Secure Multi-Party Computation Against Passive Adversaries

Name: Secure Multi-Party Computation Against Passive Adversaries
Brand: Springer, Berlin
SKU: 9783031121661
Price: 58.88 EUR
Availability: InStock

Autor: Ashish Choudhury, Arpita Patra

Jazyk:

Väzba: Brožovaná

Vydavateľ: Springer, Berlin

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58.88 €

This book focuses on multi-party computation (MPC) protocols in the passive corruption model (also k...

Informácie o knihe

Autor

Ashish Choudhury, Arpita Patra

Jazyk

Angličtina

Väzba

Kniha - Brožovaná

Vydalo

2023

Stránok

231

EAN

9783031121661

Enbook ID

44205110

Vydavateľ

Springer, Berlin

Hmotnosť

399

Rozmery

168 x 240

Kompletný popis

This book focuses on multi-party computation (MPC) protocols in the passive corruption model (also known as the semi-honest or honest-but-curious model). The authors present seminal possibility and feasibility results in this model and includes formal security proofs. Even though the passive corruption model may seem very weak, achieving security against such a benign form of adversary turns out to be non-trivial and demands sophisticated and highly advanced techniques. MPC is a fundamental concept, both in cryptography as well as distributed computing. On a very high level, an MPC protocol allows a set of mutually-distrusting parties with their private inputs to jointly and securely perform any computation on their inputs. Examples of such computation include, but not limited to, privacy-preserving data mining; secure e-auction; private set-intersection; and privacy-preserving machine learning. MPC protocols emulate the role of an imaginary, centralized trusted third party (TTP) that collects the inputs of the parties, performs the desired computation, and publishes the result. Due to its powerful abstraction, the MPC problem has been widely studied over the last four decades.

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Secure Multi-Party Computation Against Passive Adversaries

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