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ijcrb.webs.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS JUNE 2011 VOL 3, NO 2 4-Anonymity: Achieving 4-anonymity on the given data, in table 4 we get Zip Code Age Gender Nationality Condition 02110 30 M Pakistan HIV 02115 34 F Pakistan Flue 02118 37 F China Vomiting 02130 20 M China Chest Pain 02135 21 M Japan Flue 02139 35 M Japan Viral Infection 02144 42 F Japan Cancer 02147 46 F Russia Fever 02011 39 F England Heart Disease 02016 30 M America Heart Disease 02021 43 M America Hypertension 02028 25 M America Flue 02035 30 F France Viral Infection 02036 24 F France Obesity 02041 4. 33 M France Heart Disease 02049 29 M Canada Fever Zip Code Age Gender Nationality Condition 021**
ijcrb.webs.com INTERDISCIPLINARY JOURNAL OF CONTEMPORARY RESEARCH IN BUSINESS JUNE 2011 VOL 3, NO 2 5.1.3 Categorical variables: A variable that has two or more categories is called categorical variable. To measure Data Loss for categorical attribute, for example Nationality and Gender, we consider its level that is, current level and maximum level. Such as Here ‘C’ is the current level of generalization and ‘G’ is the Maximum level of generalization. 5.2 Probability of Threats Measure: The probability of threats measurement is used to calculate the chances an intruder may find to anonymize individuals. In other words, we can say that how much the released data is secured? For this purpose, different formulas are used according to the nature of quasi-identifier. 5.2.1 Discrete Variables: We use the following formulas to calculate Probability of Threats for discrete variable (if one digit is missing) (if two digit is missing) While Security is measured with the following formula Here ‘P’ denotes Probability of Threats and ‘S’ denotes Security. 5.2.2 Continuous variables: To calculate Probability of Threats for a Continuous variable, we use the following formula For example, if we generalized 21 to 40, then its probability of threats will be = 0.025 5.2.3 Categorical variables: To calculate probability of threat for categorical attributes, the formula is For example, if we write ‘Pakistan’ as ‘Asia’ (Asia contains 3 child node), then = 0.33 6. DATA LOSS AND PROBABILITY OF THREATS AT THE COLUMN AND TABLE LEVEL Data loss at the column level can be calculated as following Here i = 1, 2, 3… n represent the number of rows in the jth column. While probability of threats at the column level can be measured as following: COPY RIGHT © 2011 Institute of Interdisciplinary Business Research 309
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