SI-8(3) Continuous Learning Capability

Control enhancement of SI-8 Spam Protection

Control

Implement spam protection mechanisms with a learning capability to more effectively identify legitimate communications traffic.

Discussion

Learning mechanisms include Bayesian filters that respond to user inputs that identify specific traffic as spam or legitimate by updating algorithm parameters and thereby more accurately separating types of traffic.

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Control catalog and framework text on this page is reproduced from official NIST publications — a public-domain work of the U.S. Government (17 U.S.C. §105). Maverc commentary, groupings, and readiness guidance are our own and are not part of any NIST publication.