Search Results - acm: h.: information system/h.2: database management/h.2.0: general/h.2.0.0: security*

A conceptual meta-model for secured information systems

Authors: Lammari, Nadira Bucumi, Jean-Sylvain Akoka, Jacky et al.

Contributors: Lammari, Nadira Bucumi, Jean-Sylvain Akoka, Jacky et al.

Source: ICSE 2011 : 33rd International Conference on Software Engineering, 7th International Workshops on Software Engineering for Secure Systems (SESS 2011) ; https://hal.science/hal-01125862 ; ICSE 2011 : 33rd International Conference on Software Engineering, 7th International Workshops on Software Engineering for Secure Systems (SESS 2011), May 2011, Waikiki, Honolulu, Hawaii, United States. pp.22-28, ⟨10.1145/1988630.1988635⟩

Subject Terms: Model Driven Approach, Information System, Security, Sécurité, Système d'information, Approche Model Driven, ACM: H.: Information Systems/H.1: MODELS AND PRINCIPLES, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.0: General, ACM: D.: Software/D.4: OPERATING SYSTEMS/D.4.6: Security and Protection, [INFO]Computer Science [cs], [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB]

Subject Geographic: Waikiki, Honolulu, Hawaii, United States

Availability: https://hal.science/hal-01125862
https://doi.org/10.1145/1988630.1988635

Database Security: Ensuring That the Database Course can Serve Cybersecurity Students as Well as Traditional Computer Science Students.

Authors: Hawley, Douglas

Source: Proceedings of the International Conference on Cyber Warfare & Security; 2019, p116-122, 7p

1. American Heart Association. (2021). Heart disease and stroke statistics—2021 update. Circulation, 143(8), e254-e743. 2. Rahman, M., Al Amin, M., Hasan, R., Hossain, S. T., Rahman, M. H., & Rashed, R. A. M. (2025). A Predictive AI Framework for Cardiovascular Disease Screening in the US: Integrating EHR Data with Machine and Deep Learning Models. British Journal of Nursing Studies, 5(2), 40-48. 3. ZakirHossain, M., Khan, M. M., Thapa, S., Uddin, R., Meem, E. J., Niloy, S. K., ... & Bhavani, G. D. (2025, February). Advanced Deep Learning Techniques for Precision Diagnosis of Tea Leaf Diseases. In 2025 IEEE International Conference on Emerging Technologies and Applications (MPSec ICETA) (pp. 1-6). IEEE. 4. Chen, T., & Guestrin, C. (2016). XGBoost: A scalable tree boosting system. In Proceedings of the 22nd ACM SIGKDD international conference on knowledge discovery and data mining (pp. 785-794). ACM. 5. Damen, J. A., Hooft, L., Schuit, E., Debray, T. P., Collins, G. S., Tzoulaki, I., Lassale, C. M., Siontis, G. C., Chiocchia, V., Roberts, C., Schlüssel, M. M., Gerry, S., Black, J. A., Heus, P., van der Schouw, Y. T., Peelen, L. M., & Moons, K. G. (2016). Prediction models for cardiovascular disease risk in the general population: systematic review. BMJ, 353, i2416. 6. Framingham Heart Study. (1948). Framingham Heart Study cohort research data. National Heart, Lung, and Blood Institute. 7. Johnson, A. E., Pollard, T. J., Shen, L., Lehman, L. H., Feng, M., Ghassemi, M., Moody, B., Szolovits, P., Celi, L. A., & Mark, R. G. (2016). MIMIC-III, a freely accessible critical care database. Scientific Data, 3, 160035. 8. Krittanawong, C., Zhang, H., Wang, Z., Aydar, M., & Kitai, T. (2017). Artificial intelligence in precision cardiovascular medicine. Journal of the American College of Cardiology, 69(21), 2657-2664. 9. Lundberg, S. M., & Lee, S. I. (2017). A unified approach to interpreting model predictions. In Advances in Neural Information Processing Systems 30 (NIPS 2017) (pp. 4765-4774). 10. Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., Blondel, M., Prettenhofer, P., Weiss, R., Dubourg, V., Vanderplas, J., Passos, A., Cournapeau, D., Brucher, M., Perrot, M., & Duchesnay, É. (2011). Scikit-learn: Machine learning in Python. Journal of Machine Learning Research, 12, 2825–2830. 11. Shameer, K., Johnson, K. W., Glicksberg, B. S., Dudley, J. T., & Sengupta, P. P. (2018). Machine learning in cardiovascular medicine: are we there yet? Heart, 104(14), 1156-1164. 12. Steyerberg, E. W., Vergouwe, Y., & van Calster, B. (2019). Towards better clinical prediction models: seven steps for development and an ABCD for validation. European Heart Journal, 40(15), 1255–1264. 13. Sudlow, C., Gallacher, J., Allen, N., Beral, V., Burton, P., Danesh, J., Downey, P., Elliott, P., Green, J., Landray, M., Liu, B., Matthews, P., Ong, G., Pell, J., Silman, A., Young, A., Sprosen, T., Peakman, T., & Collins, R. (2015). UK biobank: an open access resource for identifying the causes of a wide range of complex diseases of middle and old age. PLOS Medicine, 12(3), e1001779. 14. Weng, S. F., Reps, J., Kai, J., Garibaldi, J. M., & Qureshi, N. (2017). Can machine-learning improve cardiovascular risk prediction using routine clinical data? PLOS ONE, 12(4), e0174944. 15. World Health Organization. (2021). Cardiovascular diseases (CVDs). Retrieved from https://www.who.int/news-room/fact-sheets/detail/cardiovascular-diseases-(cvds) 16. Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., Devin, M., Ghemawat, S., Irving, G., Isard, M., Kudlur, M., Levenberg, J., Monga, R., Moore, S., Murray, D. G., Steiner, B., Tucker, P., Vasudevan, V., Warden, P., ... Zheng, X. (2016). TensorFlow: A system for large-scale machine learning. In 12th USENIX symposium on operating systems design and implementation (OSDI 16) (pp. 265–283). 17. Chollet, F. (2015). Keras (Version 2.4.0) [Computer software]. https://github.com/fchollet/keras

Authors: Okunola, Abiodun

INFORMATION SECURITY AND RISK MANAGEMENT.

Authors: BODIN, LAWRENCE D. GORDON, LAWRENCE A. LOEB, MARTIN P.

Source: Communications of the ACM; Apr2008, Vol. 51 Issue 4, p64-68, 5p, 4 Charts

Subject Terms: RISK management in business, INFORMATION services security measures, COMPUTER security, DATA protection, SECURITY systems, ACCESS to information, DATA security, DATABASE security, DATABASE management

Security of Random Data Perturbation Methods.

Authors: Muralidhar, Krishnamurty Sarathy, Rathindra

Source: ACM Transactions on Database Systems; Dec99, Vol. 24 Issue 4, p487-493, 7p

Subject Terms: DATABASE security, ANALYSIS of covariance, DATABASES, PERTURBATION theory, DATABASE management, INFORMATION storage & retrieval systems

Security of Statistical Databases with an Output Perturbation Technique.

Authors: Adam, Nabil R. Jones, Douglas H.

Source: Journal of Management Information Systems; Summer89, Vol. 6 Issue 1, p101-110, 10p

Subject Terms: COMPUTERS in statistics, DATABASE security, PERTURBATION theory, DATABASE management, COMPUTER security, REGRESSION analysis, STATISTICAL services

Observations on big data concerning storage and security management.

Authors: Hasan, Mohammad Manzurul Ali, Shaulin Mahmood, Faisal Wazed et al.

Source: AIP Conference Proceedings; 2024, Vol. 2898 Issue 1, p1-8, 8p

Subject Terms: BIG data, DATABASES, DATA warehousing, DATABASE management, DATABASE security

Company/Entity: GOOGLE Inc.

Securing a Web-Based Hospital Management System Using a Combination of AES and HMAC.

Authors: Baban, Alaa B. Hameed, Safa A.

Source: Iraqi Journal for Electrical & Electronic Engineering; Jun2023, Vol. 19 Issue 1, p93-99, 7p

Subject Terms: IMAGE encryption, HOSPITAL administration, MESSAGE authentication codes, ADVANCED Encryption Standard, DATABASE management, DATABASE security, HOSPITALS, DATA privacy

Secure Database in Cloud Computing: CryptDB Revisited.

Authors: Dayıoğlu, Ziynet Nesibe Kiraz, Mehmet Sabir Birinci, Fatih et al.

Source: International Journal of Information Security Science; Mar2014, Vol. 3 Issue 1, p129-147, 19p

Subject Terms: CLOUD computing, DATABASE security, GOVERNMENT information, DATA encryption, DATABASE management, CRYPTOGRAPHY

Database Structuring in a Multi-Level Integrated GIS Project on Marine Ecology ; Организация базы данных для многоуровневого интегрального ГИС- проекта по морской экологии

Authors: Lemenkova, Polina Ocean University of China (OUC) South West State University et al.

Contributors: Lemenkova, Polina Ocean University of China (OUC) South West State University et al.

Source: Future Generation: Ideas of the Young Scientists ; https://hal.archives-ouvertes.fr/hal-02018891 ; Future Generation: Ideas of the Young Scientists, South West State University, Nov 2015, Kursk, Russia. pp.243-246, ⟨10.6084/m9.figshare.7210937⟩ ; https://elibrary.ru/item.asp?id=24992480

Subject Terms: GIS Geographic Information System, Geodata spatialization, Geodata discovery, Geodatabase, Marine ecology, GIS Data Modelling, ACM: H.: Information Systems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.0: Data mining, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.2: Scientific databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.3: Spatial databases and GIS, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.4: Statistical databases, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.1: Content Analysis and Indexing, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.2: Information Storage, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL/H.3.3: Information Search and Retrieval, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.0: General, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration/H.2.7.0: Data dictionary/directory, [SDU.OCEAN]Sciences of the Universe [physics]/Ocean, Atmosphere, [SDU.STU.OC]Sciences of the Universe [physics]/Earth Sciences/Oceanography, [SDU.STU.HY]Sciences of the Universe [physics]/Earth Sciences/Hydrology, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL]

Subject Geographic: Kursk, Russia

Relation: hal-02018891; https://hal.archives-ouvertes.fr/hal-02018891; https://hal.archives-ouvertes.fr/hal-02018891/document; https://hal.archives-ouvertes.fr/hal-02018891/file/Lemenkova_Kursk_Organizatsia.pdf

Availability: https://hal.archives-ouvertes.fr/hal-02018891
https://hal.archives-ouvertes.fr/hal-02018891/document
https://hal.archives-ouvertes.fr/hal-02018891/file/Lemenkova_Kursk_Organizatsia.pdf
https://doi.org/10.6084/m9.figshare.7210937

Linking Data Between the Worksheets and GIS Databases for Effective Management of the Environmental Projects

Authors: Lemenkova, Polina Ocean University of China (OUC) Al-Farabi Kazakh National University et al.

Contributors: Lemenkova, Polina Ocean University of China (OUC) Al-Farabi Kazakh National University et al.

Source: 3rd International Farabi Readings. 'Green Bridge Through Generations'
https://hal.archives-ouvertes.fr/hal-01973112
3rd International Farabi Readings. 'Green Bridge Through Generations', Al-Farabi Kazakh National University, Apr 2016, Almaty, Kazakhstan. pp.349-353, ⟨10.6084/m9.figshare.7210238⟩
http://greenbridgework.kaznu.kz/?page_id=238

Subject Terms: Data structures Computer Science, Data organization, Structural Analysis, Data management system, Data management, Data access, Data acquisition, Data manipulaiton, Table structure, Table Extraction, environmental measurement, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.3: Spatial databases and GIS, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.2: Scientific databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.0: Data mining, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.8: Database Applications/H.2.8.4: Statistical databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.0: General, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.3: Object-oriented databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.4: Systems/H.2.4.6: Relational databases, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.5: Heterogeneous Databases/H.2.5.0: Data translation, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.7: Database Administration, [INFO.INFO-HC]Computer Science [cs]/Human-Computer Interaction [cs.HC], [INFO.EIAH]Computer Science [cs]/Technology for Human Learning, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-DL]Computer Science [cs]/Digital Libraries [cs.DL], [INFO.INFO-DS]Computer Science [cs]/Data Structures and Algorithms [cs.DS], [INFO.INFO-IR]Computer Science [cs]/Information Retrieval [cs.IR], [INFO.INFO-TT]Computer Science [cs]/Document and Text Processing

Subject Geographic: Almaty, Kazakhstan

Relation: hal-01973112; https://hal.archives-ouvertes.fr/hal-01973112; https://hal.archives-ouvertes.fr/hal-01973112/document; https://hal.archives-ouvertes.fr/hal-01973112/file/Lemenkova_Almaty2016.pdf

Availability: https://hal.archives-ouvertes.fr/hal-01973112
https://hal.archives-ouvertes.fr/hal-01973112/document
https://hal.archives-ouvertes.fr/hal-01973112/file/Lemenkova_Almaty2016.pdf
https://doi.org/10.6084/m9.figshare.7210238

Maintaining Control While Delegating Trust: Integrity Constraints in Trust Management.

Authors: Etalle, Sandro Winsborough, William H.

Source: ACM Transactions on Information & System Security (TISSEC); 2009, Vol. 13 Issue 1, p5-5.27, 27p, 2 Charts

Subject Terms: THEORY of constraints, INFORMATION resources management, SECURITY management, SECURITY systems, COMPUTER software safety measures, PUBLIC key infrastructure (Computer security)

Security and Privacy of Patient Information in Medical Systems Based on Blockchain Technology.

Authors: HONGJIAO WU DWIVEDI, ASHUTOSH DHAR SRIVASTAVA, GAUTAM

Source: ACM Transactions on Multimedia Computing, Communications & Applications; 2021Supplement, Vol. 17 Issue 2s, p1-17, 17p

Subject Terms: INFORMATION storage & retrieval systems, DATA privacy, INFORMATION resources management, DATA transmission systems, ACCESS control, INFORMATION technology security, BLOCKCHAINS

Calendar of Events.

Source: Communications of the ACM; Sep76, Vol. 19 Issue 9, p531-537, 3p

Subject Terms: CONFERENCES & conventions, MEETINGS, MANAGEMENT information systems, DATABASE management, COMPUTER security, DATABASES

Intentional Resolution of Privacy Protection in Database Systems.

Authors: Minsky, Naftaly Morgan, H.

Source: Communications of the ACM; Mar1976, Vol. 19 Issue 3, p148-159, 12p, 6 Diagrams

Subject Terms: DATABASES, ACCESS control, COMPUTER security, SECURITY systems, COMPUTER files, INFORMATION resources management

A relational database integrity framework for access control policies.

Authors: Thion, Romuald Coulondre, Stéphane

Source: Journal of Intelligent Information Systems; Feb2012, Vol. 38 Issue 1, p131-159, 29p

Subject Terms: ACCESS control, SECURITY systems, DATABASE searching, LAW enforcement, INFORMATION services management

Survey on Cloud Database Security: Cryptographic Techniques, Intrusion Detection and Intelligent Defense Mechanisms.

Authors: Mahule, Rachana V. Jadhav, Sandeep M.

Source: EPJ Web of Conferences; 11/20/2025, Vol. 341, p1-13, 13p

Subject Terms: DATABASE security, CRYPTOGRAPHY, DEEP learning, INTRUSION detection systems (Computer security), DATA security failures, MACHINE learning, SECURITY management

An analysis on effects of information security investments: a BSC perspective.

Authors: Kong, Hee-Kyung Kim, Tae-Sung Kim, Jungduk

Source: Journal of Intelligent Manufacturing; Aug2012, Vol. 23 Issue 4, p941-953, 13p

Subject Terms: DIGITAL asset management, DATABASE management, MANAGEMENT of information storage & retrieval systems, INFORMATION society, DECISION making

Security and privacy for multimedia database management systems.

Source: Multimedia Tools & Applications; Apr2007, Vol. 33 Issue 1, p13-29, 17p

Subject Terms: MULTIMEDIA systems, DATABASE management, COMPUTER security, PRIVACY

Security Analysis of Internet Technology Components Enabling Globally Distributed Workplaces--A Framework.

Authors: Gupta, Manish Banerjee, Shamik Agrawal, Manish et al.

Source: ACM Transactions on Internet Technology; 2008, Vol. 8 Issue 4, p17:1-17:38, 38p, 10 Diagrams, 13 Charts

Subject Terms: COMPUTER security laws, COMPUTER architecture, INFORMATION resources management, INFORMATION services, QUALITY control