The DOI matches its Crossref record; 49 of the 50 references it cites were found in a registry or an index.
Security and Privacy in Big Data Environment
Overview
Integrity signals
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Cites
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Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“Furthermore, privacy by design can show rigid behavior with time (like the other embedded technical solutions) because of not updating its measures frequently [148].”
From Secondary Use of Electronic Health Record: Opportunities and Challenges (2020) · cites this paper as [148]
Citations
Cites
Lecture Notes in Computer Science 1205
(1999) · Industrial Robot the international journal of robotics research and application · doi:10.1108/ir.1999.04926fae.001 · Cited by 39,228
k-ANONYMITY: A MODEL FOR PROTECTING PRIVACY
SWEENEY, L. (2002) · International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems · doi:10.1142/s0218488502001648 · Cited by 8,571
L -diversity: Privacy beyond k -anonymity
Machanavajjhala, A., Kifer, D., Gehrke, J., & Venkitasubramaniam, M. (2007) · ACM Transactions on Knowledge Discovery from Data · doi:10.1145/1217299.1217302 · Cited by 3,617
t-Closeness: Privacy Beyond k-Anonymity and l-Diversity
Li, N., Li, T., & Venkatasubramanian, S. (2007) · 2007 IEEE 23rd International Conference on Data Engineering · doi:10.1109/icde.2007.367856 · Cited by 3,451
Li, M., Yu, S., Zheng, Y. R., Ren, K., & Lou, W. (2012) · IEEE Transactions on Parallel and Distributed Systems · doi:10.1109/tpds.2012.97 · Cited by 1,189
Big data: Issues, challenges, tools and Good practices
Katal, A., Wazid, M., & Goudar, R. H. (2013) · International Conference on Contemporary Computing · doi:10.1109/ic3.2013.6612229 · Cited by 872
Communications in Computer and Information Science
Fischer, T. (2017) · Cited by 415
Dwork, C. (2011) · Springer eBooks · doi:10.1007/978-1-4419-5906-5_752 · Cited by 352
A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds
Abbas, A., & Khan, S. U. (2014) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2300846 · Cited by 332
A scoping review of cloud computing in healthcare
Griebel, L., Prokosch, H., Köpcke, F., Toddenroth, D., Christoph, J., Leb, I., Engel, I., & Sedlmayr, M. (2015) · BMC Medical Informatics and Decision Making · doi:10.1186/s12911-015-0145-7 · Cited by 269
Flagged first, then by citations
1 of the 50 references couldn’t be matched to a known paper.
Research works printed but not linked: 8
- Ahmed M, Ullah ASB (2017) False data injection attacks in healthcare. In Australasian Conference on Data Mining. Springer Singapore, Singapore, pp 192–202
- Bertino E, Ghinita G, Kamra A (2011) Access control for databases: concepts and systems. Found Trends® Databases 3:1–148
- Gantz J, Reinsel D (2012) The digital universe in 2020: big data, bigger digital shadows, and biggest growth in the far east. IDC iView: IDC Analyze Futur 2007:1–16
- Khalil F, Wang H, Li J (2007) Integrating markov model with clustering for predicting web page accesses. In: Proceeding of the 13th Australasian world wide web conference, pp 63–74
- McCune JC (1998) Data, data, everywhere. Manag Rev 87:10
- Venkatram K, Geetha MA (2017) Review on big data & analytics – concepts, philosophy, process and applications. Cybern Inf Technol 17:3–27
- Wang H, Cao J, Zhang Y (2002) Ticket-based service access scheme for mobile users. Aust Comput Sci Commun 24(1):285–292
- Yi X, Miao Y, Bertino E, Willemson J (2013) Multiparty privacy protection for electronic health records. In: Proceedings of the global communications conference (GLOBECOM), 2013 IEEE. IEEE, pp 2730–2735
Cited by
Sorted by citations
Big data analytics for preventive medicine
Razzak, I., Imran, M. A., & Xu, G. (2019) · Neural Computing and Applications · doi:10.1007/s00521-019-04095-y · Cited by 362
Secondary Use of Electronic Health Record: Opportunities and Challenges
Shah, S. M., & Khan, R. A. (2020) · IEEE Access · doi:10.1109/access.2020.3011099 · Cited by 158
Srinivasu, P. N., Bhoi, A. K., Nayak, S. R., Bhutta, M. R., & Woźniak, M. (2021) · Electronics · doi:10.3390/electronics10121437 · Cited by 80
Kulkarni, P., & Cauvery, N. K. (2021) · International Journal of Advanced Computer Science and Applications · doi:10.14569/ijacsa.2021.0120957 · Cited by 16
A Novel Blockchain Based Smart Contract System for eReferral in Healthcare: HealthChain
Chenthara, S., Ahmed, K. E. U., Wang, H., & Whittaker, F. (2020) · Lecture notes in computer science · doi:10.1007/978-3-030-61951-0_9 · Cited by 17
Self-citation
Metadata
- Authors
- Chenthara, S., Wang, H., & Ahmed, K.
- Affiliations
- Victoria University (AU)
- Corresponding author
- Wang, Hua
- Venue
- Encyclopedia of Big Data Technologies
- Publisher
- Springer International Publishing
- Published
- 2018
- Pages
- 1-9
- OpenAlex
- W2918033974
- Cited by
- 8
- References
- 50
- Citations by year
- 2021: 2 · 2020: 4 · 2019: 1 · 2018: 1
- Type
- reference entry
- Language
- en
- Open access
- closed
- Locations
- Springer eBooks (publishedVersion)
- Victoria University Research Repository (Victoria University) (submittedVersion)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Physical Sciences › Computer Science › Artificial Intelligence › Privacy-Preserving Technologies in Data
- Physical Sciences › Computer Science › Information Systems › Big Data and Digital Economy
- Keywords
- big data security, big data privacy, cloud computing, data confidentiality, trustworthiness
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
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