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Books > Computing & IT > Computer communications & networking > Network security
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Engineering Secure Two-Party Computation Protocols - Design, Optimization, and Applications of Efficient Secure Function Evaluation (Paperback, 2012 ed.)
Loot Price: R3,106
Discovery Miles 31 060
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Engineering Secure Two-Party Computation Protocols - Design, Optimization, and Applications of Efficient Secure Function Evaluation (Paperback, 2012 ed.)
Expected to ship within 18 - 22 working days
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Secure two-party computation, called secure function evaluation
(SFE), enables two mutually mistrusting parties, the client and
server, to evaluate an arbitrary function on their respective
private inputs while revealing nothing but the result. Originally
the technique was considered to be too inefficient for practical
privacy-preserving applications, but in recent years rapid speed-up
in computers and communication networks, algorithmic improvements,
automatic generation, and optimizations have enabled their
application in many scenarios. The author offers an extensive
overview of the most practical and efficient modern techniques used
in the design and implementation of secure computation and related
protocols. After an introduction that sets secure computation in
its larger context of other privacy-enhancing technologies such as
secure channels and trusted computing, he covers the basics of
practically efficient secure function evaluation, circuit
optimizations and constructions, hardware-assisted garbled circuit
protocols, and the modular design of efficient SFE protocols. The
goal of the author's research is to use algorithm engineering
methods to engineer efficient secure protocols, both as a generic
tool and for solving practical applications, and he achieves an
excellent balance between the theory and applicability. The book is
essential for researchers, students and practitioners in the area
of applied cryptography and information security who aim to
construct practical cryptographic protocols for privacy-preserving
real-world applications.
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