Systems and methods for identifying network component failures by automatically identifying and filtering anomalous log entries

A computer program product for identifying network component failures by automatically identifying and filtering anomalous log entries, wherein the computer program product comprises at least one non-transitory computer-readable medium having computer-readable program code portions embodied therein, the computer-readable program code portions which when executed by a processing device are configured to cause the processor to:

• identify at least one new log entry associated with a system component, wherein the at least one new log entry comprises a plurality of characters and punctuation marks;
• determine at least one new punctuation string from the at least one new log entry, wherein the at least one new punctuation string comprises the punctuation marks;
• identify at least one historical punctuation string associated with the system component;
• compare the at least one new punctuation string to the at least one historical punctuation string associated with the system component;
• determine, based on the comparison of the at least one new punctuation string to the at least one historical punctuation string, a difference value between the at least one new punctuation string and the at least one historical punctuation string;
• compare the difference value to a difference threshold;
• and
• determine, based on the comparison of the difference value to the difference threshold, a presence of an anomaly in the system component.

A computer implemented method for identifying network component failures by automatically identifying and filtering anomalous log entries, the computer implemented method comprising:

• identifying at least one new log entry associated with a system component, wherein the at least one new log entry comprises a plurality of characters and punctuation marks;
• determining at least one new punctuation string from the at least one new log entry, wherein the at least one new punctuation string comprises the punctuation marks;
• identifying at least one historical punctuation string associated with the system component;
• comparing the at least one new punctuation string to the at least one historical punctuation string associated with the system component;
• determining, based on the comparison of the at least one new punctuation string to the at least one historical punctuation string, a difference value between the at least one new punctuation string and the at least one historical punctuation string;
• comparing the difference value to a difference threshold;
• and
• determining, based on the comparison of the difference value to the difference threshold, a presence of an anomaly in the system component.