Unsupervised signature extraction from forensic logs

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4 Citaten (Scopus)
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Samenvatting

Signature extraction is a key part of forensic log analysis. It involves recognizing patterns in log lines such that log lines that originated from the same line of code are grouped together. A log signature consists of immutable parts and mutable parts. The immutable parts define the signature, and the mutable parts are typically variable parameter values. In practice, the number of log lines and signatures can be quite large, and the task of detecting and aligning immutable parts of the logs to extract the signatures becomes a significant challenge. We propose a novel method based on a neural language model that outperforms the current state-of-the-art on signature extraction. We use an RNN auto-encoder to create an embedding of the log lines. Log lines embedded in such a way can be clustered to extract the signatures in an unsupervised manner.
Originele taal-2Engels
TitelMachine Learning and Knowledge Discovery in Databases
SubtitelEuropean Conference, ECML PKDD 2017, Skopje, Macedonia, September 18–22, 2017, Proceedings, Part III
RedacteurenMichelangelo Ceci, Saso Dzeroski, Donato Malerba, Yasemin Altun, Kamalika Das, Jesse Read, Marinka Zitnik, Jerzy Stefanowski, Taneli Mielikäinen
Plaats van productieDordrecht
UitgeverijSpringer
Pagina's305-316
Aantal pagina's12
ISBN van elektronische versie978-3-319-71273-4
ISBN van geprinte versie978-3-319-71272-7
DOI's
StatusGepubliceerd - 2017
EvenementEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 18–22, 2017, Skopje, Macedonia - Skopje, Macedonië
Duur: 18 sep 201722 sep 2017
http://ecmlpkdd2017.ijs.si/index.html

Publicatie series

NaamLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10536 LNAI
ISSN van geprinte versie0302-9743
ISSN van elektronische versie1611-3349

Congres

CongresEuropean Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, September 18–22, 2017, Skopje, Macedonia
Verkorte titelECML PKDD 2017
LandMacedonië
StadSkopje
Periode18/09/1722/09/17
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