About: On the Trade-Offs of Combining Multiple Secure Processing Primitives for Data Analytics

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An Entity of Type : schema:ScholarlyArticle, within Data Space : covidontheweb.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	On the Trade-Offs of Combining Multiple Secure Processing Primitives for Data Analytics
Creator	Oliveira, Rui Carvalho, Hugo Cruz, Daniel Paulo, João Pontes, Rogério
Source	PMC
abstract	Cloud Computing services for data analytics are increasingly being sought by companies to extract value from large quantities of information. However, processing data from individuals and companies in third-party infrastructures raises several privacy concerns. To this end, different secure analytics techniques and systems have recently emerged. These initial proposals leverage specific cryptographic primitives lacking generality and thus having their application restricted to particular application scenarios. In this work, we contribute to this thriving body of knowledge by combining two complementary approaches to process sensitive data. We present SafeSpark, a secure data analytics framework that enables the combination of different cryptographic processing techniques with hardware-based protected environments for privacy-preserving data storage and processing. SafeSpark is modular and extensible therefore adapting to data analytics applications with different performance, security and functionality requirements. We have implemented a SafeSpark’s prototype based on Spark SQL and Intel SGX hardware. It has been evaluated with the TPC-DS Benchmark under three scenarios using different cryptographic primitives and secure hardware configurations. These scenarios provide a particular set of security guarantees and yield distinct performance impact, with overheads ranging from as low as 10% to an acceptable 300% when compared to an insecure vanilla deployment of Apache Spark.
has issue date	2020-05-15(xsd:dateTime)
bibo:doi	10.1007/978-3-030-50323-9_1
has license	no-cc
sha1sum (hex)	c1e578f041d64c471e75694aa3c094d6aa376df0
schema:url	https://doi.org/10.1007/978-3-030-50323-9_1
resource representing a document's title	On the Trade-Offs of Combining Multiple Secure Processing Primitives for Data Analytics
has PubMed Central identifier	PMC7276258
schema:publication	Distributed Applications and Interoperable Systems
resource representing a document's body	covid:c1e578f041d64c471e75694aa3c094d6aa376df0#body_text
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