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K. Heller, K. Svore, A. Keromytis and S. Stolfo, “One Class Support Vector Machines for Detecting Anomalous Window Registry Accesses,” 3rd IEEE Conference and Data Mining Workshop on Data Mining for Computer Security, Florida, November 2003.

has been cited by the following article:

• TITLE: Effective and Extensive Virtual Private Network

  AUTHORS: Tarek S. Sobh, Yasser Aly

  KEYWORDS: Virtual Private Network, Network Security, Secure Data Transmission

  JOURNAL NAME: Journal of Information Security, Vol.2 No.1, January 31, 2011

  ABSTRACT: A Virtual Private Network (VPN) allows the provisioning of private network services for an organization over a public network such as the Internet. In other words a VPN can transform the characteristics of a public which may be non-secure network into those of a private secure network through using encrypted tunnels. This work customized a standard VPN to a newly one called EEVPN (Effective Extensive VPN). It transmits a small data size in through a web based system in a reasonable time without affecting the security level. The proposed EEVPN is more effective where it takes small data transmission time with achieving high level of security. Also, the proposed EEVPN is more extensive because it is not built for a specific environment.