US Patent 11777988 Probabilistically identifying anomalous honeypot activity

Disclosed herein are methods, systems, and processes for probabilistically identifying anomalous levels of honeypot activity. A honeypot dataset associated with a honeypot network is received and a representative usage value is determined from the honeypot dataset. The representative usage value is identified as being associated with anomalous behavior if the representative usage value deviates from an expected probability distribution. A remediation operation is initiated in the honeypot network in response to the identification of the representative usage value as being associated with the anomalous behavior by virtue of the representative usage value deviating from the expected probability distribution.