Efficient Bid Validity Check in ElGamal-Based Sealed-Bid E-Auction
Peng, Kun & Dawson, Edward P. (2007) Efficient Bid Validity Check in ElGamal-Based Sealed-Bid E-Auction. In Dawson, Edward P. & Wong, Duncan S. (Eds.) Third International Conference, ISPEC 2007: Information Security Practice and Experience, May 7-9, 2007, Hong Kong, China.
Bid opening in sealed-bid e-auction is efficient when a homomorphic encryption algorithm is employed to seal the bids and homomorphic bid opening is employed to open the bids. Such e-auction schemes are called homomorphic auctions. However, high efficiency of homomorphic auctions is based on an assumption: the bids are valid (e.g. within a special range). An undetected invalid bid can compromise correctness and fairness of the auction. Unfortunately, in most existing homomorphic auction schemes, proof and verification of validity of the bids is either ignored or too inefficient. Recently, a technique called batched bid validity check  is proposed to improve efficiency of proof and verification of bid validity in a special kind of homomorphic auction schemes: secret-sharing-based homomorphic auctions. However, secret-sharing-based homomorphic auction schemes [13, 15, 26, 24] are not a main stream in homomorphic auction schemes as they employ threshold secret sharing techniques to seal the bids. Main stream homomorphic auction schemes employ a homomorphic encryption algorithm with threshold distributed decryption to seal the bids as it is simpler and more efficient than secret sharing. In this paper, an ElGamal-encryption-based homomorphic encryption scheme is proposed. It employs a batched proof and verification of bid validity to achieve high efficiency in bid validity check. Its batch proof and verification technique is more advanced than that in , so it is simpler and more efficient than the homomorphic auction scheme in .
Citation countsare sourced monthly fromand citation databases.
These databases contain citations from different subsets of available publications and different time periods and thus the citation count from each is usually different. Some works are not in either database and no count is displayed. Scopus includes citations from articles published in 1996 onwards, and Web of Science® generally from 1980 onwards.
Citations counts from theindexing service can be viewed at the linked Google Scholar™ search.
Full-text downloadsdisplays the total number of times this work’s files (e.g., a PDF) have been downloaded from QUT ePrints as well as the number of downloads in the previous 365 days. The count includes downloads for all files if a work has more than one.
|Item Type:||Conference Paper|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > DATA FORMAT (080400) > Data Encryption (080402)|
|Divisions:||Past > QUT Faculties & Divisions > Faculty of Science and Technology|
Past > Institutes > Information Security Institute
|Copyright Owner:||Copyright 2007 Springer|
|Copyright Statement:||This is the author-version of the work. Conference proceedings published, by Springer Verlag, will be available via SpringerLink. http://www.springer.de/comp/lncs/ Lecture Notes in Computer Science|
|Deposited On:||17 Oct 2008|
|Last Modified:||01 Mar 2012 12:15|
Repository Staff Only: item control page