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 instructions that set up calls, register subscribers, hand over sessions 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 FS.11 / FS.19 / FS.20 as a top-tier telecom risk.

Telecom threats range from opportunistic SMS phishing and SIM swap to nation-state grade location tracking and lawful-interception abuse. The common thread is that most attacks exploit the inherited trust model of legacy signaling. SS7 and Diameter were designed for a closed operator community that no longer exists.

To place Anomaly Detection in the wider telecom-security picture, review Traffic Baselining, Attack Surface Mapping, Indicators of Compromise (Telecom IoCs), Vulnerability Assessment, Threat Hunting (Telecom) and GSMA T-ISAC.

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