By Thomas Schneider
Secure two-party computation, known as safe functionality review (SFE), allows at the same time mistrusting events, the customer and server, to guage an arbitrary functionality on their respective deepest inputs whereas revealing not anything however the outcome. initially the approach was once thought of to be too inefficient for useful privacy-preserving purposes, yet lately fast speed-up in pcs and verbal exchange networks, algorithmic advancements, computerized new release, and optimizations have enabled their program in lots of scenarios.
The writer bargains an in depth evaluate of the main useful and effective glossy ideas utilized in the layout and implementation of safe computation and similar protocols. After an advent that units safe computation in its better context of different privacy-enhancing applied sciences similar to safe channels and relied on computing, he covers the fundamentals of virtually effective safe functionality overview, circuit optimizations and buildings, hardware-assisted garbled circuit protocols, and the modular layout of effective SFE protocols.
The target of the author's study is to exploit set of rules engineering the right way to engineer effective safe protocols, either as a frequent device and for fixing functional functions, and he achieves a superb stability among the speculation and applicability. The e-book is key for researchers, scholars and practitioners within the zone of utilized cryptography and knowledge safeguard who goal to build functional cryptographic protocols for privacy-preserving real-world applications.
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Additional resources for Engineering Secure Two-Party Computation Protocols: Design, Optimization, and Applications of Efficient Secure Function Evaluation
Either z i = z i0 or z i = z i1 , and which is the corresponding plain value without revealing the values z i0 and z i1 . As the GC evaluator is unable to guess a correct z i (except with negligible probability), she must have obtained it by honestly evaluating the GC. 1 SMPC with Two Servers As proposed in , Yao’s GC protocol (cf. Sect. 1) can be turned into a SMPC protocol with multiple input players, multiple output players, and two 26 2 Basics of Efficient Secure Function Evaluation non-colluding computation players who perform the secure computation: the GC creator is trusted by the output players to behave semi-honestly and the GC evaluator can even be malicious.
The assumption of the TTP was later removed in  and a construction which achieves universal composability is given in . Finally, non-interactive OT based on trusted HW reduces the communication overhead to the essential minimum where the agent is sent from one host to the next in a single message . 1 Introduction We start with a motivation of protocols that allow “free” evaluation of XOR gates (Sect. 1). Afterwards we give related work (Sect. 2) and preliminaries and notation used in this chapter (Sect.
3], Naor and Pinkas  described in Sect. 3) can be naturally converted into a proxy OT protocol as follows: The chooser sends the two public keys, of which she knows the trapdoor to exactly one, to the sender. The sender applies an error-correcting code to each of the two strings s 0 , s 1 and sends their encryptions under the respective public key to the proxy. The proxy uses the trapdoor obtained by the chooser to decrypt both ciphertexts obtained from the sender and uses the error correcting code to compute s b .