dzisi, J. (2020). Performance comparison of 3DES, AES, Blowfish and RSA for Dataset Classification and Encryption in Cloud Data Storage. International Journal of Computer Applications, 177(40), 17. https://doi.org/10.5120/ijca2020919897
Daher, Z., & Hajjdiab, H. (2018). Cloud Storage Comparative Analysis Amazon Simple Storage vs. Microsoft Azure Blob Storage. International Journal of Machine Learning and Computing, 8(1), 85–89. https://doi.org/10.18178/IJMLC.2018.8.1.668
Dawood, M., Tu, S., Xiao, C., Alasmary, H., Waqas, M., & Rehman, S.U. (2023). Cyberattacks and Security of Cloud Computing: A Complete Guideline. Symmetry, 15(11), 1981. https://doi.org/10.3390/sym15111981
El-Booz, S., Attiya, G., & El‐Fishawy, N. (2016). A secure cloud storage system combining time-based one-time password and automatic blocker protocol. Eurasip Journal on Information Security, 2016(1). https://doi.org/10.1186/s13635-016-0037-0
Eyers, D., Routray, R., Zhang, R., Willcocks, D., & Pietzuch, P. (2011). Configuring large‐scale storage using a middleware with machine learning. Concurrency and Computation Practice and Experience, 23(17), 2063-2077. https://doi.org/10.1002/cpe.1716
Fauziah, IS, & Apriani, R. (2021). Legal Review of Protection of Banking Customers Using Internet Banking Services. Face of Law, 5(2), 500. https://doi.org/10.33087/wjh.v5i2.557
Feng, Q., Han, J., Gao, Y., & Meng, D. (2012). Magicube: high reliability and low redundancy storage architecture for cloud computing.. https://doi.org/10.1109/nas.2012.15
Gao, G., Fei, H., & Qin, Z. (2020). An efficient certificateless public auditing scheme in cloud storage. Concurrency and Computation Practice and Experience, 32(24). https://doi.org/10.1002/cpe.5924
Gavali, V. N., More, R. P., & Potdukhe, S. D. (2014). A Review on Cloud Storage Performance to Improve File Accessing Efficiency. International Journal of Engineering Research and Technology, 3(11). https://www.ijert.org/research/a-review-on-cloud-storage-performance-to-improve-file-accessing-efficiency-IJERTV3IS110745.pdf
Goncalves, G., Vieira, A. B., & Almeida, J. M. (2018). On the Cost-Benefit Tradeoffs of Cloud Storage Services for End Users and Service Providers. https://doi.org/10.5753/SBRC_ESTENDIDO.2018.14186
Gudimetla, S. (2024). Data encryption in cloud storage. International Research Journal of Modernization in Engineering Technology and Science. https://doi.org/10.56726/irjmets50637
Haoran, W., Tong, W., Gao, Q., & Zheng, S. (2015). A data deduplication method in the cloud storage based on fp-tree., 557-562. https://doi.org/10.1109/iccsnt.2015.7490809
Haryani, P., Ariyana, R. Y., Majid, I. A., & Susanto, Fx. G. P. (2024). Comparative Analysis of Nextcloud and Owncloud Performance as Infrastructure as a Service (IaaS) Based Cloud Storage. Compiler, 13(2), 73. https://doi.org/10.28989/compiler.v13i2.2667
Heo, H., Ahn, C., & Kim, D. (2016). Parity data de-duplication in all flash array-based openstack cloud block storage. Ieice Transactions on Information and Systems, E99.D(5), 1384-1387. https://doi.org/10.1587/transinf.2016edl8006
Herdiana, Y., Munawar, Z., & Putri, NI (2021). Mitigating Cybersecurity Risk Threats During the Covid-19 Pandemic. Journal of ICT Information Communication & Technology, 20(1), 42. https://doi.org/10.36054/jict-ikmi.v20i1.305
Huang, P., Fan, K., Yang, H., Zhang, K., Li, H., & Yang, Y. (2020). A collaborative auditing blockchain for trustworthy data integrity in cloud storage system. Ieee Access, 8, 94780-94794. https://doi.org/10.1109/access.2020.2993606
I. Samy, O. O. Koyluoglu and A. S. Rawat, "Efficient data access in hybrid cloud storage," 2017 55th Annual Allerton Conference on Communication, Control, and Computing (Allerton), Monticello, IL, USA, 2017, pp. 1-8, doi: 10.1109/ALLERTON.2017.8262711. keywords: {Cloud computing;Maintenance engineering;Bandwidth;Encoding;Business;Servers;Electronic mail},
Idellie, PL, & Atok, RM (2023). Cyber Loss Distribution Modeling with Copula Approach and Cyber Insurance Premium Calculation. ITS Science and Arts Journal, 12(1). https://doi.org/10.12962/j23373520.v12i1.97479
J. E, Y. Cui, M. Ruan, Z. Li and E. Zhai, "HyCloud: Tweaking Hybrid Cloud Storage Services for Cost-Efficient Filesystem Hosting," IEEE INFOCOM 2019 - IEEE Conference on Computer Communications, Paris, France, 2019, pp. 2341-2349, doi: 10.1109/INFOCOM.2019.8737399. keywords: {Cloud computing;Data transfer;Relays;Encoding;Computer science;Benchmark testing;Metadata},
Jeevitha, B. K., Thriveni, J., & Venugopal, K. R. (2016). Data Storage Security and Privacy in Cloud Computing: A Comprehensive Survey. International Journal of Computer Applications, 156(12), 16. https://doi.org/10.5120/ijca2016912513
Jiang, G. and Zhang, Q. (2017). Adaptive multi-copy layout algorithm based on mass storage system. Advances in Modelling and Analysis B, 60(2), 469-492. https://doi.org/10.18280/ama_b.600215
Kanatt, S., Talwar, P., & Jadhav, A. (2020). Review of Secure File Storage on Cloud using Hybrid Cryptography. International Journal of Engineering Research And, 2. https://doi.org/10.17577/ijertv9is020014
Kang, S., Veeravalli, B., Aung, K., & Jin, C. (2014). An efficient scheme to ensure data availability for a cloud service provider., 15-20. https://doi.org/10.1109/bigdata.2014.7004378
Kanumuri, S. (2024). Cloud Storage Cost Optimization: Advanced Techniques and Case Studies. https://doi.org/10.47363/jaicc/2024(3)250
Kulkarni, G., Waghmare, R., Palwe, R., Waykule, V., Bankar, H., & Koli, K. (2012). Cloud storage architecture. 76. https://doi.org/10.1109/tssa.2012.6366026
Kumar, M. and Nagalakshmi, P. (2019). Security issues of cloud computing - a survey. International Journal of Research in Advent Technology, 7(5), 316-322. https://doi.org/10.32622/ijrat.752019108
Latifah, E., & Abdullah, R. (2024). PRINCIPLES OF ISLAMIC ECONOMICS IN SHARIA FINANCIAL MANAGEMENT. Journal of International Development Economics., 2(2), 98. https://doi.org/10.62668/jide.v2i02.1186
Li, W., Yang, Y., & Yuan, D. (2016). Ensuring cloud data reliability with minimum replication by proactive replica checking. Ieee Transactions on Computers, 65(5), 1494-1506. https://doi.org/10.1109/tc.2015.2451644
Li, Y., Guo, K., Wang, X., Soljanin, E., & Woo, T. (2015). Sears: space efficient and reliable storage system in the cloud.. https://doi.org/10.1109/lcn.2015.7366342
Liu, Hongtao. (2024). Optimization and performance improvement of distributed data storage in hybrid storage systems. World Journal of Advanced Engineering Technology and Sciences, 2024, 13(01), 459–467. 10.30574/wjaets.2024.13.1.0443.
Mahendar, A. and Chatrapati, K. (2015). Mutual trust to provide data security in cloud computing and outsourced databases. Journal of Technological Advances and Scientific Research, 1(2), 75-82. https://doi.org/10.14260/jtasr/2015/10
Malaiyappan, J. N. A., Shanmugam, L., Thirunavukkarasu, K., & Mohamed, I. A. (2024). Scalable Distributed Storage Systems: Comparative Study of Key Technologies. International Journal For Multidisciplinary Research. https://doi.org/10.36948/ijfmr.2024.v06i02.16338
Mandava, L. and Xing, L. (2017). Reliability analysis of cloud-raid 6 with imperfect fault coverage. IJPE. https://doi.org/10.23940/ijpe.17.03.p5.289297
Niu, X. (2017). Fine-grained access control scheme based on cloud storage., 512-515. https://doi.org/10.1109/iccnea.2017.48
O’Neill, V. and Soh, B. (2023). Spot market cloud orchestration using task-based redundancy and dynamic costing. Future Internet, 15(9), 288. https://doi.org/10.3390/fi15090288
Paryati, P. (2015). INFORMATION SYSTEM SECURITY. National Informatics Seminar (SEMNASIF), 1(4). http://jurnal.upnyk.ac.id/index.php/semnasif/article/download/743/621
Peng, J. (2014). A new model of data protection on cloud storage. Journal of Networks, 9(3). https://doi.org/10.4304/jnw.9.3.666-671
Pratiwi, AOS, & Sari, NR (2019). ABOVE THERAPY: GUIDANCE AND COUNSELING SERVICE SOLUTION TO PREVENT DELINQUENT BEHAVIOR IN ISLAMIC HIGH SCHOOL STUDENTS. AR-RAHMAN GUIDANCE AND COUNSELING JOURNAL, 5(1), 55. https://doi.org/10.31602/jbkr.v5i1.1840
Rahman, I., Sahrul, S., Mayasari, RE, Nurapriyanti, T., & Yuliana, Y. (2023). Consumer Protection Law in the E-Commerce Era: Navigating Consumer Protection Challenges in the Digital Trading Environment. Journal of Law and Human Rights Wara Sains, 2(8), 704. https://doi.org/10.58812/jhhws.v2i08.605
Rodrigues, J., Ferreira, B., & Domingos, H. (2013). Tms., 1-6. https://doi.org/10.1145/2541608.2541610
Rutania, Y., & Ganggi, RIP (2021). Personal Information Management Behavior of Digital Documents of Lectures in Library Science Students at Diponegoro University. Anuva Journal of Library and Information Culture Studies, 5(2), 199. https://doi.org/10.14710/anuva.5.2.199-212
Saputra, LA, Akbar, FM, Cahyaningtias, F., Ningrum, MP, & Fauzi, A. (2023). Security Threats to Corporate Management Information Systems. Nusantara Cyber Education Journal, 1(2), 58. https://doi.org/10.38035/jpsn.v1i2.48
Setiawan, MCA, Ginting, GKN, & Ilmar, A. (2020). The Relationship Between Identity Politics and Trade Protectionism under the Donald Trump Administration. Journal of Political Issues, 2(1), 58. https://doi.org/10.33019/jpi.v2i1.32
Sheela, M. (2022). Robust key revelation of public auditing prototype for secure cloud storage. Interantional Journal of Scientific Research in Engineering and Management, 06(02). https://doi.org/10.55041/ijsrem11717
Shengbin, W. (2020). Analysis of Big Data Cloud Storage Technology Based on Information Fusion Technology. https://doi.org/10.23977/iccia2020050
Shi, Y. (2018). Data Security and Privacy Protection Data Security and Privacy Protection in Public Cloud. arXiv (Cornell University). https://doi.org/10.48550/arxiv.1812.05745
Shyamala, D. and S., F. (2015). Enhanced intensive indexing (i2d) de-duplication for space optimization in private cloud storage backup. International Journal of Computer Theory and Engineering, 7(2), 113-119. https://doi.org/10.7763/ijcte.2015.v7.941
Song, L., Wang, T., Zhang, L., & Song, X. (2015). Research and application of redundant data deleting algorithm based on the cloud storage platform. The Open Cybernetics & Systemics Journal, 9(1), 50-54. https://doi.org/10.2174/1874110x01509010050
Sreeramulu, M.D., (2024). Analysis of cloud computing and cloud storage in mobile forensics using the dematel method. cset, 2(2), 33-43. https://doi.org/10.46632/cset/2/2/4
Tudoran, R., Costan, A., & Antoniu, G. (2013). Datasteward: using dedicated compute nodes for scalable data management on public clouds.. https://doi.org/10.1109/trustcom.2013.129
Umar, R., Riadi, I., & Handoyo, E. (2019). Information System Security Analysis Based on COBIT 5 Framework Using Capability Maturity Model Integration (CMMI). JOURNAL OF BUSINESS INFORMATION SYSTEMS, 9(1), 47. https://doi.org/10.21456/vol9iss1pp47-54
Vimal, V. (2019). An efficient and secure query processing and indexing model for secure dynamic cloud storage. Turkish Journal of Computer and Mathematics Education (Turcomat), 10(2), 1043-1048. https://doi.org/10.17762/turcomat.v10i2.13623
Wu, J., Li, Y., Wang, T., & Ding, Y. (2019). Cpda: a confidentiality-preserving deduplication cloud storage with public cloud auditing. Ieee Access, 7, 160482-160497. https://doi.org/10.1109/access.2019.2950750
Xu, H. and Bhalerao, D. (2015). Reliable and secure distributed cloud data storage using reed-solomon codes. International Journal of Software Engineering and Knowledge Engineering, 25(09n10), 1611-1632. https://doi.org/10.1142/s0218194015400355
Xu, P., Zhao, N., Wan, J., Liu, W., Chen, S., Zhou, Y., … & Tan, Z. (2022). Building a fast and efficient lsm-tree store by integrating local storage with cloud storage. Acm Transactions on Architecture and Code Optimization, 19(3), 1-26. https://doi.org/10.1145/3527452
Xu, P., Zhao, N., Wan, J., Liu, W., Chen, S., Zhou, Y., … & Xie, C. (2021). Building a fast and efficient lsm-tree store by integrating local storage with cloud storage., 125-134. https://doi.org/10.1109/cluster48925.2021.00032
Yahya, F., Chang, V., Walters, R., & Wills, G. (2019). A security framework to protect data in cloud storage.. https://doi.org/10.5220/0007737603070314
Yang, C., Liu, Y., Tao, X., & Zhao, F. (2020). Publicly verifiable and efficient fine-grained data deletion scheme in cloud computing. Ieee Access, 8, 99393-99403. https://doi.org/10.1109/access.2020.2997351
Yang, C., Tao, X., & Zhao, F. (2019). Publicly verifiable data transfer and deletion scheme for cloud storage. International Journal of Distributed Sensor Networks, 15(10), 155014771987899. https://doi.org/10.1177/1550147719878999
Yang, S., Hareedy, A., Calderbank, R., & Dolecek, L. (2019). Hierarchical coding to enable scalability and flexibility in heterogeneous cloud storage.. https://doi.org/10.1109/globecom38437.2019.9014049
Yu, H., Cai, Y., & Kong, S. (2016). An efficient public auditing scheme for cloud storage server.. https://doi.org/10.2991/aest-16.2016.97
Zeng, W. and Zhao, Y. (2013). Mobile storage and data security management research. Applied Mechanics and Materials, 325-326, 1661-1664. https://doi.org/10.4028/www.scientific.net/amm.325-326.1661
Zhang, F., Xu, J., & Yang, G. (2023). Design of regenerating code based on security level in cloud storage system. Electronics, 12(11), 2423. https://doi.org/10.3390/electronics12112423
Zhang, G., Bao, W., Zhu, X., Zhao, W., & Yan, H. (2018). A server consolidation method with integrated deep learning predictor in local storage based clouds. Concurrency and Computation Practice and Experience, 30(23). https://doi.org/10.1002/cpe.4503
Zhang, W., Ma, C., Sha, W., & Zhou, Q. (2015). Research of data security in cloud storage.. https://doi.org/10.2991/iiicec-15.2015.192
Zhu, B., Shum, K., Li, H., & Hou, H. (2014). General fractional repetition codes for distributed storage systems. Ieee Communications Letters, 18(4), 660-663. https://doi.org/10.1109/lcomm.2014.030114.132694
Ács, S., Gergely, M., Kacsuk, P., & Kozlovszky, M. (2013). Block level storage support for open source iaas clouds., 262-268. https://doi.org/10.1109/pdp.2013.45
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