emailfiltering
Email filtering is the process of inspecting email messages to identify and separate unwanted content from legitimate mail. It is used to reduce spam, protect users from phishing and malware, and enforce organizational policies.
Filters use multiple signals: content analysis (keywords, heuristics, Bayesian scoring), metadata (sender reputation, headers), and external
Common types include inbound spam filtering, phishing and malware detection, attachment scanning, and outbound filtering for
Deployment options include on-premises gateways, cloud-based services, and client-side plugins. Filters may operate at the mail
Evaluation and challenges: performance is assessed by precision, recall, F1 score, and ROC curves. High precision
History: early approaches used basic keywords and rules; the 1990s saw Bayesian filtering, followed by data-driven