NDLI: Using homomorphic encryption to secure the combinatorial spectrum auction without the trustworthy auctioneer

Content Provider	Springer Nature Link
Author	Pan, Miao Zhu, Xiaoyan Fang, Yuguang
Copyright Year	2011
Abstract	Spectrum auction is an enabling technology for improving the spectrum efficiency of unused licensed bands (white spaces) in wireless networks. However, the back-room dealing (i.e., the frauds of the untrustworthy auctioneer and the bid-rigging between the greedy bidders and the insincere auctioneer) poses serious security challenges, leading to failures of all existing secure auction designs in allocating spectrum bands. In this paper, we propose a secure combinatorial spectrum auction (SCSA) by utilizing homomorphic encryption to prevent the back-room dealing. The idea in SCSA is to incorporate cryptographic techniques into the spectrum auction to address the frauds and bid-rigging. It computes and reveals the results of spectrum auction while the actual bidding values of bidders are kept confidential. SCSA also provides a corresponding procedure in implementing the combinatorial spectrum auction under the interference constraints. We show that compared with existing secure spectrum auction designs against the untrustworthy auctioneer, SCSA is much more efficient in both communication and computational complexity; and compared with other spectrum auction designs with security consideration, SCSA can effectively thwart the back-room dealings due to the untrustworthy auctioneer without too much performance degradation.
Starting Page	113
Ending Page	128
Page Count	16
File Format	PDF
ISSN	10220038
Journal	Wireless Networks
Volume Number	18
Issue Number	2
e-ISSN	15728196
Language	English
Publisher	Springer US
Publisher Date	2011-10-08
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Cognitive radio Secure spectrum auctions Homomorphic encryption Untrustworthy auctioneer Business Information Systems Communications Engineering, Networks Computer Communication Networks Electrical Engineering
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Information Systems Electrical and Electronic Engineering

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