Abstract: A method of detecting anomalous transactions in computer network log files includes obtaining an event log file that includes a plurality of lines of log output associated with respective transactions, obtaining a log entry pattern for a transaction type, the log entry pattern including a plurality of log entries associated with normal behavior of transactions of the transaction type, identifying a plurality of log entries associated with a transaction of the transaction type, comparing the plurality of log entries to the log entry pattern, and determining that the transaction is an anomalous transaction in response to the comparison.

Abstract: A processor of an electronic device receives a personal identification number (PIN) having a sequence of numeric digits. For each digit of the PIN, a fingerprint scan is received from a fingerprint detector, and is registered as associated with the digit of the PIN. Subsequently, when a fingerprint scan matches the fingerprint scan that was registered for the digit of the PIN, the operations increment the PIN digit counter. In contrast, when the fingerprint scan does not match the fingerprint scan that was registered for the digit of the PIN, but does match the fingerprint scan that was registered for the next one of the PIN digits, the next PIN digit counter is incremented. When a PIN entry completion condition is satisfied, the operations selectively allow electronic access by a user to an application based on determining whether the sequence of PIN digit counters contain values matching the PIN.