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Ali Asghar Khavasi ;Ciência e Natura 2016, 38 2

Author: Shirin Bateni

Source: http://www.redalyc.org/articulo.oa?id=467546204023


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Ciência e Natura ISSN: 0100-8307 cienciaenaturarevista@gmail.com Universidade Federal de Santa Maria Brasil Bateni, Shirin; Asghar Khavasi, Ali Design a security firewall policy to filter incoming traffic in packet switched networks using classification methods Ciência e Natura, vol.
38, núm.
2, mayo-agosto, 2016, pp.
821-830 Universidade Federal de Santa Maria Santa Maria, Brasil Available in: http:--www.redalyc.org-articulo.oa?id=467546204023 How to cite Complete issue More information about this article Journals homepage in redalyc.org Scientific Information System Network of Scientific Journals from Latin America, the Caribbean, Spain and Portugal Non-profit academic project, developed under the open access initiative Artigo Original DOI:10.5902-2179-460X21530 Ciência e Natura, Santa Maria v.38 n.2, 2016, Mai.- Ago.
p.
821 –830 Revista do Centro de Ciências Naturais e Exatas - UFSM ISSN impressa: 0100-8307 ISSN on-line: 2179-460X Design a security firewall policy to filter incoming traffic in packet switched networks using classification methods Shirin Bateni and Ali Asghar Khavasi Faculty Member, Computer and IT Engineering Department, Islamic Azad University, Zanjan Branch, Iran 2016-03-21-Aceitar 2016-04-22 Abstract Firewalls are core elements in network security.
However, managing firewall rules, especially for enterprise networks, has become complex and error-prone.
Firewall filtering rules have to be carefully written and organized in order to correctly implement the security policy.
In addition, inserting or modifying a filtering rule requires to overcome and filter a range of special attacks or issues in network.
In this paper, we present a machine learning based algorithm that filter Denial of Service (DoS) attacks in networks.
This filtering algorithm has been designed by using a classification algorithm based on principal component and correlation based filters.
We show good quality and performance of our algorithm experimentally by...





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