Data De-anonymization : From Mobility Traces to On-line Social Networks

@inproceedings{Ji2014DataD,
  title={Data De-anonymization : From Mobility Traces to On-line Social Networks},
  author={Shouling Ji and Weiqing Li and Mudhakar Srivatsa and Raheem Beyah},
  year={2014}
}
When people utilize social applications and services, their privacy suffers potential serious threat. In this paper, we present a novel, robust, and effective de-anonymization attack to mobility trace data and social data. First, we design a Unified Similarity (US) measurement which takes account of local and global structural characteristics of data, information obtained from auxiliary data, and knowledge inherited from on-going de-anonymization results. By analyzing the measurement on real… CONTINUE READING

References

Publications referenced by this paper.
Showing 1-10 of 52 references

Robust De-anonymization of Large Sparse Datasets

2008 IEEE Symposium on Security and Privacy (sp 2008) • 2008
View 6 Excerpts
Highly Influenced

DSybil: Optimal Sybil-Resistance for Recommendation Systems

2009 30th IEEE Symposium on Security and Privacy • 2009
View 5 Excerpts
Highly Influenced

Similar Papers

Loading similar papers…