Virtual Labs

Why can aggregate queries still cause privacy issues in statistical databases?

a: Because aggregate queries always expose individual records Explanation

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b: Because attackers can combine multiple query results to infer private data Explanation

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c: Because aggregate queries are slower to execute Explanation

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d: Because aggregate queries modify the database Explanation

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What happens when noise addition is applied to aggregate query results?

a: Exact query results are returned every time Explanation

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b: Queries are completely blocked Explanation

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c: Small random variations are introduced into the results Explanation

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d: Only encrypted values are returned Explanation

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If a query result includes fewer records than the threshold k, what should the system do?

a: Return the result with a warning Explanation

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b: Increase the result value automatically Explanation

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c: Suppress or block the query output Explanation

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d: Store the result for later access Explanation

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Which defense mechanism directly limits how often queries can be executed?

a: Noise Addition Explanation

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b: k-Anonymity Explanation

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c: Rate Limiting Explanation

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d: Differencing Attack Explanation

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Why are differencing attacks dangerous in statistical databases?

a: They delete records from the database Explanation

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b: They exploit differences between similar queries to reveal private data Explanation

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c: They slow down the database server Explanation

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d: They bypass authentication mechanisms Explanation

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What is the main goal of statistical inference control mechanisms?

a: To eliminate the need for aggregate queries Explanation

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b: To improve database performance Explanation

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c: To prevent leakage of individual information from aggregate results Explanation

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d: To allow unrestricted access to statistical data Explanation

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Statistical Inference Control