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We propose an extension of \u201cColor Indexes\u201d, a secure indexing technique introduced by Hore et al. The design utilizes false positive search results to hide sensitive information and allows users to adjust security level in trade-off with the performance by tuning system parameters. We focus mainly on improving practicality of the indexes on real world application, especially, analyzing and conducting experiments on the effects of skewed keyword distribution and document sizes. To handle skewed datasets, we recommend using a second level hash function to prevent information leakage from color statistic and using a sampling based technique for more accurate error prediction. 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