Data Security and Privacy Protection Issues in Cloud Computing

By Deyan Chen, Hong Zhao. International Conference on Computer Science and Electronics Engineering, 2012

778 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/58f713f4c3c2804bebd4792fd7fb9b69336c471f

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In Artificial Intelligence

In Information Systems

Citations in the corpus

Data Security and Privacy in Cloud Computing (2014, positive): “Chen and Zhao [16] analyzed privacy and data security issues in the cloud computing by focusing on privacy protection, data segregation, and cloud security.”
Big Data and cloud computing: innovation opportunities and challenges (2017, background): “In the cloud era, since data owners have limited control on virtualized storage, ensuring data confidentiality, integrity and availability becomes a fundamental concern (Kaufman 2009; Wang et al. 2009; Feng et al. 2011; Chen and Zhao 2012).”
A Survey of IoT Applications in Blockchain Systems (2020, background): “In the traditional data-sharing system, user information and privacy are often revealed, mis-handled, stole, and accessed without authorization [Chen and Zhao 2012; Liu et al. 2018; Sun et al. 2018].”
Cybersecurity for industrial control systems: A survey (2020, background): “On the other hand, various research works have argued and demonstrated that data encryption alone is not sufficient for network security [55].”
Security in cloud computing: Opportunities and challenges (2015, background): “The data recovery vulnerability can pose major threats to the sensitive user data [17].”
Security issues in cloud environments: a survey (2014, background): “However, deficient implementation of data destruction policies at the end of a lifecycle, may result in data loss [34] and data disclosure [44], because hard disks might be discarded without being completely wiped [17] or might not be wrecked at all because other tenants might still be using them [1”