Secure Multi-Party Computation Against Passive Adversaries - Couverture souple

Choudhury, Ashish; Patra, Arpita

9783031121661: Secure Multi-Party Computation Against Passive Adversaries

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ISBN 10 : 303112166X ISBN 13 : 9783031121661

Editeur : Springer, 2023

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�diteurSpringer
Date d'�dition2023
ISBN 10 303112166X
ISBN 13 9783031121661
ReliureBroch�
Langueanglais
Nombre de pages248

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Secure Multi-Party Computation Against Passive Adversaries

Arpita Patra

Edit� par Springer International Publishing Okt 2023, 2023

ISBN 10 : 303112166X ISBN 13 : 9783031121661

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Taschenbuch. Etat : Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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 authorspresent seminal possibility and feasibility results in this model and includes formalsecurity 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-trivialand demands sophisticated and highly advanced techniques. MPC is a fundamentalconcept, 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 privateinputs to jointly and securely perform any computation on their inputs. Examples ofsuch computation include, but not limited to, privacy-preserving data mining; securee-auction; private set-intersection; and privacy-preserving machine learning. MPCprotocols emulate the role of an imaginary, centralized trusted third party (TTP) thatcollects the inputs of the parties, performs the desired computation, and publishes theresult. Due to its powerful abstraction, the MPC problem has been widely studied overthe last four decades. 248 pp. Englisch. N� de r�f. du vendeur 9783031121661

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Secure Multi-Party Computation Against Passive Adversaries (Synthesis Lectures on Distributed Computing Theory)

Choudhury, Ashish; Patra, Arpita

Edit� par Springer, 2023

ISBN 10 : 303112166X ISBN 13 : 9783031121661

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Secure Multi-Party Computation Against Passive Adversaries

Arpita Patra

Edit� par Springer International Publishing, Springer International Publishing, 2023

ISBN 10 : 303112166X ISBN 13 : 9783031121661

Neuf Taschenbuch

Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne

�valuation du vendeur 5 sur 5 �toiles

Taschenbuch. Etat : Neu. Druck auf Anfrage Neuware - Printed after ordering - 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 authorspresent seminal possibility and feasibility results in this model and includes formalsecurity 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-trivialand demands sophisticated and highly advanced techniques. MPC is a fundamentalconcept, 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 privateinputs to jointly and securely perform any computation on their inputs. Examples ofsuch computation include, but not limited to, privacy-preserving data mining; securee-auction; private set-intersection; and privacy-preserving machine learning. MPCprotocols emulate the role of an imaginary, centralized trusted third party (TTP) thatcollects the inputs of the parties, performs the desired computation, and publishes theresult. Due to its powerful abstraction, the MPC problem has been widely studied overthe last four decades. N� de r�f. du vendeur 9783031121661

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