שאלה | A government agency releases an anonymized dataset on heart disease. The dataset ensures each group contains multiple people (K-Anonymity) and different diseases (L-Diversity). However, in one small town, the percentage of patients with heart disease in the dataset is 80%, whereas in the general population, it is only 10%. A researcher analyzing the data realizes that most residents in that town likely have heart disease. What anonymization principle was violated?

A government agency releases an anonymized dataset on heart disease. The dataset ensures each group contains multiple people (K-Anonymity) and different diseases (L-Diversity). However, in one small town, the percentage of patients with heart disease in the dataset is 80%, whereas in the general population, it is only 10%. A researcher analyzing the data realizes that most residents in that town likely have heart disease. What anonymization principle was violated?

		K-Anonymity – The group size was too small.
		L-Diversity – There was not enough variation in diseases.
		T-Closeness – The disease distribution in the dataset was too different from reality.
		Differential Privacy – The dataset failed to prevent reidentification with added noise.

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