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Categorization of Phishing Detection Features And Using the Feature Vectors to Classify Phishing Websites by Havana NamasivayamA Thesis Presented in Partial Fulfillment of the Requirements for the

How to fill out categorization of phishing detection

How to fill out categorization of phishing detection

1. To fill out the categorization of phishing detection, follow these steps:
2. Begin by identifying the target website or platform that you want to categorize for phishing detection.
3. Analyze and understand the common characteristics of phishing attacks specific to your target platform.
4. Create a list of categories that accurately describe and categorize different types of phishing attacks.
5. Assign each category a unique identifier or label for easy reference and organization.
6. Develop a set of criteria or parameters for each category that can be used to determine if a specific instance of a phishing attack falls into that category.
7. Test and refine your categorization system by labelling known phishing attacks and validating if they are correctly categorized.
8. Continuously update and adapt your categorization system as new phishing attack techniques emerge.
9. Document and communicate the categorization system to relevant stakeholders to ensure consistent usage and understanding.
10. Train relevant personnel on how to use the categorization system effectively and efficiently for phishing detection.
11. Regularly review and evaluate the effectiveness of the categorization system to ensure it remains relevant and accurate.

Who needs categorization of phishing detection?

1. Individuals and organizations involved in cybersecurity, fraud prevention, or threat intelligence would require categorization of phishing detection.
2. Security teams within companies, financial institutions, and governmental agencies would benefit from such categorization to enhance their phishing detection capabilities.
3. Technology companies and service providers offering products or services related to phishing detection would also need accurate categorization to improve their offerings.
4. Researchers and analysts studying phishing attacks would find categorization beneficial for organizing and understanding different types of phishing attempts.
5. Any individual or entity that wants to enhance their awareness and understanding of phishing attacks would find value in utilizing categorization for detection purposes.

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