QuestionQ17

Using AI for Testing

A company uses a spam filter to try to identify which emails should be marked as spam. The filter creates detection rules that cause a message to be categorized as spam. An attacker wants every message internal to the company to be categorized as spam. Therefore, the attacker sends messages with obvious red flags in the email body and alters the from portion to make the emails appear to have been sent by company members. The testers plan to use exploratory data analysis (EDA) to detect the attack and use this information to prevent future adversarial attacks.

How can EDA be used to detect this attack?

Explanation

Exploratory data analysis can reveal anomalous emails by comparing their sender, body-content, and other feature patterns with those of legitimate internal messages. Emails that imitate internal senders while containing unusually obvious spam indicators are outliers in the normal internal-email distribution.

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