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  • 标题:Sequential clustering algorithms for anonymizing social
  • 本地全文:下载
  • 作者:P.MohanaLakshmi ; P.Balaji ; P.Nirupama
  • 期刊名称:International Journal of Engineering and Computer Science
  • 印刷版ISSN:2319-7242
  • 出版年度:2014
  • 卷号:3
  • 期号:7
  • 页码:7213-7216
  • 出版社:IJECS
  • 摘要:The privacy-preservation in social networks is major problem in now-a-days. In distributed setting the complexdata is divide between several data holders. The target is to appear at an anonymized view of the unified network withoutilluminating to any of the data holders information about links between nodes that are hold by other data holders. To thatfinish, in centralized setting two variants of an anonymization algorithm are offered which is based on sequential clustering(Sq). Proposed algorithms substantially break the SaNGreeA algorithm due to Campan and Truta which is the primaryalgorithm for achieving anonymity in networks by means of clustering and then secure distributed versions of algorithms. Tothe top of awareness, this is the earliest study of privacy preservation in distributed social networks. Finally, conclude byoutlining potential research proposals in that path.
  • 关键词:social networks; clustering; privacy preservation;distributed computation
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