The practice of identifying an unusual or unexpected signal in data. Anomaly detection has numerous uses such as fault diagnosis, fraud and intrusion detection.
In a privacy context, anomaly detection is an approach to targeted surveillance which enables machine learning models to analyse video feeds in real time. Anomaly detection techniques could also be used by adversaries looking for unusual patterns as the basis of a fishing attack.
Further reading:
See also: SURVEILLANCE, INTRUSION DETECTION SYSTEM, SPECIAL UNIQUE
Chandola, V., Banerjee, A. and Kumar, V., 2009. Anomaly detection: a survey. ACM Computing Surveys (CSUR), 41(3), 1–58, https://doi.org/10.1145/1541880.1541882.
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Chandola, V., Banerjee, A. and Kumar, V., 2009. Anomaly detection: a survey. ACM Computing Surveys (CSUR), 41(3), 1–58, https://doi.org/10.1145/1541880.1541882.
