Privacy Protection and Trust in the Digital Era: A Systematic Review of Data Breach Impacts on SDG Progress
DOI:
https://doi.org/10.24246/ijiteb.812025.24-34Keywords:
Data Privacy, Digital Trust , Sustainable Development Goals (SDGs), Systematic Literature Review, Cybersecurity GovernanceAbstract
Objective – In the digital transformation era, the integrity of personal data has become essential for maintaining trust and ensuring the sustainability of digital services. This paper aims to systematically review how data privacy violations affect public trust and progress toward Sustainable Development Goals (SDGs), especially SDG 9 (infrastructure and innovation) and SDG 16 (strong institutions and justice). Methodology—This study adopts the Systematic Literature Review (SLR) approach based on Kitchenham’s framework. Relevant articles from 2021–2025 were retrieved from Scopus, IEEE, Springer, and ScienceDirect using a predefined search string aligned with PICOC. A total of 19,504 records were screened, and 36 high-quality studies were selected after applying inclusion/exclusion criteria and quality assessment tools (e.g., CASP, AMSTAR). Findings—The review reveals that sectors such as education, healthcare, and smart cities are increasingly adopting data protection technologies, including encryption, federated learning, differential privacy, and blockchain. However, many still face regulatory, infrastructural, and human literacy gaps. Breaches in personal data significantly reduce public trust, impair the exercise of digital rights, and pose ethical and operational risks for achieving SDGs. Limitations – The study is limited by the timeframe (2021–2025) and focuses primarily on peer-reviewed literature. Practical insights from developing countries may be underrepresented due to database indexing limitations. Contribution – This review contributes a cross-sectoral synthesis of technological and regulatory practices for data protection, identifies key challenges, and outlines a strategic roadmap for policymakers and technologists to integrate ethical data governance for sustainable digital futures.
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References
C. Calculli, A. M. D’Uggento, A. Labarile, and N. Ribecco, “Evaluating people’s awareness about climate changes and environmental issues: A case study,” J Clean Prod, vol. 324, Nov. 2021, doi: 10.1016/j.jclepro.2021.129244.
M. Zingmark and S. Iwarsson, “Case study on challenges in research with public partners: A personal data incident during recruitment for a survey study on ageing and housing,” BMC Res Notes, vol. 18, no. 1, p. 173, Apr. 2025, doi: 10.1186/s13104-025-07246-8.
C. Song, L. Chen, X. Wu, and Y. Li, “A Secure Data Sharing Model Utilizing Attribute-Based Signcryption in Blockchain Technology,” Sensors, vol. 25, no. 1, Jan. 2025, doi: 10.3390/s25010160.
L. Xia, D. T. Semirumi, and R. Rezaei, “A thorough examination of smart city applications: Exploring challenges and solutions throughout the life cycle with emphasis on safeguarding citizen privacy,” Sustain Cities Soc, vol. 98, Nov. 2023, doi: 10.1016/j.scs.2023.104771.
J. Cha, S. K. Singh, T. W. Kim, and J. H. Park, “Blockchain-empowered cloud architecture based on secret sharing for smart city,” Journal of Information Security and Applications, vol. 57, Mar. 2021, doi: 10.1016/j.jisa.2020.102686.
J. Yu, H. Xue, B. Liu, Y. Wang, S. Zhu, and M. Ding, “Gan-based differential private image privacy protection framework for the internet of multimedia things,” Sensors (Switzerland), vol. 21, no. 1, pp. 1–21, Jan. 2021, doi: 10.3390/s21010058.
N. Farag, A. Noë, D. Patrinos, and M. H. Zawati, “Mapping the Apps: Ethical and Legal Issues with Crowdsourced Smartphone Data using mHealth Applications,” Asian Bioeth Rev, vol. 16, no. 3, pp. 437–470, Jul. 2024, doi: 10.1007/s41649-024-00296-3.
M. Yang, T. Guo, T. Zhu, I. Tjuawinata, J. Zhao, and K. Y. Lam, “Local differential privacy and its applications: A comprehensive survey,” Apr. 01, 2024, Elsevier B.V. doi: 10.1016/j.csi.2023.103827.
A. Aljeraisy, M. Barati, O. Rana, and C. Perera, “Privacy Laws and Privacy by Design Schemes for the Internet of Things: A Developer’s Perspective,” Jun. 30, 2021, Association for Computing Machinery. doi: 10.1145/3450965.
V. Yunanda, I. G. A. Wiranata, Y. Agustin, R. Rohaini, and A. Zazili, “The Urgency of Establishing LPPDP as an Effort to Strengthen Personal Data Protection: A Comparison between Indonesia, Hong Kong and Singapore,” Jurnal Ilmiah Hukum dan Hak Asasi Manusia, vol. 4, no. 1, pp. 11–25, Jul. 2024, doi: 10.35912/jihham.v4i1.2962.
Y. Wanasiri, S. Tinggi, and M. Ppm, “Analysis of NIK Data Breaches and Their Implications for Achieving the SDGs in Indonesia: A Case Study and Policy Recommendations,” Records Management System Journal (RMSJ), vol. 03, no. 02, pp. 11–19, 2025.
B. Kitchenham and P. Brereton, “A systematic review of systematic review process research in software engineering,” 2013, Elsevier B.V. doi: 10.1016/j.infsof.2013.07.010.
I. van Ooijen, C. M. Segijn, and S. J. Opree, “Privacy Cynicism and its Role in Privacy Decision-Making,” Communic Res, vol. 51, no. 2, pp. 146–177, Mar. 2024, doi: 10.1177/00936502211060984.
R. R. Krishna, A. Priyadarshini, A. V. Jha, B. Appasani, A. Srinivasulu, and N. Bizon, “State-of-the-art review on IoT threats and attacks: Taxonomy, challenges and solutions,” Aug. 02, 2021, MDPI. doi: 10.3390/su13169463.
J. Pool, S. Akhlaghpour, F. Fatehi, and A. Burton-Jones, “A systematic analysis of failures in protecting personal health data: A scoping review,” Feb. 01, 2024, Elsevier Ltd. doi: 10.1016/j.ijinfomgt.2023.102719.
R. Al-Huthaifi, T. Li, W. Huang, J. Gu, and C. Li, “Federated learning in smart cities: Privacy and security survey,” Inf Sci (N Y), vol. 632, pp. 833–857, Jun. 2023, doi: 10.1016/j.ins.2023.03.033.
N. Truong, K. Sun, S. Wang, F. Guitton, and Y. K. Guo, “Privacy preservation in federated learning: An insightful survey from the GDPR perspective,” Comput Secur, vol. 110, Nov. 2021, doi: 10.1016/j.cose.2021.102402.
R. Gao et al., “Legal regulation of AI-assisted academic writing: challenges, frameworks, and pathways,” 2025, Frontiers Media SA. doi: 10.3389/frai.2025.1546064.
C. Tschider, M. C. Compagnucci, and T. Minssen, “The new EU-US data protection framework’s implications for healthcare,” J Law Biosci, vol. 11, no. 2, Jul. 2024, doi: 10.1093/jlb/lsae022.
T. Kreutzer et al., “Ethical implications related to processing of personal data and artificial intelligence in humanitarian crises: a scoping review,” BMC Med Ethics, vol. 26, no. 1, Dec. 2025, doi: 10.1186/s12910-025-01189-2.
A. Choudhury et al., “Advancing Privacy-Preserving Health Care Analytics and Implementation of the Personal Health Train: Federated Deep Learning Study,” JMIR AI, vol. 4, 2025, doi: 10.2196/60847.
H. Zhang et al., “The impact of information technology applications on the quality of life of disabled older adults in nursing homes in China: a qualitative study,” Front Public Health, vol. 13, 2025, doi: 10.3389/fpubh.2025.1560306.
A. Almalawi, A. I. Khan, F. Alsolami, Y. B. Abushark, and A. S. Alfakeeh, “Managing Security of Healthcare Data for a Modern Healthcare System,” Sensors, vol. 23, no. 7, Apr. 2023, doi: 10.3390/s23073612.
A. A. Khan, A. A. Laghari, A. A. Shaikh, M. A. Dootio, V. V. Estrela, and R. T. Lopes, “A blockchain security module for brain-computer interface (BCI) with Multimedia Life Cycle Framework (MLCF),” Neuroscience Informatics, vol. 2, no. 1, p. 100030, Mar. 2022, doi: 10.1016/j.neuri.2021.100030.
Z. Zuo, M. Watson, D. Budgen, R. Hall, C. Kennelly, and N. Al Moubayed, “Data anonymization for pervasive health care: Systematic literature mapping study,” Oct. 01, 2021, JMIR Publications Inc. doi: 10.2196/29871.
N. Martinez-Martin, H. T. Greely, and M. K. Cho, “Ethical development of digital phenotyping tools for mental health applications: Delphi study,” JMIR Mhealth Uhealth, vol. 9, no. 7, Jul. 2021, doi: 10.2196/27343.
K. Semyonov-Tal, “Keeping medical information safe and confidential: a qualitative study on perceptions of Israeli physicians,” Isr J Health Policy Res, vol. 13, no. 1, p. 54, Dec. 2024, doi: 10.1186/s13584-024-00641-9.
L. Swales, A. Gooden, and D. Thaldar, “The anatomy of a data transfer agreement for health research,” 2024, Frontiers Media SA. doi: 10.3389/fphar.2024.1332700.
E. Kapassa, M. Themistocleous, K. Christodoulou, and E. Iosif, “Blockchain application in internet of vehicles: Challenges, contributions and current limitations,” Dec. 01, 2021, MDPI. doi: 10.3390/fi13120313.
D. Ahamad, S. Alam Hameed, and M. Akhtar, “A multi-objective privacy preservation model for cloud security using hybrid Jaya-based shark smell optimization,” Journal of King Saud University - Computer and Information Sciences, vol. 34, no. 6, pp. 2343–2358, Jun. 2022, doi: 10.1016/j.jksuci.2020.10.015.
M. Poongodi et al., “5G based Blockchain network for authentic and ethical keyword search engine,” IET Communications, vol. 16, no. 5, pp. 442–448, Mar. 2022, doi: 10.1049/cmu2.12251.
M. K. Hasan et al., “Lightweight Cryptographic Algorithms for Guessing Attack Protection in Complex Internet of Things Applications,” Complexity, vol. 2021, 2021, doi: 10.1155/2021/5540296.
A. A. Khan, A. A. Laghari, A. A. Shaikh, M. A. Dootio, V. V. Estrela, and R. T. Lopes, “A blockchain security module for brain-computer interface (BCI) with Multimedia Life Cycle Framework (MLCF),” Neuroscience Informatics, vol. 2, no. 1, p. 100030, Mar. 2022, doi: 10.1016/j.neuri.2021.100030.
Y. Wen, B. Liu, M. Ding, R. Xie, and L. Song, “IdentityDP: Differential private identification protection for face images,” Neurocomputing, vol. 501, pp. 197–211, Aug. 2022, doi: 10.1016/j.neucom.2022.06.039.
F. Öhman, J. Hassenstab, D. Berron, M. Schöll, and K. V. Papp, “Current advances in digital cognitive assessment for preclinical Alzheimer’s disease,” 2021, John Wiley and Sons Inc. doi: 10.1002/dad2.12217.
M. R. Naeem et al., “Harnessing AI and analytics to enhance cybersecurity and privacy for collective intelligence systems,” PeerJ Comput Sci, vol. 10, 2024, doi: 10.7717/peerj-cs.2264.
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