Heterogeneity Shifts the Storage-Computation Tradeoff in Secure Multi-Cloud Systems
Author:
Affiliation:
1. Department of Electrical Engineering, City University of Hong Kong, Kowloon Tong, Hong Kong
2. Institute for Telecommunications Research, University of South Australia, Adelaide, SA, Australia
Funder
Grant from the Research Grants Council of the Hong Kong Special Administrative Region, China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Library and Information Sciences,Computer Science Applications,Information Systems
Link
http://xplorestaging.ieee.org/ielx7/18/10024105/09893194.pdf?arnumber=9893194
Reference46 articles.
1. SAZD: A Low Computational Load Coded Distributed Computing Framework for IoT Systems
2. Securing Dynamic Distributed Storage Systems Against Eavesdropping and Adversarial Attacks
3. Security in cloud computing: Opportunities and challenges
4. Secure Coded Multi-Party Computation for Massive Matrix Operations
5. GCSA Codes With Noise Alignment for Secure Coded Multi-Party Batch Matrix Multiplication
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