Anomaly Detection

A security technique identifying unusual patterns or deviations from normal network behavior using statistical analysis or machine learning. In telecom, anomaly detection systems monitor signaling traffic, call patterns, and data flows to flag potential attacks.

Categories: SignalingThreats and Attacks

Anomaly Detection in context

Signaling protocols carry the control-plane messages that set up calls, register subscribers and route SMS. SS7, Diameter, GTP-C and SIP are the four dominant families, and interconnect exposure of any of them is treated by GSMA as top-tier telecom risk.

Telecom threats range from opportunistic SMS phishing and SIM swap to nation-state grade location tracking. The common thread is that most attacks exploit the inherited trust model of legacy signaling protocols.

To place Anomaly Detection in the wider telecom-security picture, review Attack Surface Mapping, DDoS, Denial of Service (DoS), Exposure Mapping, Global Title Abuse and Indicators of Compromise (Telecom IoCs) — each entry cross-references back to this page so you can walk the topic in either direction.

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