Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 12 of 12 for “"secure multiparty computation"”.
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Infrastructures for secure multiparty computation
… problem of implementing an infrastructure for secure multiparty computation (MPC). The goal of our infrastructure is to enable reliable communication, secure computation and fair computation in a network. The desiderata for an infrastructure include reusability, transferability and …
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Keep it secret, keep it safe : privacy, security, and robustness in an adversarial world
… or devices necessitates the design of computational frameworks that are resilient to failures or malicious actors. This thesis introduces algorithms and definitions for a series of problems concerning robustness, security, and privacy in the many-party setting. We describe protocols for …
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Network oblivious transfer
… the goal of improving the concrete efficiency of secure multiparty computation (MPC), we study the possibility of implementing an infrastructure for MPC. We propose an infrastructure based on oblivious transfer (OT), which would consist of OT channels between some pairs of parties in the network. …
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Relationships between functionality, security, and privacy for multiparty computation, hashing, and encryption
… log), and have been able to build protocols for secure multiparty computation, collision-resistant hash functions, public key cryptography, and much more. This thesis explores three facets of this balance. First, we delve into Topology-Hiding Computation, which is multiparty computation where we …
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Rational Multiparty Computation
… functions. This departs from the standard secure multiparty computation setting, where players are assumed to be either honest or malicious. ^ We detail the construction of both a two-party and a multiparty game theoretic framework for constructing rational cryptographic protocols. Our …
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Privacy-preserving query processing over encrypted data in cloud
… over encrypted data. Based on the concept of Secure Multiparty Computation (SMC), SMC-based distributed protocols were developed to allow the cloud to perform queries directly over encrypted data. These protocols protect the confidentiality of the stored data, user queries, and data access …
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Efficient secure computation enabled by blockchain technology
For several decades, secure multiparty computation has been the topic of extensive research, as it enables computing any functionality in a privacy-preserving manner, while ensuring correctness of the outputs. In recent years, the field has seen tremendous progress in terms of efficiency, although …
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On time and order in multiparty computation
… to share their data with others. The theory of secure multiparty computation (MPC) allows parties to compute a function on their joint data while learning the minimum necessary information: the value of the function computed on their joint data (and nothing else). However, the theory of MPC does …
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Secure Computation in Decentralized Systems
… Bitcoin and Ethereum are real-world examples of secure distributed systems deployed at scale. Over the past decade, these systems and others have proven to provide a trust-minimized solution for computing. They ensure the correct execution of code (correctness), maintain the integrity of stored …
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Multiparty Protocols for Tree Classifiers
… data unintelligible, preventing any meaningful computation without decryption. On the one hand, data owners want to maintain control over their sensitive data. On the other hand, there is a high business incentive for collaborating with an untrusted external party. Modern cryptography …
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Secure transformation of cryptographic protocols
This Dissertation was approved for publication on 2020-12-03 at 10:35.
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Secure Computation in Heterogeneous Environments: How to Bring Multiparty Computation Closer to Practice?
Many services that people use daily require computation that depends on the private data of multiple parties. While the utility of the final result of such interactions outweighs the privacy concerns related to output release, the inputs for such computations are much more sensitive and need to be …