BeeKeeper 2.0: Confidential Blockchain-Enabled IoT System with Fully Homomorphic Computation
Blockchain-enabled Internet of Things (IoT) systems have received extensive attention from academia and industry. Most previous constructions face the risk of leaking sensitive information since the servers can obtain plaintext data from the devices.
Lijing Zhou +3 more
doaj +1 more source
Fair Marketplace for Secure Outsourced Computations
The cloud computing paradigm offers clients ubiquitous and on demand access to a shared pool of computing resources, enabling the clients to provision scalable services with minimal management effort. Such a pool of resources, however, is typically owned and controlled by a single service provider, making it a single-point-of-failure.
Hung Dang, Dat Le Tien, Ee-Chien Chang
openaire +2 more sources
Privacy-preserving and efficient outsourcing computation scheme for principal component analysis
Currently, the rapid development of Internet of Things (IoT) technology and the deepening digital transformation of traditional industries have driven substantial growth in the Machine Learning as a Service (MLaaS) market to meet massive data processing ...
Yan Ding, Ye Du
doaj +1 more source
Secure Image LBP Feature Extraction in Cloud-Based Smart Campus
The smart campus can monitor students in real time by analyzing students' images, but a large number of images bring an unbearable burden to the smart campus. The convenience of cloud computing has attracted smart campus to outsource their huge amount of
Zhihua Xia +5 more
doaj +1 more source
SPOC: Secure Payments for Outsourced Computations
Constrained devices in IoT networks often require to outsource resource-heavy computations or data processing tasks. Currently, most of those jobs are done in the centralised cloud. However, with rapidly increasing number of devices and amount of produced data, edge computing represents a much more efficient solution decreasing the cost, the delay and ...
Michal Król, Ioannis Psaras
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Outsourcing Eigen-Decomposition and Singular Value Decomposition of Large Matrix to a Public Cloud
Cloud computing enables customers with limited computational resources to outsource their huge computation workloads to the cloud with massive computational power.
Lifeng Zhou, Chunguang Li
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A Content-Based Image Retrieval Scheme Using an Encrypted Difference Histogram in Cloud Computing
Content-based image retrieval (CBIR) has been widely used in many applications. Large storage and computation overheads have made the outsourcing of CBIR services attractive.
Dandan Liu +3 more
doaj +1 more source
PRESAGE: PRivacy-preserving gEnetic testing via SoftwAre Guard Extension
Background Advances in DNA sequencing technologies have prompted a wide range of genomic applications to improve healthcare and facilitate biomedical research.
Feng Chen +9 more
doaj +1 more source
Non-interactive Verifiable Computing: Outsourcing Computation to Untrusted Workers [PDF]
We introduce and formalize the notion of Verifiable Computation, which enables a computationally weak client to "outsource" the computation of a function F on various dynamically-chosen inputs x1, ...,xk to one or more workers. The workers return the result of the function evaluation, e.g., yi = F(xi), as well as a proof that the computation of F was ...
Rosario Gennaro +2 more
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Practical and Secure Outsourcing of Matrix Computations to the Cloud
Cloud computing enables a cost effective outsourcing of storage and resource-intensive computations. Secure outsourcing of data and computation is challenging in this emerging computing model. In particular, outsourcing of sensitive computations should be assured in terms of input privacy and cheating detection. Existing approaches use either expensive
Mohamed Nassar 0001 +2 more
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