Logs are primary information resource for fault diagnosis and anomaly detection in large-
scale computer systems, but it is hard to classify anomalies from system logs. Recent studies …

Log files give insight into the state of a computer system and enable the detection of
anomalous events relevant to cyber security. However, automatically analyzing log data is …

Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …

The use of automated methods for log analysis is unavoidable in any large company;
therefore, it has attracted attention from engineers and researchers. As a result, the number …

Abstract Semantics-aware anomaly detection based on log has attracted much attention.
However, the existing methods based on the weighted aggregation of all word vectors might …

Software logging is the practice of recording different events and activities that occur within a
software system, which are useful for different activities such as failure prediction and …

Honeypots are active sensors deployed to obtain information about attacks. In their search
for vulnerabilities, attackers generate large volumes of logs, whose analysis is time …

Large-scale production systems are well known to encounter node failures, which affect
compute capacity and energy. Both in HPC systems and enterprise data centers, combating …

Logs play an important part in analyzing system behavior and diagnosing system failures.
As the basic step of log analysis, log parsing converts raw log messages into structured log …

For decades, Internet protocols have been specified using natural language. Given the
ambiguity inherent in such text, it is not surprising that protocol implementations have long …