Abstract
Statistical database (SDB) provides statistics (such as sum, average, etc.) on subsets of records, and individuals' data should not be disclosed. Key representation auditing scheme (KRAS) is proposed to guarantee the security of online and dynamic SDBs. The core idea is to convert the original database into key representation database (KRDB), and convert each new query from string representation into key representation query (KRQ) and store it in the audit query table (AQ table). Three audit stages are proposed to protect SDBs from being disclosed. Also, cost estimation for this scheme is performed, and we illustrate the savings in CPU time and storage space using KRDB. In this paper, we provide statistical analysis to compare between the means/variances of the original database and the KRDB populations. Comparisons are provided in terms of record size and number of blocks. The results of the tests showed that the differences are statistically significant.
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