
Key Recovery Using Noised Secret Sharing with Discounts over Large Clouds
Jajodia, Sushil; Litwin, Witold; Schwarz, Thomas (2013), Key Recovery Using Noised Secret Sharing with Discounts over Large Clouds, in Chang, L.W.; Srivastava, Jaideep; Zhan, Justin, 2013 International Conference on Social Computing (SocialCom), IEEE : Piscataway, NJ, p. 700-707. 10.1109/SocialCom.2013.105
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Type
Communication / ConférenceDate
2013Conference title
2013 International Conference on Social Computing (SocialCom)Conference date
2013-09Conference city
Washington, DCConference country
United StatesBook title
2013 International Conference on Social Computing (SocialCom)Book author
Chang, L.W.; Srivastava, Jaideep; Zhan, JustinPublisher
IEEE
Published in
Piscataway, NJ
ISBN
978-0-7695-5137-1
Number of pages
1094Pages
700-707
Publication identifier
Metadata
Show full item recordAuthor(s)
Jajodia, SushilInterdisciplinary Center for Economic Science, George Mason University
Litwin, Witold
Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision [LAMSADE]
Schwarz, Thomas
Université d'Uruguay
Abstract (EN)
Encryption key loss problem is the Achilles's heel of cryptography. Key escrow helps, but favors disclosures. Schemes for recoverable encryption keys through noised secret sharing alleviate the dilemma. Key owner escrows a specifically encrypted backup. The recovery needs a large cloud. Cloud cost, money trail should rarefy illegal attempts. We now propose noised secret sharing schemes supporting discounts. The recovery request with discount code lowers the recovery complexity, easily by orders of magnitude. A smaller cloud may suffice for the same recovery timing. Alternatively, same cloud may provide faster recovery etc. Our schemes appear useful for users attracted to Big Data, but afraid of possibly humongous consequences of the key loss or data disclosure.Subjects / Keywords
Big data; Key recovery; Privacy; Noise; Complexity theory; Timing; Encryption; Information management; Data handlingRelated items
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