A Two-Server Auction Scheme Ari Juels and Mike Szydlo Financial Cryptography ‘02 12 March 2002 Auctions increasingly popular 2.6 million new auctions per day on eBay in 2000 – About three auctions per year for every inhabitant of U.S. Attempted auctions (and hoaxes) in ‘99: – A healthy kidney (high bid: $5.7 million) – A military rocket launcher – 200 pounds of cocaine – A team of software engineers – A baby (high bid: $109,100) – A teenage boy selling his virginity (high bid: $10 million) popular with all sorts... Diebenkorn Shilling Case Draws FBI Probe The fallout from Kenneth A. Walton's failed eBay auction of a "great big wild abstract painting" continues today… Former Sotheby's chairman guilty BBC News, 6 December 2001 The former chairman of auction house Sotheby's has been found guilty in New York of conspiring to fix art prices after two days of jury deliberations. eBay vs. Sealed-bid Pseudonymous (eBay) •Time-bounded •Masks identities •Facilitates, e.g., shilling •Great sporting event Sealed-bid •One-round •Transparent participation •Psychologically neutral •Fungible goods •“Serious” auctions Sealed-Bid Auctions Alice Cate Bob Duke Sealed-Bid Auctions f(x1,x2,x3,x4) = winner Alice Cate x1 x3 f Bob x2 x4 Duke General Secure Multiparty Computation (GSMC ) f(x1,x2,x3,x4) = winner Alice Cate x1 x3 f Bob x2 x4 Duke The Literature on Sealed-Bid Auctions Most sealed-bid systems get away from inefficiencies of GSMC – Weakened trust models – Specifying function f as “maximum” Some tailor GSMC to auctions – JJ00 – NPS99 (Naor, Pinkas, and Sumner) NPS at a glance Winner: Cate! f Alice Bob Duke Cate Features of NPS Use of exactly two servers gives many benefits (Yao construction) One round of interaction for bidders -and no latency Any function f with efficient boolean circuit yield practical computation – Vickrey auctions – Private surveys Few rounds of communication But there’s a flaw... Trust model Auction guaranteed correct (or fails) Bids remain private Alice Bob Duke Cate Oblivious Transfer b bit b t0, t1 tb What was What was t1-b ? b? Proxy Oblivious Transfer (POT ) tb t0, t1 tb What were What was b and t1-b ? b? bit b Chooser POT in Auction tb tb f What was What was b? b? Bit b of bid Chooser The Problem With POT t0 t0 f Observed in JJ00 Bit ‘0’ in bid Chooser The Problem With POT t1 t1 f Alice’s bid has been changed! Bit ‘0’ in bid Chooser We need Verifiable POT C* = (C(t0),C(t1)) tb ,C*, tb What was What was b? b? Bit b Chooser Our Contributions We introduce very efficient VPOT primitive -- fixing security flaw in NPS With our VPOT, roughly ten times faster for bidder than NPS! – NPS: Tens of exponentiations – Ours: Tens of modular multiplications (great for cell phones) – Ours: Twice as slow for servers Idea 1: Efficiency (RSA-based OT) RSA modulus N Random C in ZN (t0, t1) (X0, X1) bit b (Y0, Y1) R ZN Xb = R3 mod N X1 = CX0 tb = Yb R Y0 = t0 / (X0)1/3 Y1 = t1 / (X1)1/3 Idea 1: Efficiency (RSA-based OT) RSA modulus N Random C in ZN bit b (X0, X1) (t0, t1) (Y0, Y1) •For technical reason, real protocol slightly different •Previous schemes typically based on, e.g., El Gamal •El-Gamal-based --> Several modular exponentiations •RSA-based --> Several modular multiplications Idea 2: Verifiability t0 t1 Bit w = 0 if t0 on left w = 1 if t0 on right Idea 2: Verifiability Prove ordering of vaults = Prove fact about single bit w Key tool: Goldwasser-Micali ‘84 Conclusion NPS clever, practical approach to sealedbid auctions With VPOT, we can bring NPS ideas to fruition High efficiency for weak bidding devices, e.g., cell phones
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