Intrusion Detection Systems

Gui Guo Liu

doi:10.4028/www.scientific.net/AMM.596.852

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Intrusion Detection Systems

Intrusion Detection Systems

Abstract:

In the ear of information society, network security have become a very important issues. Intrusion is a behavior that tries to destroy confidentiality, data integrality, and data availability of network information. Intrusion detection systems are constructed as a software that automates the automatically detects possible intrusions. In this paper, we present the existing intrusion detection techniques in details including intrusion detection types, firewalls, etc.

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

852-855

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.852

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Online since:

July 2014

Authors:

Gui Guo Liu

Keywords:

Firewall, Intrusion Detection, Network Security

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References

[1] .P. Anderson. Computer Security Threat Monitoring and Surveillance. Technical report, James P. Anderson Co., Fort Washington, PA, April (1980).

Google Scholar

[2] T.H. Ptacek and T.N. Newsham. Insertion, Evasion and Denial of Service: Eluding Network Intrusion Detection. Technical report, Secure Networks, January (1998).

Google Scholar

[3] Helman, P., Liepins, G., and Richards, W. (1992). Foundations of Intrusion Detection. In Proceedings of the Fifth Computer Security Foundations Workshop pp.114-120.

DOI: 10.1109/csfw.1992.236783

Google Scholar

[4] CERT Advisory CA-1997-28, IP Denial of Service Attacks. http: /www. cert. org/advisories/CA-1997-28. html.

Google Scholar

[5] S. Cobb. ICSA Firewall Policy Guide v2. 0., NCSA Security White Paper Series, (1997).

Google Scholar

[6] J. Wack, K. Cutler and J. Pole. Guidelines on Firewalls and Firewall Policy., NIST Recommendations, SP 800-41, January (2002).

DOI: 10.6028/nist.sp.800-41

Google Scholar

[7] Wenke Lee, Salvatore J. Stolfo. Data Mining Approaches for Intrusion Detection. Proceedings of the 7th USENIX Security Symposium. (2000).

Google Scholar

[8] W. Lee, S. J. Stolfo, P.K. Chan, E. Eskin, W. Fan, S. Hershkop M. Miller, and J. Zhang. Real time data mining-based intrusion detection. In DARPA Information Survivability Con-ference and Exposition (DISCEX II'01), Anaheim, California, June (2001).

DOI: 10.1109/discex.2001.932195

Google Scholar