Data flow management and compliance in cloud computing
Open accessAbstract
As cloud computing becomes an increasingly dominant means of providing computing resources, the legal and regulatory issues associated with data in the cloud become more pronounced. These issues derive primarily from four areas: contract, data protection, law enforcement, and regulatory and common law protections for particularly sensitive domains such as health, finance, fiduciary relations, and intellectual property assets. From a technical perspective, these legal requirements all impose information management obligations on data sharing and transmission within cloud-hosted applications and services. They might restrict how, when, where, and by whom data may flow and be accessed. These issues must be managed not only between applications, but also through the entire, potentially global, cloud supply chain.
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
IFC can assist with erasure concerns under the GDPR's RtbF because data flows are audited, allowing determination of where data has gone and ensuring deletion requests are directed to all relevant entities.
“IFC can assist with the erasure concerns coming under the GDPR's RtbF requirement as data flows are audited, and thus it is possible to determine where data has gone and to ensure that the deletion requests are directed to all relevant entities.”
From Forgetting personal data and revoking consent under the GDPR: Challenges and proposed solutions (2018) · cites this paper as [171]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Cites
Dwork, C. (2006) · Lecture notes in computer science · doi:10.1007/11787006_1 · Cited by 5,945 · see citing works
The case for vm-based cloudlets in mobile computing
Satyanarayanan, M., Bahl, P., Caceres, R., & Davies, N. (2009) · IEEE Pervasive Computing · doi:10.1109/mprv.2009.82 · Cited by 3,660 · see citing works
Can homomorphic encryption be practical?
Naehrig, M., Lauter, K., & Vaikuntanathan, V. (2011) · Cloud Computing Security Workshop · doi:10.1145/2046660.2046682 · Cited by 1,027 · see citing works
A decentralized model for information flow control
Myers, A. C., & Liskov, B. (1997) · Proceedings of the sixteenth ACM symposium on Operating systems principles · doi:10.1145/268998.266669 · Cited by 536 · see citing works
Twenty Security Considerations for Cloud-Supported Internet of Things
Singh, J. P., Pasquier, T., Bacon, J., Ko, H., & Eyers, D. M. (2015) · IEEE Internet of Things Journal · doi:10.1109/jiot.2015.2460333 · Cited by 333 · see citing works
Self-citationSticky Policies: An Approach for Managing Privacy across Multiple Parties
Pearson, S., & Mont, M. C. (2011) · Computer · doi:10.1109/mc.2011.225 · Cited by 161 · see citing works
Information flow control for secure cloud computing
Bacon, J., Eyers, D., Pasquier, T. F. J.-M., Singh, J., Papagiannis, I., & Pietzuch, P. (2014) · IEEE Transactions on Network and Service Management · doi:10.1109/tnsm.2013.122313.130423 · Cited by 105 · see citing works
Self-citationCamflow: Managed Data-Sharing for Cloud Services
Pasquier, T., Singh, J. P., Eyers, D. M., et al. (2015) · IEEE Transactions on Cloud Computing · doi:10.1109/tcc.2015.2489211 · Cited by 88 · see citing works
Self-citation(2013) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780199671670.001.0001 · Cited by 38 · see citing works
Policy, legal and regulatory implications of a Europe-only cloud
Hon, W. K., Millard, C. J., Singh, J. P., et al. (2016) · International Journal of Law and Information Technology · doi:10.1093/ijlit/eaw006 · Cited by 28 · see citing works
Self-citationTrustworthy geographically fenced hybrid clouds
Jayaram, K. R., Safford, D. R., Sharma, U. K., et al. (2014) · doi:10.1145/2663165.2666091 · Cited by 26 · see citing works
Expressing and Enforcing Location Requirements in the Cloud Using Information Flow Control
Pasquier, T., & Powles, J. (2015) · IEEE International Conference on Cloud Engineering · doi:10.1109/ic2e.2015.71 · Cited by 21 · see citing works
Self-citationRegional clouds: technical considerationsPreprint
Singh, J. P., Bacon, J., Crowcroft, J., et al. (2014) · RePEc: Research Papers in Economics · doi:10.13140/2.1.2832.8644 · Cited by 14 · see citing works
Self-citationCrowcroft, J., Madhavapeddy, A., Schwarzkopf, M., Hong, T. W., & Mortier, R. (2011) · Lecture notes in computer science · doi:10.1007/978-3-642-17679-1_3 · Cited by 14 · see citing works
Flagged first, then by citations
Cited by
Sorted by citations
Forgetting personal data and revoking consent under the GDPR: Challenges and proposed solutions
Politou, E., Alepis, E., & Patsakis, C. (2018) · Journal of Cybersecurity · doi:10.1093/cybsec/tyy001 · Cited by 313 · see citing works
Decision Provenance: Harnessing Data Flow for Accountable Systems
Singh, J., Cobbe, J., & Norval, C. (2019) · IEEE Access · doi:10.1109/access.2018.2887201 · Cited by 110 · see citing works
Self-citationWhat lies beneath: transparency in online service supply chains
Cobbe, J., Norval, C., & Singh, J. (2020) · Journal of Cyber Policy · doi:10.1080/23738871.2020.1745860 · Cited by 13 · see citing works
Self-citation
- Authors
- Singh, J., Powles, J., Pasquier, T., & Bacon, J.
- Affiliations
- University of Cambridge (GB)
- Venue
- IEEE Cloud Computing
- Published
- 2015-07
- Volume
- 2
- Issue
- 4
- Pages
- 24-32
- ISSN
- 2325-6095 (ISSN-L)
- 2372-2568
- OpenAlex
- W1507156252
- Cited by
- 48
- References
- 14
- Citations by year
- 2026: 2 · 2025: 1 · 2024: 3 · 2023: 3 · 2022: 2 · 2021: 8 · 2020: 5 · 2019: 4 · 2018: 8 · 2017: 1 · 2016: 8 · 2015: 3
- FWCI
- 17.99
- Type
- journal article
- Language
- en
- Open access
- Locations
- IEEE Cloud Computing (publishedVersion)
- Apollo (University of Cambridge) (submittedVersion)
- Digital Access to Scholarship at Harvard (DASH) (Harvard University) (submittedVersion)
- Bristol Research (University of Bristol) (submittedVersion)
- Explore Bristol Research (submittedVersion)
- Funders
- Queen Mary University of London
- Engineering and Physical Sciences Research Council (EP/K011510/1, EP/K011510)
- Topics
- Physical Sciences › Computer Science › Information Systems › Cloud Data Security Solutions
- Social Sciences › Law › Digitalization, Law, and Regulation
- Physical Sciences › Computer Science › Information Systems › Cloud Computing and Resource Management
- Keywords
- cloud computing, data flow management, regulatory compliance, data protection, contracts, law enforcement, sensitive data, health data, financial data, intellectual property, data sharing, data transmission
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.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
