Privately and Publicly Verifiable Computing Techniques

Demirel, Denise; Schabhüser, Lucas; Buchmann, Johannes

doi:10.1007/978-3-319-53798-6

Cited by 7 publications

(1 citation statement)

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“…While for practical outsourced applications, no or very few specific schemes were referred to in the surveys [17]- [20]. Scheme [21] and [22] mainly introduced verifiable computing techniques and some related practical designs. In [23] and [24], secure outsourcing schemes for a limited number of functions (e.g., scientific computations) were discussed, and these surveys consider different techniques including HE algorithms.…”

Section: Comparison With Other Surveysmentioning

confidence: 99%

A Comprehensive Survey on Secure Outsourced Computation and Its Applications

et al. 2019

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With the ever-increasing requirement of storage and computation resources, it is unrealistic for local devices (with limited sources) to implement large-scale data processing. Therefore, individuals or corporations incline to outsource their computation requirements to the cloud. However, data outsourcing brings security and privacy concerns to users when the cloud servers are not fully trusted. Recently, extensive research works are conducted, aiming at secure outsourcing schemes for diverse computational tasks via different technologies. In this survey, we provide a technical review and comparison of existing outsourcing schemes using diverse secure computation methods. Specifically, we begin the survey by describing security threats and requirements of secure outsourcing computation. Meanwhile, we introduce four secure techniques (i.e., secure multi-party computation, pseudorandom functions, software guard extensions, and perturbation approaches) and their related works. Then, we focus on the theories and evolution of homomorphic encryption, as well as the applications of the basic operations and application-specific tasks. Finally, we discuss the security and performance of existing works and give future directions in this field. INDEX TERMS Secure outsourced computing, privacy preserving, homomorphic encryption, secure outsourced machine learning, data processing.

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