Search Results - acm: h.: information systems/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

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

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

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 Root of Trust for the Personal Cloud

Authors: Anciaux, Nicolas André, Benjamin Pucheral, Philippe et al.

Contributors: Anciaux, Nicolas André, Benjamin Pucheral, Philippe et al.

Subject Terms: Personal cloud, ACM: B.: Hardware, access control, embedded database, [INFO.INFO-ES] Computer Science [cs]/Embedded Systems, [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR], [INFO.INFO-CY] Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-CY]Computer Science [cs]/Computers and Society [cs.CY], [INFO.INFO-ET] Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-ET]Computer Science [cs]/Emerging Technologies [cs.ET], [INFO.INFO-ES]Computer Science [cs]/Embedded Systems, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, secure hardware, [INFO.INFO-CR] Computer Science [cs]/Cryptography and Security [cs.CR]

File Description: application/pdf

Access URL: https://hal.science/hal-01427725v1

Differential privacy for relational algebra: improving the sensitivity bounds via constraint systems

Authors: Palamidessi, Catuscia Stronati, Marco Laboratoire d'informatique de l'École polytechnique Palaiseau (LIX) et al.

Contributors: Palamidessi, Catuscia Stronati, Marco Laboratoire d'informatique de l'École polytechnique Palaiseau (LIX) et al.

Source: QAPL - Tenth Workshop on Quantitative Aspects of Programming Languages ; https://inria.hal.science/hal-00760688 ; QAPL - Tenth Workshop on Quantitative Aspects of Programming Languages, Apr 2012, Tallin, Estonia. pp.92-105, ⟨10.4204/EPTCS.85.7⟩

Subject Terms: ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT/H.2.3: Languages/H.2.3.3: Query languages, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS/K.6.5: Security and Protection, [INFO.INFO-OH]Computer Science [cs]/Other [cs.OH]

Subject Geographic: Tallin, Estonia

Time: Tallin, Estonia

Availability: https://inria.hal.science/hal-00760688
https://inria.hal.science/hal-00760688v1/document
https://inria.hal.science/hal-00760688v1/file/paper.pdf
https://doi.org/10.4204/EPTCS.85.7

Contributions from ADBIS 2018 Workshops

Authors: Bub, Udo Dahanayake, Ajantha Darmont, Jérôme et al.

Contributors: Bub, Udo Dahanayake, Ajantha Darmont, Jérôme et al.

Source: ISSN: 1865-0929 ; Communications in Computer and Information Science ; https://hal.science/hal-01865880 ; Communications in Computer and Information Science, 909, pp.91-102, 2018, New Trends in Databases and Information Systems - ADBIS 2018 Short Papers and Workshops, ⟨10.1007/978-3-030-00063-9⟩ ; https://link.springer.com/book/10.1007/978-3-030-00063-9.

Subject Terms: Big Data, Management, Analytics, Data Privacy, Security, ACM: H.: Information Systems/H.2: DATABASE MANAGEMENT, ACM: H.: Information Systems/H.3: INFORMATION STORAGE AND RETRIEVAL, ACM: I.: Computing Methodologies/I.2: ARTIFICIAL INTELLIGENCE, ACM: K.: Computing Milieux/K.5: LEGAL ASPECTS OF COMPUTING, ACM: K.: Computing Milieux/K.6: MANAGEMENT OF COMPUTING AND INFORMATION SYSTEMS, [INFO.INFO-DB]Computer Science [cs]/Databases [cs.DB], [INFO.INFO-CR]Computer Science [cs]/Cryptography and Security [cs.CR]

Availability: https://hal.science/hal-01865880
https://doi.org/10.1007/978-3-030-00063-9

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

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

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

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

BAF and FI-BAF: Efficient and Publicly Verifiable Cryptographic Schemes for Secure Logging in Resource-Constrained Systems

Authors: Attila A. Yavuz Peng Ning North Carolina et al.

Contributors: Attila A. Yavuz Peng Ning North Carolina et al.

Source: http://www4.ncsu.edu/~aayavuz/TISSEC2012.pdf.

Subject Terms: Categories and Subject Descriptors, H.2.7 [Database Management, Database Administration—Security, integrity, and protection, K.6.5 [Management of Computing and Information Systems, Security and Protection General Terms, Security, Design Additional Key Words and Phrases, Applied cryptography, digital signature, secure audit logging, forward security, signature aggregation ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.3671; http://www4.ncsu.edu/~aayavuz/TISSEC2012.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.364.3671
http://www4.ncsu.edu/~aayavuz/TISSEC2012.pdf

Views and Queries: Determinacy and Rewriting.

Authors: Nash, Alan Segoufin, Luc Vianu, Victor

Source: ACM Transactions on Database Systems; Jul2010, Vol. 35 Issue 3, p21-21:41, 41p, 5 Diagrams, 1 Chart

Subject Terms: QUERY languages (Computer science), PROGRAMMING languages, INFORMATION storage & retrieval systems, DATABASE management, DATABASE design, ALGORITHMS, DATABASE security, CONFIRMATION (Logic), COMPUTER science

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)

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

Detecting and resolving policy misconfigurations in access-control systems

Authors: Lujo Bauer Scott Garriss Google The Pennsylvania State University CiteSeerX Archives

Contributors: Lujo Bauer Scott Garriss Google The Pennsylvania State University CiteSeerX Archives

Source: http://www.cs.unc.edu/~reiter/papers/2011/TISSEC1.pdf.

Subject Terms: Categories and Subject Descriptors, D.4.6 [Operating Systems, Security and Protection—Access controls, H.2.0 [Database Management, General—Security, integrity, and protection, K.6.5 [Management of Computing and Information Systems, Security and Protection—Authentication General Terms, Experimentation, Human Factors, Security Additional Key Words and Phrases, Access control, policy inference, machine learning ACM Reference Format

File Description: application/pdf

Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.491; http://www.cs.unc.edu/~reiter/papers/2011/TISSEC1.pdf

Availability: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.300.491
http://www.cs.unc.edu/~reiter/papers/2011/TISSEC1.pdf

A Perspective on Achieving Information Security Awareness.

Authors: Hentea, Mariana

Source: Issues in Informing Science & Information Technology; 2005, Vol. 2, p169-178, 10p

Subject Terms: COMPUTER security, UNIVERSITIES & colleges, MANAGEMENT information systems, COMPUTER software, DATABASE management, EDUCATION

Geographic Terms: UNITED States