P-Gram: Positional N-Gram for the Clustering of Machine-Generated Messages

P-Gram: Positional N-Gram for the Clustering of Machine-Generated Messages

An IT system generates messages for other systems or users to consume, through direct interaction or as system logs. Automatically identifying the types of these machine-generated messages has many applications, such as intrusion detection and system behavior discovery. Among various heuristic metho...

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Bibliographic Details
Main Authors: Jiaojiao Jiang, Steve Versteeg, Jun Han, Md Arafat Hossain, Jean-Guy Schneider, Christopher Leckie, Zeinab Farahmandpour
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Machine-generated messages
positional <italic xmlns:ali="http://www.niso.org/schemas/ali/1.0/" xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">n</italic>-gram
clustering
Online Access:https://ieeexplore.ieee.org/document/8746188/

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https://ieeexplore.ieee.org/document/8746188/

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