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Secure Multi Party Computation Against by Choudhury Ashish (14 results)
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Secure Multi-Party Computation Against Passive Adversaries (Paperback)
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 303112166X ISBN 13: 9783031121661
Language: English
Paperback. Condition: new. Paperback. 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. 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). 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. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Secure Multi-Party Computation Against Passive Adversaries (Synthesis Lectures on Distributed Computing Theory)
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Secure Multi-Party Computation Against Passive Adversaries
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Secure Multi-Party Computation Against Passive Adversaries
Published by Springer, Berlin|Springer International Publishing|Springer, 2023
ISBN 10: 303112166X ISBN 13: 9783031121661
Language: English
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Secure Multi-Party Computation Against Passive Adversaries
Published by Springer, Berlin|Springer, 2022
ISBN 10: 3031121635 ISBN 13: 9783031121630
Language: English
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Secure Multi-party Computation Against Passive Adversaries
Published by Springer-Nature New York Inc, 2023
ISBN 10: 303112166X ISBN 13: 9783031121661
Language: English
US$ 98.83
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Add to basketPaperback. Condition: Brand New. 244 pages. 9.45x6.61x0.52 inches. In Stock.
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Secure Multi-Party Computation Against Passive Adversaries (Paperback)
Published by Springer International Publishing AG, Cham, 2023
ISBN 10: 303112166X ISBN 13: 9783031121661
Language: English
US$ 132.34
Convert currencyUS$ 37.00 shipping from Australia to U.S.A.Quantity: 1 available
Add to basketPaperback. Condition: new. Paperback. 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. 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). 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. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
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