We study the complexity of secure computation in the tamperproof hardware token model. Our main focus is on non-interactive unconditional two-party computation using bit-OT tokens, but we also study computational security with stateless tokens that have more complex functionality. Our results can be summarized as follows:<\/p>\n
There exists a class of functions such that the number of bit-OT tokens required to securely implement them is at least the size of the sender\u2019s input. The same applies for receiver\u2019s input size (with a different class of functionalities).<\/p>\n<\/li>\n
Non-adaptive protocols in the hardware token model imply efficient (decomposable) randomized encodings. This can be interpreted as evidence to the impossibility of non-adaptive protocols for a large class of functions.<\/p>\n<\/li>\n
There exists a functionality for which there is no protocol in the stateless hardware token model accessing the tokens at most a constant number of times, even when the adversary is computationally bounded.<\/p>\n<\/li>\n<\/ul>\n<\/div>\n<\/div>\n
En route to proving our results, we make interesting connections between the hardware token model and well studied notions such as OT hybrid model, randomized encodings and obfuscation<\/em>.<\/p>\n","protected":false},"excerpt":{"rendered":" We study the complexity of secure computation in the tamperproof hardware token model. Our main focus is on non-interactive unconditional two-party computation using bit-OT tokens, but we also study computational security with stateless tokens that have more complex functionality. 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