Challenge 24 - Fraudulent Email Address Detection

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Fraudulent Email Address Detection

In this challenge you will take the role of cybersecurity analyst trying to see if you can identify emails that trying to pass as legitimate when in fact they are malicious.

You notice that bad-actor emails try to trick the receiver by mimicking major email domains. For instance, you notice that @gnail, @gmial, etc. are trying to pass as @gmail. Therefore, you decide to get a count of all the domains. Those that have the lowest count are probably fraudulent. However, you must also check whether those low-count email domains are trying to pose as the major emails domains or not.

Challenge Level: Medium

Hints:
1. Make sure your answer does not mark @unique.com as fraud.
2. Checking for similarity might help.
3. Try not to hard-code any variables in your workflow, but instead use the mean or median for instance.

Nodes

• Math Formula2 ×
• Numeric Row Splitter2 ×
• Table Row to Variable2 ×
• CSV Reader1 ×
• Cell Splitter1 ×
• Show all 8 nodes

Extensions

• FeatureKNIME Base nodes
• FeatureKNIME Distance Matrix
• FeatureKNIME Math Expression (JEP)

Links

• No links available