The current global cybersecurity landscape, characterized by the increasing scale and sophistication of cyberattacks, underscores the importance of integrating Cyber Threat Intelligence (CTI) into Land Administration Systems (LAS). LAS services involve requests and responses concerning public and private cadastral data, including credentials of parties, ownership, and spatial parcels. This study explores the integration of CTI in LAS to enhance cyber resilience, focusing on the unique vulnerabilities of LAS, such as sensitive data management and interconnection with other critical systems related to spatial data uses and changes. The approach employs a case study of a typical country-specific LAS to analyse structured vulnerabilities and their attributes to determine the degree of vulnerability of LAS through a quantitative inductive approach. The analysis results indicate significant improvements in identifying and mitigating potential threats through CTI integration, thus enhancing cyber resilience. These findings are crucial for policymakers and practitioners to develop robust cybersecurity strategies for LAS.
KeywordsCyber Threat IntelligenceCommon Vulnerabilities and ExposuresGeodataLand Administration SystemsRisk AssessmentSpatial Cadastral Data
United Nations (2022) United Nations Economic Commission for Europe Scenario Study on Future Land Administration in the UNECE Region.
FAO, UNECE, FIG, Bennett, R., Stöcker, C. and Asiama, K. (2022) Digital Transformation and Land Administration. FAO, UNECE (United Nations Economic Commission for Europe).
Saeed, S., Suayyid, S.A., Al-Ghamdi, M.S., Al-Muhaisen, H. and Almuhaideb, A.M. (2023) A Systematic Literature Review on Cyber Threat Intelligence for Organizational Cybersecurity Resilience. Sensors , 23, Article 7273. https://doi.org/10.3390/s23167273
Sahrom Abu, M., Rahayu Selamat, S., Ariffin, A. and Yusof, R. (2018) Cyber Threat Intelligence—Issue and Challenges. Indonesian Journal of Electrical Engineering and Computer Science , 10, 371-379. https://doi.org/10.11591/ijeecs.v10.i1.pp371-379
Salvi, A., Spagnoletti, P. and Noori, N.S. (2022) Cyber-Resilience of Critical Cyber Infrastructures: Integrating Digital Twins in the Electric Power Ecosystem. Computers & Security , 112, Article ID: 102507. https://doi.org/10.1016/j.cose.2021.102507
Samtani, S., Zhao, Z. and Krishnan, R. (2023) Secure Knowledge Management and Cybersecurity in the Era of Artificial Intelligence. Information Systems Frontiers , 25, 425-429. https://doi.org/10.1007/s10796-023-10372-y
Berady, A., Tong, V.V.T., Guette, G. and Jaume, M. (2021) Caractérisation Tactique d’un Attaquant Évoluant Dans Un Réseau Compromis. Journée thématique du GT SSLR . https://gtsslr21-reseau.sciencesconf.org/353075
Alaeifar, P., Pal, S., Jadidi, Z., Hussain, M. and Foo, E. (2024) Current Approaches and Future Directions for Cyber Threat Intelligence Sharing: A Survey. Journal of Information Security and Applications , 83, Article ID: 103786. https://doi.org/10.1016/j.jisa.2024.103786
Aljuhami, A.M. and Bamasoud, D.M. (2021) Cyber Threat Intelligence in Risk Management. International Journal of Advanced Computer Science and Applications , 12, 156-164. https://doi.org/10.14569/ijacsa.2021.0121018
Saxena, R. and Gayathri, E. (2022) Cyber Threat Intelligence Challenges: Leveraging Blockchain Intelligence with Possible Solution. Materials Today : Proceedings , 51, 682-689. https://doi.org/10.1016/j.matpr.2021.06.204
Li, J. (2018) Cyber Security Meets Artificial Intelligence: A Survey. Frontiers of Information Technology & Electronic Engineering , 19, 1462-1474. https://doi.org/10.1631/fitee.1800573
Blin, P., Aditya, T., Santosa, P.B. and Claramunt, C. (2023) A Methodological Approach Towards Cyber Risk Management in Land Administrations Systems. Land , 13, Article 19. https://doi.org/10.3390/land13010019
Skytterholm, A.N. and Jaatun, M.G. (2023) Exploring the Need for a CERT for the Norwegian Construction Sector. In: Onwubiko, C., et al ., Eds., Proceedings of the International Conference on Cybersecurity , Situational Awareness and Social Media , Springer, 57-73.
Sholihah, I.M., Setiawan, H. and Nabila, O.G. (2021) Design and Development of Information Sharing and Analysis Center (ISAC) as an Information Sharing Platform. 2021 Sixth International Conference on Informatics and Computing ( ICIC ), Jakart 3-4 November 2021, 1-6. https://doi.org/10.1109/icic54025.2021.9632989
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, 23-32. https://doi.org/10.56706/ik.v16i1.39
Wallis, T. and Leszczyna, R. (2022) EE-ISAC—Practical Cybersecurity Solution for the Energy Sector. Energies , 15, Article 2170. https://doi.org/10.3390/en15062170
(2024) IBM X-Force Threat Intelligence Index 2024 Synthèse. https://www.ibm.com/downloads/cas/XQMYXR4A
Australian Signals Directorate (ASD) and Australian Cyber Security Centre (ACSC) (2022) Annual Cyber Threat Report 2022.
Halima Ibrahim, K. (2024) Cyber Threat Intelligence for Improving Cybersecurity and Risk Management in Critical Infrastructure. https://www.jucs.org/jucs_25_11/cyber_threat_intelligence_for/jucs_25_11_1478_1502_kure.pdf
Khafian, N. (2023) The Role of Collaborative Governance in Indonesian Disaster Management. Journal of Governance and Administrative Reform , 4, 158-175. https://doi.org/10.20473/jgar.v4i2.53367
Singh, G.P., Bharti, V. and Hooda, M.K. (2022) An Analysis of Common Vulnerabilities and Exposures in View of MITRE ATT&CK. Asian Journal of Convergence in Technology , 8, 15-17. https://doi.org/10.33130/ajct.2022v08i02.004
Machalewski, T., Szymanek, M., Czubak, A. and Turba, T. (2024) Expressing Impact of Vulnerabilities: An Expert-Filled Dataset and Vector Changer Framework for Modelling Multistage Attacks, Based on Cve, Cvss and Cwe. ECMS 2024 Proceedings , Cracow, 4-7 June 2024, 569-578. https://doi.org/10.7148/2024-0569
Jacobs, J., Romanosky, S., Edwards, B., Adjerid, I. and Roytman, M. (2021) Exploit Prediction Scoring System (EPSS). Digital Threats : Research and Practice , 2, 1-17. https://doi.org/10.1145/3436242
Jahani Chehrehbargh, F., Rajabifard, A., Atazadeh, B. and Steudler, D. (2024) Current Challenges and Strategic Directions for Land Administration System Modernisation in Indonesia. Journal of Spatial Science , 69, 1097-1129. https://doi.org/10.1080/14498596.2024.2360531
Yagi, S., Tsuchikawa, K. and Tsuji, K. (2024) A Heatmap-Based Visualization Technique for Finding Operational Problems. https://discovery.researcher.life/article/a-heatmap-based-visualization-technique-for-finding-operational-problems/8c5461b514c13bd6bcff6aff0ca3c296
Aditya, T. (2023) Visualizing Title Uncertainty and Quality Issues in the Digital Era of Land Administration. https://fig.net/resources/proceedings/fig_proceedings/7_2023/papers/se02/SE02_aditya_12363.pdf
Sakellariou, G., Fouliras, P., Mavridis, I. and Sarigiannidis, P. (2022) A Reference Model for Cyber Threat Intelligence (CTI) Systems. Electronics , 11, Article 1401. https://doi.org/10.3390/electronics11091401
Wilhoit, K. and Opacki, J. (2022) Operationalizing Threat Intelligence: A Guide to Developing and Operationalizing Cyber Threat Intelligence Programs. Packt Publishing Ltd.
Teichmann, F.M. and Boticiu, S.R. (2024) Cyber Threat Intelligence: Existing Benefits and Challenges for Law Firms and Businesses. International Cybersecurity Law Review , 5, 491-499. https://doi.org/10.1365/s43439-024-00117-1
Valdés Ríos, V., Zaidi, F., Cavalli, A.R. and Rego, A. (2024) Towards the Adoption of Automated Cyber Threat Intelligence Information Sharing with Integrated Risk Assessment. Proceedings of the 19 th International Conference on Availability , Reliability and Security , Vienna, 30 July-2 August 2024, 1-9. https://doi.org/10.1145/3664476.3670444
Hank, S.W. (2024) Transforming Unstructured Data Sources into Structured Cyber Threat Intelligence. https://medium.shawnhank.com/transforming-unstructured-data-sources-into-structured-cyber-threat-intelligence-415b23b67bc5
Jo, H., Lee, Y. and Shin, S. (2022) Vulcan: Automatic Extraction and Analysis of Cyber Threat Intelligence from Unstructured Text. Computers & Security , 120, Article ID: 102763. https://doi.org/10.1016/j.cose.2022.102763
Jacobs, J., Romanosky, S., Adjerid, I. and Baker, W. (2020) Improving Vulnerability Remediation through Better Exploit Prediction. Journal of Cybersecurity , 6, tyaa015. https://doi.org/10.1093/cybsec/tyaa015
Li, L., Huang, C. and Chen, J. (2024) Automated Discovery and Mapping Att&ck Tactics and Techniques for Unstructured Cyber Threat Intelligence. Computers & Security , 140, Article ID: 103815. https://doi.org/10.1016/j.cose.2024.103815
Ramsdale, A., Shiaeles, S. and Kolokotronis, N. (2020) A Comparative Analysis of Cyber-Threat Intelligence Sources, Formats and Languages. Electronics , 9, Article 824. https://doi.org/10.3390/electronics9050824
Jacobs, J. and Romanosky, S. (2024) Probability, Percentiles, and Binning—How to Understand and Interpret EPSS Scores. https://www.first.org/epss/articles/prob_percentile_bins
Lee, J. and Kang, M. (2015) Geospatial Big Data: Challenges and Opportunities. Big Data Research , 2, 74-81. https://doi.org/10.1016/j.bdr.2015.01.003
Bennett, R.M., Unger, E., Lemmen, C. and Dijkstra, P. (2021) Land Administration Maintenance: A Review of the Persistent Problem and Emerging Fit-For-Purpose Solutions. Land , 10, Article 509. https://doi.org/10.3390/land10050509
Roccia, T. (2023) Visual Threat Intelligence: An Illustrated Guide for Threat Researchers. Independently Published.
Irwin, D. and Mandel, D.R. (2019) Improving Information Evaluation for Intelligence Production. Intelligence and National Security , 34, 503-525. https://doi.org/10.1080/02684527.2019.1569343
Irwin, D. and Mandel, D.R. (2019) Improving Information Evaluation for Intelligence Production. Intelligence and National Security , 34, 503-525. https://doi.org/10.1080/02684527.2019.1569343
Blin, P.-F. (2025) Proactive Cybersecurity for Spatial Cadastral Data of Land Administration System. Ph.D. Thesis, Universitas Gadjah Mada.