Software Engineering Institute | Carnegie Mellon University
Software Engineering Institute | Carnegie Mellon University

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Jeff Janies
January 2011 - Presentation Protographs: Graph-Based Approach to NetFlow Analysis

Topics: Network Situational Awareness

Authors: Jeff Janies

In this presentation Jeff Janies discusses how social networks can complement existing volumetric analysis.

January 2011 - Presentation Darkspace Construction and Maintenance

Topics: Network Situational Awareness

Authors: Jeff Janies, M. P. Collins (Redjack)

In this presentation, the authors discuss darkspaces, external routable address blocks to which no legitimate network traffic should be destined.

January 2010 - Presentation First Experiences with Cuckoo Bags

Topics: Network Situational Awareness

Authors: John McHugh, Jeff Janies, Teryl Taylor (FloVis)

In this presentation, Redjack staff describe cuckoo bags, data structure and tools for maintaining sets index by IPv4 and IPv6 addresses in the same structure.

September 2008 - White Paper Existence Plots: A Low-Resolution Time Series for Port Behavior Analysis

Topics: Network Situational Awareness

Authors: Jeff Janies

In this paper, Jeff Janies introduces the existence plot as a visualization and discuss its use in gaining insight into a host's behavior.

January 2008 - Presentation Visualizations of Flow and Analytical Results

Topics: Network Situational Awareness

Authors: Phil Groce, Jeff Janies

In this presentation, the authors discuss the role of visualization in performing network flow analysis.

January 2008 - Presentation Visualization as an Analysis Tool: Presentation Supplement

Topics: Network Situational Awareness

Authors: Jeff Janies

In this presentation supplement, the authors show the syntax of many MATLAB commands in numerical Python.

May 2007 - Conference Paper Predicting Future Botnet Addresses With Uncleanliness

Topics: Network Situational Awareness

Authors: Michael Collins, Timothy J. Shimeall, Sid Faber, Jeff Janies, Rhiannon Weaver, Markus Deshon

In this paper, the authors discuss whether we can effectively predict future bot locations.