Proximity User Identification Using Correlogram

@inproceedings{Shahidi2010ProximityUI,
  title={Proximity User Identification Using Correlogram},
  author={Shervin Shahidi and Parisa Mazrooei and Navid Nasr Esfahani and Mohammad Saraee},
  booktitle={Intelligent Information Processing},
  year={2010}
}
This paper represents a technique, applying user action patterns in order to distinguish between users and identify them. In this method, users’ actions sequences are mapped to numerical sequences and each user's profile is generated using autocorrelation values. Next, cross-correlation is used to compare user profiles with a test data. To evaluate our proposed method, a dataset known as Greenberg's dataset is used. The presented approach is succeeded to detect the correct user with as high as… CONTINUE READING

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