tailieunhanh - Internet Traffic Behavior Profiling for Network Security Monitoring

After the installation of Outpost Network Security is complete, you can configure the centralized automatic updates so when Outpost Network Security Client is installed on user workstations all available updates will be immediately applied so your network and each workstation always has the strongest and latest security. Centralized updates decrease network traffic. Agnitum Update Service provides automatic download and installation of each available update on all computers in your network. When configured it downloads all the necessary files from the Agnitum web site according to your specified schedule and makes them available to the clients on their request. When a. | IEEE ACM TRANSACTIONS ON NETWORKING VOL. 16 NO. 6 DECEMBER 2008 1241 Internet Traffic Behavior Profiling for Network Security Monitoring Kuai Xu Zhi-Li Zhang Member IEEE and Supratik Bhattacharyya Abstract Recent spates of cyber-attacks and frequent emergence of applications affecting Internet traffic dynamics have made it imperative to develop effective techniques that can extract and make sense of significant communication patterns from Internet traffic data for use in network operations and security management. In this paper we present a general methodology for building comprehensive behavior profiles of Internet backbone traffic in terms of communication patterns of end-hosts and services. Relying on data mining and entropy-based techniques the methodology consists of significant cluster extraction automatic behavior classification and structural modeling for in-depth interpretive analyses. We validate the methodology using data sets from the core of the Internet. Index Terms Anomaly behavior monitoring traffic profiling. I. Introduction AS THE Internet continues to grow in size and complexity the challenge of effectively provisioning managing and securing it has become inextricably linked to a deep understanding of Internet traffic. Although there has been significant progress in instrumenting data collection systems for highspeed networks at the core of the Internet developing a comprehensive understanding of the collected data remains a daunting task. This is due to the vast quantities of data and the wide diversity of end-hosts applications and services found in Internet traffic. While there exists an extensive body of prior work on traffic characterization on IP backbones especially in terms of statistical properties . heavy-tail self-similarity for thepur-pose of network performance engineering there has been very little attempt to build general profiles in terms of behaviors . communication patterns of end-hosts and services. The latter has become

• An ninh - Bảo mật
• Separability (RLS)
• Feature (Gene)
• Subset Selection
• Disease Gene Prioritization
• Exploiting Protein
• Interaction Networks
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• limited ability