Effect of chosen features on performance of privacy preserving image retrieval systems

Magdy, Safaa; Abouelseoud, Yasmine; Mikhail, Mervat

doi:10.1016/j.compeleceng.2019.04.020

Cited by 4 publications

(1 citation statement)

References 22 publications

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“…Protecting the privacy of personal multimedia data generated in large volume also has received interest from researchers. Magdy, Abouelseoud, and Mikhail (2019) investigated several features for use in building a privacy-preserving content-based image-retrieval system. The results they obtained are insightful, offering interesting trade-offs between security, computational efficiency, and accuracy.…”

Section: Data Privacymentioning

confidence: 99%

Cloud Computing Trends: A Literature Review

Taleb

Mohamed

2020

AJIS

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This study is a literature review on cloud computing cloud computing trends as one the fastest growing technologies in the computer industry and their benefits and opportunities for all types of organizations. In addition, it addresses the challenges and problems that contribute to increasing the number of customers willing to adopt and use the technology. A mixed research study approach was adopted for the study, that is, by collecting and analyzing both quantitative and qualitative information within the same literature review and summarizing the findings of previous (related) studies. Results highlights the current and future trends of cloud computing and exposes readers to the challenges and problems associated with cloud computing. The reviewed literature showed that the technology is promising and is expected to grow in the future. Researchers have proposed many techniques to address the problems and challenges of cloud computing, such as security and privacy risks, through mobile cloud computing and cloud-computing governance.

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Section: Data Privacymentioning

confidence: 99%