Security and Privacy in Cloud Computing

By Zahir Tari. IEEE Cloud Computing, 2014

506 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Information Systems

View Paper: https://www.semanticscholar.org/paper/bb774e44e4ba09d404ffe018900f5395610582e0

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

In Information Systems

Citations in the corpus

Security issues in cloud environments: a survey (2014, background): “Xiao and Xiao [300] 2013 Confidentiality, integrity, availability, accountability, privacy-preservability × × × ++ ++”
Differential Privacy Techniques for Cyber Physical Systems: A Survey (2018, background): “third party can cause certain privacy issues [348].”
Computation Offloading Toward Edge Computing (2019, background): “In general, the principles of security and privacy for cloud computing [228] are also fit for edge computing.”
Big data privacy: a technological perspective and review (2016, background): “Approaches to privacy preservation storage on cloud When data are stored on cloud, data security predominantly has three dimensions, confidentiality, integrity and availability [23].”
Software-Defined Networking (SDN) and Distributed Denial of Service (DDoS) Attacks in Cloud Computing Environments: A Survey, Some Research Issues, and Challenges (2016, methodology): “A FRC attack succeeds when it causes financial burden on the victim [13].”
A survey on service function chaining (2016, background): “There have been recent studies towards the security in cloud and virtualized environments [113-115].”
Data Security and Privacy in Cloud Computing (2014, unknown): “One of the most significant barriers to adoption is data security, which is accompanied by issues including compliance, privacy, trust, and legal matters [4, 5].”
The rise of "big data" on cloud computing: Review and open research issues (2015, background): “MapReduce accelerates the processing of large amounts of data in a cloud; thus, MapReduce, is the preferred computation model of cloud providers [86].”
Big Data: Survey, Technologies, Opportunities, and Challenges (2014, background): “The following threats can induce data unavailability [102].”
Cloud-Based Augmentation for Mobile Devices: Motivation, Taxonomies, and Open Challenges (2013, background): “devices [91], cloud resources [92] and wireless transactions makes security and privacy more challenging than ever [93].”
Sensing as a service model for smart cities supported by Internet of Things (2013, unknown): “Security and privacy is a must [42].”
Blockchain Meets Cloud Computing: A Survey (2020, background): “A long-run of fulﬁllment of Service Level Agreement (SLA) can be monitored under the restriction of provenance information [70].”
A Review on the State-of-the-Art Privacy-Preserving Approaches in the e-Health Clouds (2014, background): “1) Integrity —to ensure that the health data captured by a system or provided to any entity is true representation of the intended information and has not been modiﬁed in any way [31].”