Learning Autonomic Security Reconfiguration Policies
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- @InProceedings{Tapiador:2010:CIT,
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author = "Juan E. Tapiador and John A. Clark",
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title = "Learning Autonomic Security Reconfiguration Policies",
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booktitle = "IEEE 10th International Conference on Computer and
Information Technology (CIT)",
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year = "2010",
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pages = "902--909",
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month = jun,
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publisher = "IEEE",
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keywords = "genetic algorithms, genetic programming",
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DOI = "doi:10.1109/CIT.2010.168",
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abstract = "We explore the idea of applying machine learning
techniques to automatically infer risk-adaptive
policies to reconfigure a network security architecture
when the context in which it operates changes. To
illustrate our approach, we consider the case of a
MANET where nodes carrying sensitive services (e.g.,
web servers, key repositories, etc.) should consider
relocating themselves into a different node to
guarantee proper functioning. We use simulation to
derive properties from a candidate policy, and then
apply Genetic Programming and Multi-Objective
Optimisation techniques to search for optimal
candidates. The inferred policies take the form of
risk-aware service relocation algorithms that
autonomously dictate when and how to relocate services
with the aim of keeping risk to a minimum. Since
security policies often have implications in dimensions
other than security, we force the learning process to
consider also the consequences (performance, usability)
of a given policy.",
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notes = "Also known as \cite{5578469}",
- }
Genetic Programming entries for
Juan Manuel Estevez-Tapiador
John A Clark
Citations