What is meant by Spam analysis?
The term "spam analysis" refers to the examination and evaluation of emails to determine whether they contain unwanted advertising, fraudulent content, or other spam patterns. The goal of spam analysis is to identify and filter out such emails to protect users from potential threats and improve communication efficiency. This analysis can be conducted at various levels, including content analysis, sender information, and behavioral patterns.
Typical software functions in the area of "spam analysis":
- Content Analysis: Examination of the email content for typical spam indicators such as keywords, phrases, and links.
- Sender Verification: Checking the email address and domain of the sender for known spam sources or suspicious patterns.
- Behavioral Analysis: Analyzing email behavior, such as sending frequency and recipient reactions, to identify spam patterns.
- Blacklists: Matching sender addresses and domains against blacklists of known spam senders.
- Whitelists: Managing whitelists to ensure legitimate emails are not mistakenly flagged as spam.
- Machine Learning: Using machine learning algorithms to recognize patterns and trends in spam messages and continuously learn.
- Notifications and Reporting: Generating reports and alerts about detected spam messages and their sources.