Learning Autonomic Security Reconfiguration Policies

Created by W.Langdon from gp-bibliography.bib Revision:1.8051

@InProceedings{Tapiador:2010:CIT,

• author = "Juan E. Tapiador and John A. Clark",
• title = "Learning Autonomic Security Reconfiguration Policies",
• booktitle = "IEEE 10th International Conference on Computer and Information Technology (CIT)",
• year = "2010",
• pages = "902--909",
• month = jun,
• publisher = "IEEE",
• keywords = "genetic algorithms, genetic programming",
• DOI = "doi:10.1109/CIT.2010.168",
• 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.",
• notes = "Also known as \cite{5578469}",

}

Genetic Programming entries for Juan Manuel Estevez-Tapiador John A Clark

Citations