@article{(Open Science Index):https://publications.waset.org/pdf/12652,
	  title     = {On Identity Disclosure Risk Measurement for Shared Microdata},
	  author    = {M. N. Huda and  S. Yamada and  N. Sonehara},
	  country	= {},
	  institution	= {},
	  abstract     = {Probability-based identity disclosure risk
measurement may give the same overall risk for different
anonymization strategy of the same dataset. Some entities in the
anonymous dataset may have higher identification risks than the
others. Individuals are more concerned about higher risks than the
average and are more interested to know if they have a possibility of
being under higher risk. A notation of overall risk in the above
measurement method doesn-t indicate whether some of the involved
entities have higher identity disclosure risk than the others. In this
paper, we have introduced an identity disclosure risk measurement
method that not only implies overall risk, but also indicates whether
some of the members have higher risk than the others. The proposed
method quantifies the overall risk based on the individual risk values,
the percentage of the records that have a risk value higher than the
average and how larger the higher risk values are compared to the
average. We have analyzed the disclosure risks for different
disclosure control techniques applied to original microdata and
present the results.},
	    journal   = {International Journal of Computer and Information Engineering},
	  volume    = {4},
	  number    = {10},
	  year      = {2010},
	  pages     = {1496 - 1503},
	  ee        = {https://publications.waset.org/pdf/12652},
	  url   	= {https://publications.waset.org/vol/46},
	  bibsource = {https://publications.waset.org/},
	  issn  	= {eISSN: 1307-6892},
	  publisher = {World Academy of Science, Engineering and Technology},
	  index 	= {Open Science Index 46, 2010},
	}