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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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Zařazení knihy Knihy v angličtině Reference, information & interdisciplinary subjects Research & information: general Coding theory & cryptology

• Plný název: Secure Multi-Party Computation Against Passive Adversaries
• Autor: Ashish Choudhury, Arpita Patra
• Jazyk: Angličtina
• Vazba: Brožovaná
• Počet stran: 231
• EAN: 9783031121661
• ID: 44205110
• Nakladatelství: Springer, Berlin
• Rozměry: 240 × 168 mm
• Rok vydání: 2023

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