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Author: Rafał Pokrywka

Affiliation: AGH University of Science and Technology;Softq s.c., Portugal

Keyword(s): Pattern extraction, Artificial immune system, Multiagent system.

Related Ontology Subjects/Areas/Topics: Agents ; Artificial Intelligence ; Artificial Intelligence and Decision Support Systems ; Business Analytics ; Data and Information Retrieval ; Data Engineering ; Distributed and Mobile Software Systems ; Enterprise Information Systems ; Knowledge Engineering and Ontology Development ; Knowledge-Based Systems ; Multi-Agent Systems ; Software Engineering ; Symbolic Systems

Abstract: Information systems today are dynamic, heterogeneous environments and places where a lot of critical data is stored and processed. Such an envrionment is usually build over many virtualization layers on top of backbone which is hardware and network. The key problem within this environment is to find, in realtime, valuable information among large sets of data. In this article a framework for a pattern extraction system based on artificial immune system is presented and discussed. As an example a system for anomalous pattern extraction for intrusion detection in a computer network is presented.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Pokrywka, R. (2010). ARTIFICIAL IMMUNE SYSTEM FRAMEWORK FOR PATTERN EXTRACTION IN DISTRIBUTED ENVIRONMENT. In Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT; ISBN 978-989-8425-22-5; ISSN 2184-2833, SciTePress, pages 179-183. DOI: 10.5220/0002866001790183

@conference{icsoft10,
author={Rafał Pokrywka.},
title={ARTIFICIAL IMMUNE SYSTEM FRAMEWORK FOR PATTERN EXTRACTION IN DISTRIBUTED ENVIRONMENT},
booktitle={Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT},
year={2010},
pages={179-183},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0002866001790183},
isbn={978-989-8425-22-5},
issn={2184-2833},
}

TY - CONF

JO - Proceedings of the 5th International Conference on Software and Data Technologies - Volume 1: ICSOFT
TI - ARTIFICIAL IMMUNE SYSTEM FRAMEWORK FOR PATTERN EXTRACTION IN DISTRIBUTED ENVIRONMENT
SN - 978-989-8425-22-5
IS - 2184-2833
AU - Pokrywka, R.
PY - 2010
SP - 179
EP - 183
DO - 10.5220/0002866001790183
PB - SciTePress