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  • 标题:A Survey: FP Tree Algorithm with and Without Trusted Party for Environmentally Distributed Databases
  • 本地全文:下载
  • 作者:Raghvendra Kumar ; Ashish Jaiswal ; Divyarth Rai
  • 期刊名称:International Journal of Innovative Research in Computer and Communication Engineering
  • 印刷版ISSN:2320-9798
  • 电子版ISSN:2320-9801
  • 出版年度:2013
  • 卷号:1
  • 期号:9
  • 出版社:S&S Publications
  • 摘要:Data mining technology has emerged as a means of Identifying patterns and trends from large quantities of data. Mining rule is important data mining problem .To solve mining rule problem many technique are available example Apriori, FP Tree. FP Tree Algorithm has wide distribution to find relationship between among the attribute in database. The privacy co ncept arises when the data is distributed in the environment, concept of privacy arises here so that no any unauthorized person not able to decrypt the data and see the result. For this we used hash based secure sum cryptography technique because when the party to find the global result may be that result is frequent or infrequent. That's why privacy concept is arises with and without trusted party. In this paper we co mpare the result privacy preserving technique with and without trusted party for horizontal partitioned database with the help of FP Tree Algorithm. And provide high privacy to datab ase with percentage of data leakage is zero percent.
  • 关键词:Data mining; Distributed database; Privacy preserving FP tree algorithm; Cryptography technique; horizontal partitioned database; Secure Sum
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