Semantic Mediation for A Posteriori Log Analysis
Author(s) -
Farah Dernaïka,
Nora Cuppens-Boulahia,
Frédéric Cuppens,
Olivier Raynaud
Publication year - 2019
Publication title -
proceedings of the 17th international conference on availability, reliability and security
Language(s) - English
Resource type - Conference proceedings
ISBN - 978-1-4503-7164-3
DOI - 10.1145/3339252.3340104
Subject(s) - computer science , information retrieval , suspect , context (archaeology) , a priori and a posteriori , data mining , paleontology , philosophy , epistemology , political science , law , biology
The a posteriori access control mode consists in monitoring actions performed by users, to detect possible violations of the security policy and to apply sanctions or reparations. In general, logs are among the first data sources that information security specialists consult for forensics when they suspect that something went wrong. One difficult challenge we face when analyzing logs, is the multiple log file formats. However, normalizing logs in one format needs a lot of processing especially because log files usually contain a high volume of data. Our study proposes then to tackle this problem, by leaving the different log formats as they are, and retrieving information from logs by querying them. A semantic mediator makes it possible to inter-operate various sources of information without modifying their internal functioning. It can be responsible for locating data sources, to transmit queries to each source, or from one source to another, to retrieve the queries responses and possibly send them back to other sources. To the best of our knowledge, semantic mediation techniques have been used to share information from heterogeneous data sources, but they were never used in the context of log analysis.
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