Selecting key generating elliptic curves for Privacy Preserving Association Rule Mining (PPARM)

Amiruddin, Riri Fitri Sari

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

1 Citation (Scopus)

Abstract

Privacy Preservation in Data Mining (PPDM) including for Privacy Preserving Association Rule Mining (PPARM) has attracted lots of attention in recent research and practice. However, the current method or approach still have drawbacks in the sense that there are trade-offs between efficiency and privacy preservation. This paper describes our work towards providing a new efficient PPARM protocol. We reviewed current literature on PPARM and mapped the methods or approaches involved. As previous research showed that Elliptic Curve Cryptography (ECC) perform better than the other Public Key systems such as RSA and Diffie-Hellman, we will utilize ECC for reducing the computational cost of the new PPARM protocol. In choosing good elliptic curves for ECC, we measured the running time of the key generation for various group of recommended elliptic curves i.e. Brainpool curves (by Brainpool), Prime, C2pnb, C2tnb curves (by ANSI X9.62), Secp curves (by SECG), and PrimeCurve curves (by CDC Group). As the result, Secp curves outperformed all of the other curves on overall average ratio of running time and key size of key generation by 4.4% up to 357.6%.

Original languageEnglish
Title of host publicationAPWiMob 2015 - IEEE Asia Pacific Conference on Wireless and Mobile
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages72-77
Number of pages6
ISBN (Electronic)9781479982905
DOIs
Publication statusPublished - 7 Jan 2016
EventIEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2015 - Bandung, Indonesia
Duration: 27 Aug 201529 Aug 2015

Publication series

NameAPWiMob 2015 - IEEE Asia Pacific Conference on Wireless and Mobile

Conference

ConferenceIEEE Asia Pacific Conference on Wireless and Mobile, APWiMob 2015
Country/TerritoryIndonesia
CityBandung
Period27/08/1529/08/15

Keywords

  • Association rule mining
  • Elliptic Curve Cryptography
  • Multiparty Computation
  • Privacy-Preserving

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