Avaliação do Classificador ARTMAP Fuzzy em redes 802.11 com Criptografia Pré-Robust Security Network (WEP e WPA)
Resumo
Nos últimos anos têm-se percebido um forte crescimento no uso da tecnologia sem fio 802.11 (Wireless LAN) e os mecanismos de segurança implementados pelas emendas IEEE 802.11i e IEEE 802.11w têm se mostrado pouco eficazes no combate a ataques contra a disponibilidade dos serviços da WLAN. Neste artigo avalia-se o desempenho do classificador ARTMAP Fuzzy na detecção de um grupo de ataques de negação de serviço (DoS) numa rede WLAN real com suporte a criptografia WEP e WPA. A rede neural ARTMAP Fuzzy foi escolhida pela sua capacidade de preservar o conhecimento anteriormente adquirido e adaptar-se a novos padrões de classificação. Os resultados obtidos demonstram que há a necessidade de uma metaheurística para fornecer parâmetros mais confiáveis para a execução do classificador e a seleção de atributos mais representativos do comportamento intrusivo existente nos ataques de DoS.Referências
Ahmad, I., Abdullah, A. e Alghamdi, A. (2010) “Towards the selection of best neural network system for intrusion detection”, International Journal of the Physical Sciences, vol. 5, n. 12, p. 1830-1839.
Ahmad, M. S., Tadakamadla, S. (2011) “Short paper: security evaluation of IEEE 802.11w specification”, Proceedings of the fourth ACM conference on Wireless network security, p. 53 - 58.
Aircrack (2011), http://www.aircrack-ng.org/.
Bellardo, J. e Savage, S. (2003) “802.11 Denial-of-Service Attacks: Real Vulnerabilities and Practical Solutions”, Proceedings of the 12th Conference on USENIX Security Symposium, vol. 12, p. 15-28.
Bicakci, K. e Tavli, B. (2009) “Denial-of-Service attacks and countermeasures in IEEE 802.11 wireless networks”, Computer Standards & Interfaces, v. 31, n. 5, p. 931-941.
Bittau, A., Handley, M. e Lackey, J. (2006) “The Final Nail in WEP's Coffin”, Proceedings of the 2006 IEEE Symposium on Security and Privacy, p. 386-400.
Carpenter, G., Grossberg, S., Markuzon, N., Reynold, J. e Rosen, D. (1992) “Fuzzy ARTMAP: A neural network for incremental supervised learning of analog multidimensional maps”, IEEE Transactions on Neural Network, vol. 3, n. 5, p. 689-713.
IDC – BRASIL (2012) “Estudo da IDC revela que foram vendidos aproximadamente 9 milhões de smartphones no Brasil em 2011”, http://www.idclatin.com/news.asp?ctr=bra&year=2012&id_release=2213, Abril.
IDC – BRASIL (2012) “Brasil comercializa 15,4 milhões de computadores em 2011 e se consolida na terceira posição do mercado mundial, segundo pesquisa da IDC”, http://www.idclatin.com/news.asp?ctr=bra&year=2012&id_release=2200, Abril.
IEEE Std. 802.11 (1999) “Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications”, p. 1-512.
IEEE Std. 802.11 (2004) “Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications – Amendment 6: Medium Access Control (MAC) Security Enhancements ”, p. 1-175.
IEEE Std. 802.11w (2009) “Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications - Amendment 4: Protected Management Frames”, p. 1-92.
Lerner, B. e Guterman, H. (2008) “Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification”, In Studies in Computational Intelligence, vol. 137, p. 77-107, Spring-Verlag.
Santra, A. K., Nagarajan, S. e Jinesh, V. N. (2012) “ Intrusion Detection in Wireless Networks using FUZZY Neural Networks and Dynamic Context-Aware Role based Access Control Security (DCARBAC)”, International Journal of Computer Applications, vol. 39, n. 4, p. 23-31.
Vilakazi, C. e Marwala, T. (2007) “Application of Feature Selection and Fuzzy ARTMAP to Intrusion Detection”, Proceedings of the Conference International on Systems, Man and Cybernetics, p. 4880-4885.
Weka (2011), http://www.cs.waikato.ac.nz/ml/weka/.
Wireshark (2011), http://www.wireshark.org/.
Wu, S. e Banzhaf, W. (2010) “The Use of Computational Intelligence in Intrusion Detection Systems: A Review”, In Applied Soft Computing, vol.10, p. 1-35.
Ahmad, M. S., Tadakamadla, S. (2011) “Short paper: security evaluation of IEEE 802.11w specification”, Proceedings of the fourth ACM conference on Wireless network security, p. 53 - 58.
Aircrack (2011), http://www.aircrack-ng.org/.
Bellardo, J. e Savage, S. (2003) “802.11 Denial-of-Service Attacks: Real Vulnerabilities and Practical Solutions”, Proceedings of the 12th Conference on USENIX Security Symposium, vol. 12, p. 15-28.
Bicakci, K. e Tavli, B. (2009) “Denial-of-Service attacks and countermeasures in IEEE 802.11 wireless networks”, Computer Standards & Interfaces, v. 31, n. 5, p. 931-941.
Bittau, A., Handley, M. e Lackey, J. (2006) “The Final Nail in WEP's Coffin”, Proceedings of the 2006 IEEE Symposium on Security and Privacy, p. 386-400.
Carpenter, G., Grossberg, S., Markuzon, N., Reynold, J. e Rosen, D. (1992) “Fuzzy ARTMAP: A neural network for incremental supervised learning of analog multidimensional maps”, IEEE Transactions on Neural Network, vol. 3, n. 5, p. 689-713.
IDC – BRASIL (2012) “Estudo da IDC revela que foram vendidos aproximadamente 9 milhões de smartphones no Brasil em 2011”, http://www.idclatin.com/news.asp?ctr=bra&year=2012&id_release=2213, Abril.
IDC – BRASIL (2012) “Brasil comercializa 15,4 milhões de computadores em 2011 e se consolida na terceira posição do mercado mundial, segundo pesquisa da IDC”, http://www.idclatin.com/news.asp?ctr=bra&year=2012&id_release=2200, Abril.
IEEE Std. 802.11 (1999) “Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications”, p. 1-512.
IEEE Std. 802.11 (2004) “Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications – Amendment 6: Medium Access Control (MAC) Security Enhancements ”, p. 1-175.
IEEE Std. 802.11w (2009) “Part 11: Wireless LAN Medium Access Control (MAC) and Physical Layer (PHY) Specifications - Amendment 4: Protected Management Frames”, p. 1-92.
Lerner, B. e Guterman, H. (2008) “Advanced Developments and Applications of the Fuzzy ARTMAP Neural Network in Pattern Classification”, In Studies in Computational Intelligence, vol. 137, p. 77-107, Spring-Verlag.
Santra, A. K., Nagarajan, S. e Jinesh, V. N. (2012) “ Intrusion Detection in Wireless Networks using FUZZY Neural Networks and Dynamic Context-Aware Role based Access Control Security (DCARBAC)”, International Journal of Computer Applications, vol. 39, n. 4, p. 23-31.
Vilakazi, C. e Marwala, T. (2007) “Application of Feature Selection and Fuzzy ARTMAP to Intrusion Detection”, Proceedings of the Conference International on Systems, Man and Cybernetics, p. 4880-4885.
Weka (2011), http://www.cs.waikato.ac.nz/ml/weka/.
Wireshark (2011), http://www.wireshark.org/.
Wu, S. e Banzhaf, W. (2010) “The Use of Computational Intelligence in Intrusion Detection Systems: A Review”, In Applied Soft Computing, vol.10, p. 1-35.
Publicado
19/11/2012
Como Citar
ARAÚJO, Nelcileno; OLIVEIRA, Ruy de; SHINODA, Ailton Akira; FERREIRA, Ed’Wilson Tavares; NASCIMENTO, Valtemir Emerêncio do.
Avaliação do Classificador ARTMAP Fuzzy em redes 802.11 com Criptografia Pré-Robust Security Network (WEP e WPA). In: SIMPÓSIO BRASILEIRO DE SEGURANÇA DA INFORMAÇÃO E DE SISTEMAS COMPUTACIONAIS (SBSEG), 12. , 2012, Curitiba.
Anais [...].
Porto Alegre: Sociedade Brasileira de Computação,
2012
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p. 310-316.
DOI: https://doi.org/10.5753/sbseg.2012.20555.
