Detecting sensitive data disclosure via bi-directional text correlation analysis

Abstract

research-article Public Access Share on Detecting sensitive data disclosure via bi-directional text correlation analysis Authors: Jianjun Huang Purdue University, USA Purdue University, USAView Profile , Xiangyu Zhang Purdue University, USA Purdue University, USAView Profile , Lin Tan University of Waterloo, Canada University of Waterloo, CanadaView Profile Authors Info & Claims FSE 2016: Proceedings of the 2016 24th ACM SIGSOFT International Symposium on Foundations of Software EngineeringNovember 2016 Pages 169–180https://doi.org/10.1145/2950290.2950348Published:01 November 2016Publication History 12citation594DownloadsMetricsTotal Citations12Total Downloads594Last 12 Months68Last 6 weeks4 Get Citation AlertsNew Citation Alert added!This alert has been successfully added and will be sent to:You will be notified whenever a record that you have chosen has been cited.To manage your alert preferences, click on the button below.Manage my AlertsNew Citation Alert!Please log in to your account

BibTeX

@inproceedings{Huang-al:FSE16,
  author    = {Jianjun Huang and
               Xiangyu Zhang and
               Lin Tan},
  title     = {Detecting sensitive data disclosure via bi-directional text correlation analysis},
  booktitle = {FSE},
  pages     = {169--180},
  publisher = {{ACM}},
  year      = {2016},
}

Detecting sensitive data disclosure via bi-directional text correlation analysis

Abstract

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